{ "count" : 75232, "data" : [ { "id" : "6a307f92f292fd229c05ad3d", "title" : "Business Data Scientist, Marketing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Data Scientist in the Technology industry in Gurugram, India, adjusted for seniority and company size." }, "location" : "[Gurugram, Haryana, India, [Tower B, DLF Tower 8th Rd, near Uniqlo, DLF Cyber City, DLF Phase 2, Sector 24, Gurugram, Haryana 122002, India], Gurugram, 122002, HR, IN]", "locations" : [ "[Gurugram, Haryana, India, [Tower B, DLF Tower 8th Rd, near Uniqlo, DLF Cyber City, DLF Phase 2, Sector 24, Gurugram, Haryana 122002, India], Gurugram, 122002, HR, IN]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:43:58.443", "fingerprint" : "df281aed1550d0edd2ac58ab060dc723ef7efa139f17d9eaf8919f7990265fab", "source" : "google", "language" : "en", "externalId" : "75446675476226758", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurugram, Haryana, India", "technicalSkills" : "Python, R, SQL, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Statistical analysis", "Machine learning", "Data modeling", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement machine learning models, Analyze large datasets, Build data pipelines, Create dashboards and reports, Collaborate with marketing teams, Identify key business drivers, Communicate insights to stakeholders", "teamCollaboration" : "Marketing teams; Cross-functional teams", "domainKnowledge" : "Marketing analytics", "domainList" : [ "marketing-analytics" ], "domainSpecificKnowledge" : [ "Marketing analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings; Communicate insights", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Business Data Scientist, Marketing. Skills: Data Science, Machine Learning, Business Intelligence. Develop and implement machine learning models. Analyze large datasets", "postedDate" : "2026-06-16T01:48:37.742", "createdAt" : "2026-06-16T01:48:37.742", "lastUpdated" : "2026-06-16T12:43:58.443", "ingestTimestamp" : "2026-06-16T01:48:37.742", "mongoId" : "6a307f92f292fd229c05ad3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Business Intelligence", "Statistical analysis", "Machine learning", "Data modeling", "Business intelligence", "Data engineering", "Quantitative analysis", "Marketing analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a664574d8ee00a062c3c4", "title" : "Stage Septembre 2026 Business Data Scientist - Marketing effectiveness(H/F/N)", "industry" : "Data Science & AI", "salary" : { "min" : 1800.0, "max" : 1800.0, "currency" : "EUR", "frequency" : "per-month-salary" }, "location" : "Paris", "locations" : [ "Paris" ], "timestamp" : "2026-06-15T00:35:14.125", "fingerprint" : "5b0b8474a463b70c6d0431febde5964134c3f1824fa5919cfb2439192454cc6d", "source" : "lever", "language" : "fr", "applyUrl" : "https://jobs.lever.co/ekimetrics/8f7a56cc-dd1b-43ab-a639-d0d8dd731d5c/apply", "externalId" : "8f7a56cc-dd1b-43ab-a639-d0d8dd731d5c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "employmentType" : "INTERNSHIP", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "", "summaryDescription" : "Stage Septembre 2026 Business Data Scientist - Marketing effectiveness(H/F/N)", "postedDate" : "2026-06-09T11:23:57.168", "createdAt" : "2026-06-09T11:23:57.168", "lastUpdated" : "2026-06-15T00:35:14.125", "ingestTimestamp" : "2026-06-12T07:36:03.184", "mongoId" : "6a2a664574d8ee00a062c3c4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "data-science", "dataQualityScore" : 0.5555556, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3094f1f292fd229c0caa51", "title" : "Data Scientist Confirmé - H/F", "company" : "BOULANGER", "industry" : "Retail", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Lesquin, France, adjusted for the retail industry and company size." }, "location" : "Lesquin, Hauts-de-France, France", "locations" : [ "Lesquin", "Hauts-de-France", "France" ], "timestamp" : "2026-06-16T13:15:58.230", "fingerprint" : "69647bc601e466e8215beded270a2c001548d0aaa21eb29230dc3105434a17a2", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Boulanger/744000132210752-data-scientist-confirme-h-f-", "externalId" : "744000132210752", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lesquin", "state" : "Hauts-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.5888000,3.1099700" } ], "locationText" : "Lesquin, Hauts-de-France, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, SQL, PySpark, Snowflake, Databricks, GitLab", "professionalSkills" : [ "Data Science", "Business acumen", "Strategic impact" ], "hardSkillsList" : [ "Predictive modeling", "Data quality", "Data modeling", "KPI tracking" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Data Science, AI solutions", "majorSkillsList" : [ "Machine Learning", "Data Science", "AI solutions" ], "coreResponsibilities" : "Create AI models, Ensure data quality, Collaborate with requesters, Validate needs, Model AI solutions, Challenge solutions, Build AI solutions, Ensure user experience, Support user adoption, Ensure service continuity, Evaluate solution value, Supervise model quality, Animate collaboration, Contribute to data modeling, Pilot tool implementation, Pilot method implementation, Support teams in KPI tracking, Stay informed of innovations, Participate in expertise communities, Share best practices, Improve processes, Improve tools", "teamCollaboration" : "Cross-functional teams; Agile mode", "projectManagementSkills" : [ "Agile", "KPI tracking" ], "domainKnowledge" : "Business value creation", "domainList" : [ "business-value-creation" ], "domainSpecificKnowledge" : [ "Business value creation" ], "toolProficiency" : [ "GitLab" ], "communicationSkills" : "Vulgarize models", "continuousLearning" : "Access to training catalog; E-learning; In-person training", "innovationCreativity" : "Explore solutions; Test solutions; Challenge solutions", "outcomesObjectives" : "Generate tangible business impact; Boost value creation", "qualificationsBasic" : "4 years experience minimum, Bac+5 or Doctorat, Specialization in Statistics or Data Science, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PySpark experience a plus, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Depuis 70 ans, notre collectif de 8 000 collaborateurs passionnés accompagnent et réinventent le quotidien des Français. Bien plus qu’un leader de l'électroménager, avec 220 magasins et notre plateforme digitale, nous faisons mieux que vendre : nous rendons service. Nous nous engageons pour un commerce plus humain, responsable porté par des valeurs fortes : être Pro grâce à nos expertises, Simple en restant accessible, et Sympa en cultivant la bonne humeur ! Plus qu'une enseigne, rejoignez une entreprise où l’on vient pour apprendre, grandir et réussir ensemble. Boulanger : Plaisir partagé ! La Data est le moteur de notre transformation. Chez Boulanger, notre ambition est claire : donner le pouvoir à chaque collaborateur et magasin de créer de la valeur grâce à la donnée Notre objectif : Permettre à chaque Magasin, métier, collaborateur de booster sa création de valeur grâce à la data pour donner de la puissance à notre stratégie de transformation. Au sein de la Direction Data de Boulanger , au sein d’un écosystème Data Groupe en croissance , vous êtes acteur du développement de l’usage des données. Au sein d’un écosystème Groupe en pleine croissance, devenez l'architecte de nos solutions IA. Dans un environnement exigeant, vous pilotez la création de modèles prédictifs et transformez des données brutes en insights stratégiques & opérationnels pour générer un impact métier tangible. Vos missions principales : * Exploitation des données et IA : Créer des modèles IA adaptés aux besoins métiers et garantir la qualité des données avec les référents Data. * Collaboration avec les équipes : Travailler avec les demandeurs pour comprendre et valider les besoins, modéliser des solutions IA et challenger pour garantir leur valeur ajoutée. * Développement et déploiement de solutions IA : Construire des solutions sur les technologies de référence, en garantir l’ergonomie et l’expérience utilisateur, et accompagner les utilisateurs dans leur adoption. * Suivi de la qualité et performance : Assurer la continuité de service, évaluer la création de valeur des solutions et superviser la qualité des modèles déployés. Collaboration et gestion de projet : * Animer la collaboration entre le métier et les différents acteurs impliqués. * Contribuer à la modélisation des données nécessaires à la création des solutions. * Piloter la mise en place des outils et méthodes pour la gestion des projets, et accompagner les équipes dans le suivi des KPIs. Veille technologique : * Rester informé des innovations et tendances du marché. * Participer aux communautés d’expertise pour partager des bonnes pratiques et améliorer les processus et outils. Votre futur environnement technique ! Vous rejoignez un environnement \"Cloud-native\" et moderne : * Langages : Maîtrise confirmée de Python et SQL. La pratique de PySpark est un atout important. * Plateformes : Vous évoluez sur des outils comme Snowflake et Databricks. * Engineering : Maîtrise de GitLab pour le versioning et le travail collaboratif. ## Qualifications Issu d’une formation Bac+5 (Ingénieur/Master) ou Doctorat avec une spécialisation en Statistiques ou Data Science, vous avez forgé votre expertise grâce à 4 ans d'expérience minimum en tant que Data Scientist (hors stages et alternance) Vos expertises ? Une maîtrise de la Data Science concrètement appliquée aux enjeux business. Un sens de l’innovation et de l’impact stratégique pour l’entreprise. On apprécie chez vous : * Curiosité & Innovation : Vous explorez, testez et challengez les solutions existantes. * Communication : Vous savez vulgariser vos modèles pour échanger et construire avec les équipes métiers, projet & IT. Vous appréciez partager vos connaissances et faites preuve de pédagogie. * Collaboratif : Vous aimez travailler en mode Agile et transmettre votre savoir. * Synthèse : Vous allez droit au but pour générer un impact stratégique tangible. Vous aimez travailler en mode collaboratif et agile ## Additional Information Rejoignez l'aventure Boulanger Rejoindre Boulanger en CDI, c’est intégrer un collectif qui place l’humain et la circularité au cœur de ses décisions. Rejoignez-nous et soyez l'architecte du Boulanger d'aujourd'hui et de demain en mettant l'expérience client au centre de vos actions. Au sein d'une culture d'entreprise forte, vous évoluerez au carrefour des expertises, enrichi par des échanges transversaux. Faites entendre votre voix et pilotez des projets d'envergure porteurs de sens, avec une réelle autonomie pour transformer vos idées en réussites concrètes. Le poste est basé au siège social de Boulanger, à Lesquin. Nous proposons 2 jours de télétravail hebdomadaire pour favoriser votre équilibre vie pro/vie perso. Pourquoi nous rejoindre ? Prenez plaisir dans votre quotidien grâce à : * Des missions concrètes et la possibilité de développer vos compétences en continu. * Des projets porteurs de sens , que vous meniez en autonomie ou en collaboration avec votre équipe. * Un accès privilégié à notre catalogue de formations (e-learning ou présentiel) pour nourrir votre curiosité et votre expertise. * Un système de rémunération complet : Prime d’intéressement trimestrielle, prime de participation, tickets restaurant (sans oublier la mutuelle et les avantages du CSE !). * Notre forfait mobilité durable : Jusqu’à 500 € par an si, comme nous, la durabilité vous tient à cœur et que vous adoptez un mode de transport écoresponsable.", "summaryDescription" : "Data Scientist Confirmé - H/F at BOULANGER. Skills: Machine Learning, Data Science, AI solutions. Create AI models. Ensure data quality", "postedDate" : "2026-06-15T14:06:44.000", "createdAt" : "2026-06-16T03:33:48.939", "lastUpdated" : "2026-06-16T13:15:58.230", "ingestTimestamp" : "2026-06-16T03:33:48.939", "mongoId" : "6a3094f1f292fd229c0caa51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Predictive modeling", "Data quality", "Data modeling", "KPI tracking", "Machine Learning", "Data Science", "AI solutions", "Business acumen", "Strategic impact", "Agile", "Business value creation", "GitLab" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305bb6f292fd229cf5fb3b", "title" : "Data Scientist Confirmé - H/F", "company" : "BOULANGER", "industry" : "Retail", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Lesquin, France, adjusted for the retail industry and company size." }, "location" : "Lesquin, Hauts-de-France, France", "locations" : [ "Lesquin", "Hauts-de-France", "France" ], "timestamp" : "2026-06-16T10:17:46.297", "fingerprint" : "a4ca3a61034e93fdcac50440f826becbb2a2dcaee082315cb874c103069d7537", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Boulanger/744000132210752-data-scientist-confirme-h-f-", "externalId" : "744000132210752", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lesquin", "state" : "Hauts-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.5888000,3.1099700" } ], "locationText" : "Lesquin, Hauts-de-France, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, SQL, PySpark, Snowflake, Databricks, GitLab", "professionalSkills" : [ "Data Science", "IA", "Modélisation IA", "Gestion de projet" ], "hardSkillsList" : [ "Modèles prédictifs", "Qualité des données", "Modélisation des données", "Suivi des KPIs" ], "hardSkills" : [ { "name" : "Modèles prédictifs", "level" : "intermediate" }, { "name" : "Qualité des données", "level" : "intermediate" }, { "name" : "Modélisation des données", "level" : "intermediate" }, { "name" : "Suivi des KPIs", "level" : "intermediate" } ], "majorSkills" : "Data Science, IA, Modélisation prédictive", "majorSkillsList" : [ "Data Science", "IA", "Modélisation prédictive" ], "coreResponsibilities" : "Créer des modèles IA, Garantir la qualité des données, Comprendre et valider les besoins, Modéliser des solutions IA, Challenger pour garantir la valeur ajoutée, Construire des solutions sur les technologies, Garantir l'ergonomie et l'expérience utilisateur, Accompagner les utilisateurs dans leur adoption, Assurer la continuité de service, Évaluer la création de valeur des solutions, Superviser la qualité des modèles déployés, Animer la collaboration entre le métier, Contribuer à la modélisation des données, Piloter la mise en place des outils, Accompagner les équipes dans le suivi, Rester informé des innovations, Participer aux communautés d’expertise", "teamCollaboration" : "Collaboration avec les équipes; Collaboration entre le métier; Travail collaboratif; Travail en mode Agile", "projectManagementSkills" : [ "Gestion de projet", "Suivi des KPIs", "Mode Agile" ], "domainKnowledge" : "IA; Data Science", "domainList" : [ "ia", "data-science" ], "domainSpecificKnowledge" : [ "IA", "Data Science" ], "toolProficiency" : [ "GitLab" ], "communicationSkills" : "Vulgariser vos modèles", "continuousLearning" : "Accès formations; Développer compétences", "innovationCreativity" : "Curiosité; Innovation; Explorer; Tester; Challenger", "problemSolvingSkills" : "Résoudre problèmes", "outcomesObjectives" : "Générer un impact métier tangible; Générer un impact stratégique tangible", "qualificationsBasic" : "Bac+5 (Ingénieur/Master) or Doctorat, 4 years minimum experience, Maîtrise Python, Maîtrise SQL", "qualificationsPreferred" : "PySpark experience, Doctorat", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Depuis 70 ans, notre collectif de 8 000 collaborateurs passionnés accompagnent et réinventent le quotidien des Français. Bien plus qu’un leader de l'électroménager, avec 220 magasins et notre plateforme digitale, nous faisons mieux que vendre : nous rendons service. Nous nous engageons pour un commerce plus humain, responsable porté par des valeurs fortes : être Pro grâce à nos expertises, Simple en restant accessible, et Sympa en cultivant la bonne humeur ! Plus qu'une enseigne, rejoignez une entreprise où l’on vient pour apprendre, grandir et réussir ensemble. Boulanger : Plaisir partagé ! La Data est le moteur de notre transformation. Chez Boulanger, notre ambition est claire : donner le pouvoir à chaque collaborateur et magasin de créer de la valeur grâce à la donnée Notre objectif : Permettre à chaque Magasin, métier, collaborateur de booster sa création de valeur grâce à la data pour donner de la puissance à notre stratégie de transformation. Au sein de la Direction Data de Boulanger , au sein d’un écosystème Data Groupe en croissance , vous êtes acteur du développement de l’usage des données. Au sein d’un écosystème Groupe en pleine croissance, devenez l'architecte de nos solutions IA. Dans un environnement exigeant, vous pilotez la création de modèles prédictifs et transformez des données brutes en insights stratégiques & opérationnels pour générer un impact métier tangible. Vos missions principales : * Exploitation des données et IA : Créer des modèles IA adaptés aux besoins métiers et garantir la qualité des données avec les référents Data. * Collaboration avec les équipes : Travailler avec les demandeurs pour comprendre et valider les besoins, modéliser des solutions IA et challenger pour garantir leur valeur ajoutée. * Développement et déploiement de solutions IA : Construire des solutions sur les technologies de référence, en garantir l’ergonomie et l’expérience utilisateur, et accompagner les utilisateurs dans leur adoption. * Suivi de la qualité et performance : Assurer la continuité de service, évaluer la création de valeur des solutions et superviser la qualité des modèles déployés. Collaboration et gestion de projet : * Animer la collaboration entre le métier et les différents acteurs impliqués. * Contribuer à la modélisation des données nécessaires à la création des solutions. * Piloter la mise en place des outils et méthodes pour la gestion des projets, et accompagner les équipes dans le suivi des KPIs. Veille technologique : * Rester informé des innovations et tendances du marché. * Participer aux communautés d’expertise pour partager des bonnes pratiques et améliorer les processus et outils. Votre futur environnement technique ! Vous rejoignez un environnement \"Cloud-native\" et moderne : * Langages : Maîtrise confirmée de Python et SQL. La pratique de PySpark est un atout important. * Plateformes : Vous évoluez sur des outils comme Snowflake et Databricks. * Engineering : Maîtrise de GitLab pour le versioning et le travail collaboratif. ## Qualifications Issu d’une formation Bac+5 (Ingénieur/Master) ou Doctorat avec une spécialisation en Statistiques ou Data Science, vous avez forgé votre expertise grâce à 4 ans d'expérience minimum en tant que Data Scientist (hors stages et alternance) Vos expertises ? Une maîtrise de la Data Science concrètement appliquée aux enjeux business. Un sens de l’innovation et de l’impact stratégique pour l’entreprise. On apprécie chez vous : * Curiosité & Innovation : Vous explorez, testez et challengez les solutions existantes. * Communication : Vous savez vulgariser vos modèles pour échanger et construire avec les équipes métiers, projet & IT. Vous appréciez partager vos connaissances et faites preuve de pédagogie. * Collaboratif : Vous aimez travailler en mode Agile et transmettre votre savoir. * Synthèse : Vous allez droit au but pour générer un impact stratégique tangible. Vous aimez travailler en mode collaboratif et agile ## Additional Information Rejoignez l'aventure Boulanger Rejoindre Boulanger en CDI, c’est intégrer un collectif qui place l’humain et la circularité au cœur de ses décisions. Rejoignez-nous et soyez l'architecte du Boulanger d'aujourd'hui et de demain en mettant l'expérience client au centre de vos actions. Au sein d'une culture d'entreprise forte, vous évoluerez au carrefour des expertises, enrichi par des échanges transversaux. Faites entendre votre voix et pilotez des projets d'envergure porteurs de sens, avec une réelle autonomie pour transformer vos idées en réussites concrètes. Le poste est basé au siège social de Boulanger, à Lesquin. Nous proposons 2 jours de télétravail hebdomadaire pour favoriser votre équilibre vie pro/vie perso. Pourquoi nous rejoindre ? Prenez plaisir dans votre quotidien grâce à : * Des missions concrètes et la possibilité de développer vos compétences en continu. * Des projets porteurs de sens , que vous meniez en autonomie ou en collaboration avec votre équipe. * Un accès privilégié à notre catalogue de formations (e-learning ou présentiel) pour nourrir votre curiosité et votre expertise. * Un système de rémunération complet : Prime d’intéressement trimestrielle, prime de participation, tickets restaurant (sans oublier la mutuelle et les avantages du CSE !). * Notre forfait mobilité durable : Jusqu’à 500 € par an si, comme nous, la durabilité vous tient à cœur et que vous adoptez un mode de transport écoresponsable.", "summaryDescription" : "Data Scientist Confirmé - H/F at BOULANGER. Skills: Data Science, IA, Modélisation prédictive. Créer des modèles IA. Garantir la qualité des données", "postedDate" : "2026-06-15T14:06:44.000", "createdAt" : "2026-06-15T23:46:38.838", "lastUpdated" : "2026-06-16T10:17:46.297", "ingestTimestamp" : "2026-06-15T23:46:38.838", "mongoId" : "6a305bb6f292fd229cf5fb3b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Modèles prédictifs", "Qualité des données", "Modélisation des données", "Suivi des KPIs", "Data Science", "IA", "Modélisation prédictive", "Modélisation IA", "Gestion de projet", "Mode Agile", "GitLab" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306a6cf292fd229cfcc559", "title" : "STAGE QHSE F/H", "company" : "Rentokil Initial", "industry" : "Facilities Services", "salary" : { "min" : 682.0, "max" : 682.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Frépillon, IDF, France", "locations" : [ "Frépillon", "IDF", "France" ], "certifications" : [ "ISO 9001", "ISO 14001" ], "timestamp" : "2026-06-16T12:53:28.229", "fingerprint" : "f4dd7ee943ae06d6904983a6165945041e2c04c16ea74f5ef8a3bb6d3879099a", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/RentokilInitial1/744000132147369-stage-qhse-f-h-6-mois", "externalId" : "744000132147369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frépillon", "state" : "Île-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.0512302,2.2032431" } ], "locationText" : "Frépillon, Île-de-France, France", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "not-applicable", "professionalSkills" : [ "Risk assessment", "Process improvement" ], "hardSkillsList" : [ "Chemical risk assessment", "Risk assessment update", "Training material update", "Corrective action implementation", "Internal audits" ], "hardSkills" : [ { "name" : "Chemical risk assessment", "level" : "intermediate" }, { "name" : "Risk assessment update", "level" : "intermediate" }, { "name" : "Training material update", "level" : "intermediate" }, { "name" : "Corrective action implementation", "level" : "intermediate" }, { "name" : "Internal audits", "level" : "intermediate" } ], "majorSkills" : "QHSE, ISO 9001, ISO 14001, EcoVadis", "majorSkillsList" : [ "QHSE", "ISO 9001", "ISO 14001", "EcoVadis" ], "coreResponsibilities" : "Participate in chemical risk assessment, Contribute to updating the DUERP, Develop a catalog of PPE, Update technical training materials, Participate in implementing and improving the Integrated QHSE, Participate in accident analysis, Follow performance indicators (KPI), Implement corrective actions, Accompany teams during field visits, Accompany teams during internal audits, Carry out communication and awareness actions, Participate in daily tasks of the Technical and", "teamCollaboration" : "Work in team; Adapt to different interlocutors", "domainKnowledge" : "Quality Management; Hygiene Management; Safety Management; Environmental Management; ISO 9001; ISO 14001; EcoVadis; Risk assessment; PPE; DUERP", "domainList" : [ "quality-management", "hygiene-management", "safety-management", "environmental-management", "iso-9001", "iso-14001", "ecovadis", "risk-assessment", "ppe", "duerp" ], "domainSpecificKnowledge" : [ "Quality Management", "Hygiene Management", "Safety Management", "Environmental Management", "ISO 9001", "ISO 14001", "EcoVadis", "Risk assessment", "PPE", "DUERP" ], "toolProficiency" : [ "Google Sheets", "Google Docs", "Google Slides" ], "communicationSkills" : "Awareness actions", "documentationSkills" : "Training material update; DUERP update", "problemSolvingSkills" : "Accident analysis; Corrective action implementation", "outcomesObjectives" : "Maintain quality and safety requirements; Reconduction of certifications", "qualificationsBasic" : "Formation de niveau Bac +3 minimum spécialisée en QSE, HSE ou Management des Risques, Stage de 6 mois à partir de septembre 2026, Maîtrise des outils de la suite Google (Sheets, Docs, Slides), Excellent relationnel, Apprécie le travail en équipe, Sait s'adapter à différents interlocuteurs, Implication, Rigueur, Réactivité, Discrétion", "qualificationsPreferred" : "Première expérience en QHSE (stage ou alternance)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Rejoignez Technivap, la société experte de la sécurité et de l'hygiène de l’Air ! Qui sommes-nous ? Technivap, filiale du groupe Rentokil Initial , est une société experte en solutions d’hygiène de l’Air qui intervient auprès de clients tels que les cuisines professionnelles ou les industries. Nos priorités : Votre sécurité et la satisfaction client ! Dans le cadre du renforcement de notre service Technique et QHSE, nous recrutons un(e) : Stagiaire QHSE F/H – Stage de 6 mois Rattaché(e) directement à la Direction Technique et QHSE, vous jouerez un rôle clé dans l'animation et le suivi de notre démarche Qualité, Hygiène, Sécurité et Environnement. Au cœur de nos activités, vous participerez au maintien de nos exigences de qualité et de sécurité ainsi qu'à la reconduite de nos certifications ISO 9001, ISO 14001 et de notre labellisation EcoVadis. À ce titre, vos principales missions seront les suivantes : * Participer à l'évaluation des risques chimiques ; * Contribuer à la mise à jour du Document Unique d'Évaluation des Risques Professionnels (DUERP) ; * Élaborer un catalogue des équipements de protection individuelle (EPI) et du matériel référencé ; * Mettre à jour les supports de formations techniques ; * Participer à la mise en œuvre et à l'amélioration du Système de Management Intégré QHSE conformément aux exigences des normes ISO 9001 et ISO 14001 ; * Participer aux analyses des accidents du travail, au suivi des indicateurs de performance (KPI) et à la mise en place d'actions correctives ; * Accompagner les équipes lors des visites terrain et des audits internes ; * Réaliser des actions de communication et de sensibilisation auprès des collaborateurs ; * Participer aux missions quotidiennes du service Technique et QHSE. ## Qualifications Vous préparez actuellement une formation de niveau Bac +3 minimum spécialisée en QSE, HSE ou Management des Risques et vous recherchez un stage de 6 mois à partir de septembre 2026. Vous maîtrisez les outils de la suite Google (Sheets, Docs, Slides). Doté(e) d'un excellent relationnel, vous appréciez le travail en équipe et savez vous adapter à différents interlocuteurs. Votre implication, votre rigueur, votre réactivité et votre discrétion seront des atouts essentiels pour réussir dans cette mission. Une première expérience en QHSE (stage ou alternance) serait appréciée. ## Additional Information Informations supplémentaires * Poste basé Frépillon (95) * Début du stage : à partir du 1er septembre 2026 * Durée : 6 mois * Temps de travail : 35 heures par semaine * Gratification : 682,52 € net par mois", "summaryDescription" : "STAGE QHSE F/H at Rentokil Initial. Skills: QHSE, ISO 9001, ISO 14001, EcoVadis. Participate in chemical risk assessment. Contribute to updating the DUERP", "postedDate" : "2026-06-15T08:53:51.000", "createdAt" : "2026-06-16T00:06:16.917", "lastUpdated" : "2026-06-16T12:53:28.229", "ingestTimestamp" : "2026-06-16T00:06:16.917", "mongoId" : "6a306a6cf292fd229cfcc559", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Chemical risk assessment", "Risk assessment update", "Training material update", "Corrective action implementation", "Internal audits", "QHSE", "ISO 9001", "ISO 14001", "EcoVadis", "Risk assessment", "Process improvement", "Quality Management", "Hygiene Management", "Safety Management", "Environmental Management", "PPE", "DUERP", "Google Sheets", "Google Docs", "Google Slides" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3064ddf292fd229cfa3504", "title" : "STAGE QHSE F/H", "company" : "Rentokil Initial", "industry" : "Facilities Services", "salary" : { "min" : 682.0, "max" : 682.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Frépillon, IDF, France", "locations" : [ "Frépillon", "IDF", "France" ], "certifications" : [ "ISO 9001", "ISO 14001" ], "timestamp" : "2026-06-16T08:13:01.272", "fingerprint" : "a1729927c441e219ec01384b45c05a55e0838e3538cbb85566a4c38ebe84c1d6", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/RentokilInitial1/744000132147369-stage-qhse-f-h-6-mois", "externalId" : "744000132147369", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frépillon", "state" : "Île-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.0512302,2.2032431" } ], "locationText" : "Frépillon, Île-de-France, France", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "not-applicable", "professionalSkills" : [ "Risk assessment", "Process improvement" ], "hardSkillsList" : [ "Chemical risk assessment", "Risk assessment update", "Training material update", "Corrective action implementation" ], "hardSkills" : [ { "name" : "Chemical risk assessment", "level" : "intermediate" }, { "name" : "Risk assessment update", "level" : "intermediate" }, { "name" : "Training material update", "level" : "intermediate" }, { "name" : "Corrective action implementation", "level" : "intermediate" } ], "majorSkills" : "QHSE, ISO 9001, ISO 14001, EcoVadis", "majorSkillsList" : [ "QHSE", "ISO 9001", "ISO 14001", "EcoVadis" ], "coreResponsibilities" : "Participate in chemical risk assessment, Contribute to update risk assessment document, Develop a catalog of PPE, Update technical training materials, Participate in implementation and improvement of Integrated QHSE, Participate in accident analysis, Follow performance indicators (KPI), Implement corrective actions, Accompany teams during field visits, Accompany teams during internal audits, Perform communication and awareness actions, Participate in daily tasks of Technical and QHSE", "teamCollaboration" : "Work in team; Adapt to different interlocutors", "domainKnowledge" : "Quality Management; Hygiene Management; Safety Management; Environmental Management; ISO 9001; ISO 14001; EcoVadis; Chemical risks; Occupational risks; Personal protective equipment", "domainList" : [ "quality-management", "hygiene-management", "safety-management", "environmental-management", "iso-9001", "iso-14001", "ecovadis", "chemical-risks", "occupational-risks", "personal-protective-equipment" ], "domainSpecificKnowledge" : [ "Quality Management", "Hygiene Management", "Safety Management", "Environmental Management", "ISO 9001", "ISO 14001", "EcoVadis", "Chemical risks", "Occupational risks", "Personal protective equipment" ], "toolProficiency" : [ "Google Sheets", "Google Docs", "Google Slides" ], "communicationSkills" : "Awareness actions", "documentationSkills" : "Training material update; Risk assessment document update", "problemSolvingSkills" : "Accident analysis; Corrective action implementation", "outcomesObjectives" : "Maintain quality and safety requirements; Renewal of ISO 9001 certifications; Renewal of ISO 14001 certifications; Renewal of EcoVadis label", "qualificationsBasic" : "Formation de niveau Bac +3 minimum spécialisée en QSE, HSE ou Management des Risques, Stage de 6 mois à partir de septembre 2026, Maîtrise des outils de la suite Google (Sheets, Docs, Slides), Excellent relationnel, Apprécie le travail en équipe, Sait s'adapter à différents interlocuteurs, Implication, Rigueur, Réactivité, Discrétion", "qualificationsPreferred" : "Première expérience en QHSE (stage ou alternance)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Rejoignez Technivap, la société experte de la sécurité et de l'hygiène de l’Air ! Qui sommes-nous ? Technivap, filiale du groupe Rentokil Initial , est une société experte en solutions d’hygiène de l’Air qui intervient auprès de clients tels que les cuisines professionnelles ou les industries. Nos priorités : Votre sécurité et la satisfaction client ! Dans le cadre du renforcement de notre service Technique et QHSE, nous recrutons un(e) : Stagiaire QHSE F/H – Stage de 6 mois Rattaché(e) directement à la Direction Technique et QHSE, vous jouerez un rôle clé dans l'animation et le suivi de notre démarche Qualité, Hygiène, Sécurité et Environnement. Au cœur de nos activités, vous participerez au maintien de nos exigences de qualité et de sécurité ainsi qu'à la reconduite de nos certifications ISO 9001, ISO 14001 et de notre labellisation EcoVadis. À ce titre, vos principales missions seront les suivantes : * Participer à l'évaluation des risques chimiques ; * Contribuer à la mise à jour du Document Unique d'Évaluation des Risques Professionnels (DUERP) ; * Élaborer un catalogue des équipements de protection individuelle (EPI) et du matériel référencé ; * Mettre à jour les supports de formations techniques ; * Participer à la mise en œuvre et à l'amélioration du Système de Management Intégré QHSE conformément aux exigences des normes ISO 9001 et ISO 14001 ; * Participer aux analyses des accidents du travail, au suivi des indicateurs de performance (KPI) et à la mise en place d'actions correctives ; * Accompagner les équipes lors des visites terrain et des audits internes ; * Réaliser des actions de communication et de sensibilisation auprès des collaborateurs ; * Participer aux missions quotidiennes du service Technique et QHSE. ## Qualifications Vous préparez actuellement une formation de niveau Bac +3 minimum spécialisée en QSE, HSE ou Management des Risques et vous recherchez un stage de 6 mois à partir de septembre 2026. Vous maîtrisez les outils de la suite Google (Sheets, Docs, Slides). Doté(e) d'un excellent relationnel, vous appréciez le travail en équipe et savez vous adapter à différents interlocuteurs. Votre implication, votre rigueur, votre réactivité et votre discrétion seront des atouts essentiels pour réussir dans cette mission. Une première expérience en QHSE (stage ou alternance) serait appréciée. ## Additional Information Informations supplémentaires * Poste basé Frépillon (95) * Début du stage : à partir du 1er septembre 2026 * Durée : 6 mois * Temps de travail : 35 heures par semaine * Gratification : 682,52 € net par mois", "summaryDescription" : "STAGE QHSE F/H at Rentokil Initial. Skills: QHSE, ISO 9001, ISO 14001, EcoVadis. Participate in chemical risk assessment. Contribute to update risk assessment document", "postedDate" : "2026-06-15T08:53:51.000", "createdAt" : "2026-06-15T23:51:40.643", "lastUpdated" : "2026-06-16T08:13:01.272", "ingestTimestamp" : "2026-06-15T23:51:40.643", "mongoId" : "6a3064ddf292fd229cfa3504", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Chemical risk assessment", "Risk assessment update", "Training material update", "Corrective action implementation", "QHSE", "ISO 9001", "ISO 14001", "EcoVadis", "Risk assessment", "Process improvement", "Quality Management", "Hygiene Management", "Safety Management", "Environmental Management", "Chemical risks", "Occupational risks", "Personal protective equipment", "Google Sheets", "Google Docs", "Google Slides" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca4a774d8ee00a09b2bff", "title" : "Data Scientist, Marketing", "company" : "Figma", "industry" : "SaaS", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in the US Technology industry, adjusted for mid-level experience and a large company size." }, "location" : "Canada", "locations" : [ "Canada", "US" ], "timestamp" : "2026-06-16T02:07:45.437", "fingerprint" : "49733ab920a0f32373f073b56bf4d66dd8e793b4371bb6580e5181ccb8d3df73", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/figma/jobs/6013303004?gh_jid=6013303004", "externalId" : "6013303004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Machine learning models", "professionalSkills" : [ "Measurement frameworks", "Attribution models", "Audience targeting", "Creative effectiveness", "Customer engagement", "Campaign performance measurement", "Data quality improvement", "Spend optimization" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning modeling", "Data analysis", "Reporting", "Data infrastructure" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" } ], "majorSkills" : "Marketing analytics, Measurement frameworks, Machine learning", "majorSkillsList" : [ "Marketing analytics", "Measurement frameworks", "Machine learning" ], "coreResponsibilities" : "Develop and own end-to-end measurement frameworks, Develop and own attribution models, Develop and own channel-level evaluation tools, Assess the impact of marketing investments, Inform budget allocation, Partner with stakeholders, Define success metrics, Uncover insights, Drive data-informed decision making, Develop and apply statistical models, Develop and apply machine learning models, Build dashboards, Build reporting frameworks, Build analytical tools, Translate complex analyses into clear recommendations, Improve data quality, Improve measurement infrastructure, Improve reporting capabilities, Establish standards and processes, Surface new opportunities, Bring data-backed recommendations", "teamCollaboration" : "Brand Marketing teams; Creative teams; Media teams; Research teams; Email teams; Lifecycle teams; Demand Gen teams; Senior marketing leaders; Cross-functional teams", "domainKnowledge" : "Marketing investments; Brand analytics; B2B SaaS; PLG", "domainList" : [ "marketing-investments", "brand-analytics", "b2b-saas", "plg" ], "domainSpecificKnowledge" : [ "Marketing investments", "Brand analytics", "B2B SaaS", "PLG" ], "toolProficiency" : [ "Segment", "Amplitude" ], "communicationSkills" : "Clear recommendations; Actionable recommendations", "problemSolvingSkills" : "Solve complex business problems", "outcomesObjectives" : "Support long-term business growth; Improve marketing effectiveness", "qualificationsBasic" : "5+ years of experience in Data Science or Marketing Analytics, Foundation in statistics, Foundation in experimentation, Foundation in causal inference, Advanced proficiency in SQL, Experience using Python, R, or similar tools", "qualificationsPreferred" : "Experience with media mix modeling (MMM), Experience with multi-touch attribution (MTA) methodologies, Hands-on experience with marketing data platforms, Experience working in a B2B SaaS environment, Experience working in a PLG environment", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a Marketing Data Scientist to join Figma's Data Science team and drive how we measure and optimize the impact of our global brand investments. In this role, you'll partner closely with Brand Marketing, Creative, Media, and Research teams to develop measurement frameworks, generate actionable insights, and influence strategic decisions that support long-term business growth. This is a unique opportunity to be the first dedicated Data Scientist supporting Brand Marketing at Figma. You'll work directly with senior marketing leaders to establish new measurement capabilities, solve complex business problems, and define the future of brand analytics at one of the world's most recognized software companies. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Develop and own end-to-end measurement frameworks, attribution models, and channel-level evaluation tools to assess the impact of Figma's marketing investments across the full funnel and inform budget allocation Partner with stakeholders across Brand Marketing, Email, Lifecycle, Demand Gen and Research teams to define success metrics, uncover insights, and drive data-informed decision making Develop and apply statistical and machine learning models to solve key marketing challenges, including audience targeting, creative effectiveness, customer engagement, and campaign performance measurement Build dashboards, reporting frameworks, and analytical tools that help stakeholders understand brand performance and business impact Translate complex analyses into clear recommendations for marketing leaders and executive stakeholders Improve data quality, measurement infrastructure, and reporting capabilities to support a growing marketing organization — establishing standards and processes that scale with the business Proactively surface new opportunities to improve marketing effectiveness — from audience targeting to spend optimization — and bring data-backed recommendations to senior marketing and business planning discussions We'd love to hear from you if you have: 5+ years of experience in Data Science or Marketing Analytics, with a track record of supporting Marketing teams and measuring the impact of large-scale brand investments Strong foundation in statistics, experimentation, causal inference, and working with survey or qualitative research data Advanced proficiency in SQL and experience using Python, R, or similar tools to conduct analysis and build scalable measurement solutions Proven ability to influence senior non-technical leaders and cross-functional teams by translating complex analyses into clear, actionable recommendations While it's not required, it's an added plus if you also have: Experience with media mix modeling (MMM) or multi-touch attribution (MTA) methodologies Hands-on experience with marketing data platforms such as Segment, Amplitude, or similar tools Experience working in a B2B SaaS or PLG environment At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $140,000—$348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.", "summaryDescription" : "Data Scientist, Marketing at Figma. Skills: Marketing analytics, Measurement frameworks, Machine learning. Develop and own end-to-end measurement frameworks. Develop and own attribution models", "postedDate" : "2026-06-14T20:11:10.753", "createdAt" : "2026-06-14T20:11:10.753", "lastUpdated" : "2026-06-16T02:07:45.437", "ingestTimestamp" : "2026-06-14T20:11:10.753", "mongoId" : "6a2ca4a774d8ee00a09b2bff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning modeling", "Data analysis", "Reporting", "Data infrastructure", "Marketing analytics", "Measurement frameworks", "Machine learning", "Attribution models", "Audience targeting", "Creative effectiveness", "Customer engagement", "Campaign performance measurement", "Data quality improvement", "Spend optimization", "Marketing investments", "Brand analytics", "B2B SaaS", "PLG", "Segment", "Amplitude" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa714", "title" : "Staff Data Scientist, Marketing", "industry" : "Marketing", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Data Scientist in Canada, adjusted for executive seniority and the technology industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T14:43:00.540", "fingerprint" : "3dc49ccc7bdfbb27ccb1eafa4430c86ada35592a9dd1da2b72fe9cfef73d323a", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/471ee13b-e9c4-4231-b3a5-142c24ff3d61/apply", "externalId" : "471ee13b-e9c4-4231-b3a5-142c24ff3d61", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, SQL, Machine learning", "professionalSkills" : [ "Marketing science", "Econometrics", "Growth analytics", "Applied data science", "Marketing measurement", "Incrementality testing", "Causal inference", "Experimental design", "Statistical modeling", "Machine learning techniques", "Churn prediction", "Attribution modeling", "Data pipelines", "Analytical systems" ], "hardSkillsList" : [ "Marketing Mix Models", "Multi-Touch Attribution", "Geo-experiments", "Holdout tests", "Incrementality measurement" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Marketing Mix Models", "level" : "intermediate" }, { "name" : "Multi-Touch Attribution", "level" : "intermediate" }, { "name" : "Geo-experiments", "level" : "intermediate" }, { "name" : "Holdout tests", "level" : "intermediate" }, { "name" : "Incrementality measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing measurement strategy, Marketing Mix Models, Multi-Touch Attribution, Causal inference", "majorSkillsList" : [ "Marketing measurement strategy", "Marketing Mix Models", "Multi-Touch Attribution", "Causal inference" ], "coreResponsibilities" : "Define long-term marketing measurement strategy, Build 2–3 year roadmap, Establish North Star metrics, Shape frameworks for marketing investment decisions, Develop advanced Marketing Mix Models, Refine advanced Marketing Mix Models, Operationalize advanced Marketing Mix Models, Develop Multi-Touch Attribution systems, Refine Multi-Touch Attribution systems, Operationalize Multi-Touch Attribution systems, Measure incremental impact, Optimize marketing ROI, Design unified measurement frameworks, Connect B2B growth strategies, Connect B2C growth strategies, Identify cross-flywheel synergies, Lead causal inference initiatives, Conduct geo-experiments, Conduct holdout tests, Conduct always-on incrementality measurement, Assess short-term marketing effects, Assess long-term marketing effects, Partner with senior stakeholders, Translate analytical outputs into business actions, Translate analytical outputs into budget decisions, Provide technical leadership, Mentor data scientists, Set best practices in experimentation, Set best practices in statistical rigor, Set best practices in production-grade analytical development", "teamCollaboration" : "Partner with Marketing; Partner with Growth; Partner with Finance", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Marketing measurement; Econometrics; B2B growth; B2C growth", "domainList" : [ "marketing-measurement", "econometrics", "b2b-growth", "b2c-growth" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Econometrics", "B2B growth", "B2C growth" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Independent problem-solving", "outcomesObjectives" : "Optimize marketing ROI", "qualificationsBasic" : "Advanced degree in Statistics, Economics, Mathematics, Engineering, Computer Science, or related quantitative discipline, 6+ years industry experience (Ph.D.), 10+ years industry experience (Master's), Expertise in marketing measurement methodologies, Advanced programming skills in Python or R, Advanced programming skills in SQL, Experience building scalable data pipelines, Experience building production-level analytical systems, Deep understanding of experimental design, Deep understanding of statistical modeling, Deep understanding of machine learning techniques, Proven ability to influence executive stakeholders, Communicate complex quantitative insights in a clear, business-oriented manner, Experience working in fast-paced, ambiguous environments, Independent problem-solving, Framework development", "qualificationsPreferred" : "Ph.D. preferred, Specific ML framework experience preferred, Cloud platform certs preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and lead the long-term marketing measurement strategy by building a 2–3 year roadmap, establishing North Star metrics, and shaping frameworks that guide large-scale marketing investment decisions. Develop, refine, and operationalize advanced Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to measure incremental impact and optimize marketing ROI across channels. Design unified measurement frameworks that connect B2B (advertiser acquisition and retention) and B2C (user acquisition and engagement) growth strategies, identifying cross-flywheel synergies. Lead causal inference initiatives, including geo-experiments, holdout tests, and always-on incrementality measurement to assess both short-term and long-term marketing effects. Partner with senior stakeholders across Marketing, Growth, and Finance to translate complex analytical outputs into clear business actions and budget decisions. Provide technical leadership by mentoring data scientists, setting best practices in experimentation, statistical rigor, and production-grade analytical development. Requirements: Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related quantitative discipline. 6+ years (Ph.D.) or 10+ years (Master’s) of industry experience in marketing science, econometrics, growth analytics, or applied data science roles. Strong expertise in marketing measurement methodologies, including MMM, incrementality testing, causal inference, and customer lifetime value modeling. Advanced programming skills in Python or R and SQL, with experience building scalable data pipelines and production-level analytical systems. Deep understanding of experimental design, statistical modeling, and machine learning techniques applied to business problems such as churn prediction or attribution modeling. Proven ability to influence executive stakeholders and communicate complex quantitative insights in a clear, business-oriented manner. Experience working in fast-paced, ambiguous environments requiring independent problem-solving and framework development. Benefits: Global benefits programs supporting lifestyle needs, professional development, and caregiving support Family planning support Gender-affirming care coverage Mental health and coaching resources Comprehensive medical coverage and health care spending accounts Retirement savings plan with employer matching contributions Income replacement and protection programs Flexible vacation policies and paid volunteer time off Generous paid parental leave. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Staff Data Scientist, Marketing. Skills: Marketing measurement strategy, Marketing Mix Models, Multi-Touch Attribution, Causal inference. Define long-term marketing measurement strategy. Build 2–3 year roadmap", "postedDate" : "2026-06-15T13:15:30.247", "createdAt" : "2026-06-15T13:15:30.247", "lastUpdated" : "2026-06-16T14:43:00.540", "ingestTimestamp" : "2026-06-16T03:21:22.505", "mongoId" : "6a30511af292fd229cefa714", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Marketing Mix Models", "Multi-Touch Attribution", "Geo-experiments", "Holdout tests", "Incrementality measurement", "Leadership", "Mentoring", "Marketing measurement strategy", "Causal inference", "Marketing science", "Econometrics", "Growth analytics", "Applied data science", "Marketing measurement", "Incrementality testing", "Experimental design", "Statistical modeling", "Machine learning techniques", "Churn prediction", "Attribution modeling", "Data pipelines", "Analytical systems", "Roadmap planning", "B2B growth", "B2C growth" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3056b8f292fd229cf2d7ee", "title" : "Online Marketing Stage", "company" : "Butternut Box", "industry" : "E-Commerce", "salary" : { "min" : 550.0, "max" : 550.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Netherlands, Amsterdam", "locations" : [ "Netherlands", "Amsterdam" ], "timestamp" : "2026-06-16T07:28:39.623", "fingerprint" : "3a3a98570dcc13b04bdd0c26662f79fa64e623fe5ae6370b30185b66ad920f5d", "source" : "greenhouse", "language" : "nl", "applyUrl" : "https://job-boards.greenhouse.io/butternutbox/jobs/8592041002", "externalId" : "8592041002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "technicalSkills" : "Excel, PowerPoint", "professionalSkills" : [ "Content creation", "Performance analysis", "Growth marketing" ], "hardSkillsList" : [ "Paid social advertising", "UGC strategy", "Influencer marketing" ], "hardSkills" : [ { "name" : "Paid social advertising", "level" : "intermediate" }, { "name" : "UGC strategy", "level" : "intermediate" }, { "name" : "Influencer marketing", "level" : "intermediate" } ], "majorSkills" : "Paid social, Content creation, Performance analysis, Growth marketing", "majorSkillsList" : [ "Paid social", "Content creation", "Performance analysis", "Growth marketing" ], "coreResponsibilities" : "Develop UGC strategy, Approach UGC creators, Manage UGC creators, Create content for ads, Collaborate with agencies, Ensure campaign execution, Brief creators, Provide feedback on content, Improve social ad quality, Analyze campaign performance, Optimize campaigns, Assist with influencer campaigns, Invite influencers for campaigns, Invest in influencer relationships", "teamCollaboration" : "Local marketing team; Agencies", "domainKnowledge" : "Digital marketing; Paid social channels; Social trends; Instagram; TikTok", "domainList" : [ "digital-marketing", "paid-social-channels", "social-trends", "instagram", "tiktok" ], "domainSpecificKnowledge" : [ "Digital marketing", "Paid social channels", "Social trends", "Instagram", "TikTok" ], "continuousLearning" : "Learn digital marketing", "outcomesObjectives" : "Increase brand awareness; Acquire new customers", "qualificationsBasic" : "Minimum 5 months availability, 3 days per week in office, Fluent in Dutch, Fluent in English", "qualificationsPreferred" : "Full-time availability, Summer 2026 start", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ben je gek op honden, dol op social media en wil je alles leren over digital marketing? Dan hebben wij een stage die precies bij je past. We zoeken een enthousiaste stagiair(e) voor minimaal 5 maanden, vanaf juni, juli, augustus of september 2026. Je werkt 3 dagen per week op ons gezellige kantoor in Amsterdam, de andere 2 dagen kun je lekker thuiswerken. Het kan een meewerkstage zijn of een combinatie van meewerken met een afstudeeronderzoek. \uD83D\uDC36 Over Butternut Box Het is onze missie om gezondheid en blijdschap te bezorgen aan honden en baasjes over de hele wereld. Bij Butternut Box geloven we dat honden het beste verdienen. Daarom maken wij vers, lekker en gezond hondenvoer. We zijn een snelgroeiend bedrijf dat begonnen is in Engeland en sinds 2022 actief is in Nederland. Hier willen we natuurlijk hetzelfde gaan waarmaken: zo veel mogelijk honden geven wat ze verdienen! Butternut Box is een nieuw soort hondenvoer: vers. De ingrediënten zijn van hoge kwaliteit, langzaam gegaard zodat zo veel mogelijk vitaminen behouden worden, en er zit geen narigheid in. En ook erg handig voor de baasjes: je bestelt onze box online en het verse voer wordt in perfecte porties bezorgd tot aan je deur. Ons kantoor zit op de Weteringschans in Amsterdam, direct boven de Vijzelgracht metro-ingang. Hier werken we met ongeveer 25 Butternut squad members. We zijn 3 dagen in de week op kantoor (di/wo/do). Er is veel gezelligheid en er zitten tal van leuke lunch en koffiezaken om de hoek van ons kantoor! \uD83D\uDCE3 Over de stage Samen met jou willen we meer honden in Nederland en België laten kennismaken met Butternut Box. Jij gaat ons helpen met het verzamelen van sterke paid social advertenties met behulp van UGC (User Generated Content) creators. Jij zal een belangrijke rol spelen in het werven en managen van deze content creators, door ze te benaderen en door samen te werken met agencies, en je zal helpen bij het analyseren van de performance van onze paid social kanalen zoals Instagram en Facebook. Ook zul je betrokken zijn bij de inzet van influencers en dogfluencers voor campagnes en merk activaties. Zo kunnen we onze brand awareness een boost geven en veel nieuwe klanten binnen halen in de Nederlandse en Belgische markt! Je werkt nauw samen met ons lokale marketing team en leert veel over paid social, contentcreatie, performance analyse en growth marketing. Wat je zoal gaat doen: Het opstellen en naleven van de UGC (User Generated Content) strategie Benaderen en managen van UGC creators om content te creëren voor advertenties op Facebook en Instagram Samenwerken met agencies en zorgen dat campagnes goed worden uitgevoerd Creators briefen en feedback geven op hun content De kwaliteit van social advertenties verbeteren op basis van data Performance van campagnes analyseren en leren optimaliseren Meewerken aan influencer & dogfluencer campagnes Het uitnodigen van influencers voor onze merkcampagnes en investeren in onze relaties met hen Honden knuffelen op kantoor (ja, echt) ⭐ Wat we zoeken in jou Je spreekt vloeiend Nederlands én Engels Je bent minimaal 20 weken beschikbaar, bij voorkeur fulltime (of afstuderen met minimaal 3 dagen per week meewerken) Je kunt 3 dagen per week op kantoor zijn voor je stage (dinsdag-donderdag) Je start het liefst in de zomer van 2026, vanaf begin september is ook bespreekbaar Je bent creatief, zelfstandig en hebt oog voor detail Je volgt de nieuwste social trends op Instagram en TikTok Je vindt het leuk om contact te hebben met creators en bureaus Je bent nieuwsgierig en wil graag meer leren over digital marketing Je bent georganiseerd, zelfstandig en vindt het leuk om met verschillende projecten tegelijk bezig te zijn Je kunt overweg met tools als Excel, PowerPoint en mail Je houdt van honden \uD83D\uDC36 \uD83D\uDE4C Wat wij bieden €550 stagevergoeding per maand (op basis van een stage van 5 dagen per week) Reiskostenvergoeding Vakantiedagen Hybride werken (2 dagen per week thuis) Wekelijkse gratis lunch op kantoor in Amsterdam Korting op Butternut Box voor je eigen hond of die van familie of vrienden Een gezellig team met regelmatig team uitjes, ruimte voor eigen ideeën en veel leren Werken bij een B Corp – impact maken voor dier, mens en planeet \uD83E\uDD1D Wie begeleidt jou? Je stagebegeleider is Raoul, onze Head of Growth: “Ik ben gek op honden, data én creativiteit. Bij Butternut komt dat allemaal samen. Tijdens je stage leer ik je denken en werken als een growth marketeer. Je leert campagnes opzetten, testen, optimaliseren en analyseren – en dat met een flinke dosis fun.” Raoul heeft ervaring bij onder andere Westwing, Made.com en Bombinate. Sinds 2022 bouwt hij aan het succes van Butternut Box in Nederland. Klinkt dit als jouw perfecte stageplek? Stuur ons snel je CV (en bij voorkeur ook een korte motivatie) en wie weet zorg jij straks mee voor blije honden én blije baasjes in Nederland en België!", "summaryDescription" : "Online Marketing Stage at Butternut Box. Skills: Paid social, Content creation, Performance analysis, Growth marketing. Develop UGC strategy. Approach UGC creators", "postedDate" : "2026-06-15T23:21:25.402", "createdAt" : "2026-06-15T23:21:25.402", "lastUpdated" : "2026-06-16T07:28:39.623", "ingestTimestamp" : "2026-06-15T23:21:25.402", "mongoId" : "6a3056b8f292fd229cf2d7ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Paid social advertising", "UGC strategy", "Influencer marketing", "Paid social", "Content creation", "Performance analysis", "Growth marketing", "Digital marketing", "Paid social channels", "Social trends", "Instagram", "TikTok" ], "skillCount" : 12, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30588ef292fd229cf43068", "title" : "Assistant(e) Trade Marketing - Stage 6 Mois - F/H", "company" : "Courir", "industry" : "Retail", "salary" : { "min" : 22000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level internship in the retail industry in Paris, France, with adjustments for the specific company and role." }, "location" : "Paris, Région Île-de-France, France", "locations" : [ "Paris", "Région Île-de-France", "France" ], "timestamp" : "2026-06-16T10:54:09.302", "fingerprint" : "68feba8faf1316b85fae3c8bc164e058660063218f2d24af96fa7b2b11977e03", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Courir/744000132184020-assistant-e-trade-marketing-stage-6-mois-f-h-", "externalId" : "744000132184020", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "Île-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.8588897,2.3200410" } ], "locationText" : "Paris, Île-de-France, France", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "technicalSkills" : "Office Suite, Adobe Suite", "professionalSkills" : [ "Business partner posture", "Solution oriented" ], "hardSkillsList" : [ "Trade marketing deployment", "Campaign communication", "Retail best practices" ], "hardSkills" : [ { "name" : "Trade marketing deployment", "level" : "intermediate" }, { "name" : "Campaign communication", "level" : "intermediate" }, { "name" : "Retail best practices", "level" : "intermediate" } ], "majorSkills" : "Trade marketing, Campaign management, Retail operations", "majorSkillsList" : [ "Trade marketing", "Campaign management", "Retail operations" ], "coreResponsibilities" : "Support trade operations deployment, Validate BAT with stakeholders, Ensure store operation conformity, Oversee punctual operation execution, Implement trade operations in store, Communicate campaign information clearly, Report on trade operations, Coordinate with different teams, Consolidate operation data, Participate in store openings, Organize trade operations for openings, Update store database, Manage shooting-related requests, Organize urgent shipments, Coordinate with dedicated stockman, Monitor retail best practices, Recommend consumer activations", "teamCollaboration" : "Work in synergy with colleagues; Contribute to collective dynamics", "domainKnowledge" : "Sneaker retail", "domainList" : [ "sneaker-retail" ], "domainSpecificKnowledge" : [ "Sneaker retail" ], "toolProficiency" : [ "Yoobic" ], "communicationSkills" : "Good writing skills", "continuousLearning" : "E-learning platform access", "specialRequirements" : "1-2 days remote/week, After 2 months training", "qualificationsBasic" : "Bac +4/5 in Marketing, 6 months internship, First internship in marketing, Good Office Suite knowledge, Good Adobe Suite knowledge", "qualificationsPreferred" : "University or business school degree", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Courir est le n°1 de la Sneaker en France! Et l'enseigne préférée des Femmes. Avec plus de 3600 collaborateurs, +330 magasins à travers le monde. Courir vous propose un projet audacieux : rendre la Sneaker accessible à tous. L'aventure Courir? C'est partager une ambition, bâtie dans un état d'esprit positif riche de 40 ans d'histoire, c'est aussi révéler son talent et partager sa passion pour la Sneaker. Bien plus qu'une tendance, un véritable état d'esprit qui transcende les styles et les générations. Le Groupe Courir recherche un Assistant(e)s Trade Marketing à partir du 6 juillet en Stage de 6 mois sur son Siège de Paris pour rejoindre les équipes de la Direction Marketing et Image.. Rattaché(e)s aux Responsable Trade Marketing, vous êtes reconnu(e)s pour être orientés solutions et pour votre posture de véritables business partners. Vous aimez travailler en synergie avec vos collègues et contribuer activement à la dynamique collective. Vos Challenges : * Support au déploiement des opérations trade : participer à la validation des BAT avec les parties prenantes, veiller à la conformité des opérations en magasin (instore et écrans) via notre outil Yoobic , ainsi qu’au bon déroulement des opérations ponctuelles (ex. activations consommateurs). * Mise en place des opérations trade en magasin : assurer leur déploiement efficace et leur suivi. * Communication des campagnes : garantir une diffusion claire et fluide des informations auprès des magasins et des équipes internes. * Reporting des opérations trade : coordonner les échanges avec les différentes équipes et consolider les données. * Ouvertures de magasins : participer aux réunions d’ouverture, organiser les opérations trade spécifiques à ces ouvertures et mettre à jour la base de données des magasins. * Gestion des demandes liées aux shootings : organiser les envois urgents (par coursier, etc.) et coordonner avec le stockman dédié. * Veille concurrentielle : suivre les meilleures pratiques du retail et apporter des recommandations sur les activations consommateurs. ## Qualifications * Vous préparez une formation de bac +4/5, de type université ou école de commerce avec une spécialité en Marketing et vous recherchez un stage de 6 mois à partir de janvier 2026. * Vous avez déjà réaliser un premier stage en marketing. * Vous êtes curieux, ouvert d’esprit et aimez partager votre bonne humeur. * Vous êtes rigoureux et faites preuve de réactivité. * Vous avez de bonnes compétences rédactionnelles. * Vous aimez travailler en équipe, vos qualités relationnelles sont reconnues. Vous avez la culture du service client. * Vous avez une bonne connaissance de la suite office (Word, Excel, Powerpoint) et aussi de la suite Adobe. ## Additional Information Le processus de recrutement : 1) Enregistrement d'une vidéo sur Visiotalent pour vous connaître au-delà de votre CV 2) Entretien en présentiel avec la Responsable Trade Marketing Rejoindre la team Courir c’est : · Intégrer une entreprise en pleine croissance en France et à l'International · Partager une aventure collective tournée vers une mode plus responsable (recyclage de sneakers, opération Octobre Rose,…) · Être acteur de sa carrière en bénéficiant d'une politique RH dynamique (formations, accès illimité à notre plateforme e-learning, évolutions, mobilités, cooptation.) Mais c’est aussi : · Un Siège situé dans le 11ème Arrondissement de Paris · 1 à 2 jours de télétravail par semaine après 2 mois de formation · Une paire de sneakers offerte à l’intégration (lors du Welcome Day) · Une carte fidélité salarié qui offre -25% (dès 1 mois d'ancienneté) · Une carte Titre Restaurant Swile (dès 3 mois d'ancienneté) Envie de découvrir les coulisses et toutes les actus du Groupe Courir ? Rejoignez-nous sur @inside_courir Nous sommes bien entendu engagés en faveur de l’inclusion et du handicap. Chaque talent est ainsi reconnu pour sa singularité et trouve toute sa place dans nos équipes.", "summaryDescription" : "Assistant(e) Trade Marketing - Stage 6 Mois - F/H at Courir. Skills: Trade marketing, Campaign management, Retail operations. Support trade operations deployment. Validate BAT with stakeholders", "postedDate" : "2026-06-15T12:06:36.000", "createdAt" : "2026-06-15T23:46:37.531", "lastUpdated" : "2026-06-16T10:54:09.302", "ingestTimestamp" : "2026-06-15T23:46:37.531", "mongoId" : "6a30588ef292fd229cf43068", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Trade marketing deployment", "Campaign communication", "Retail best practices", "Trade marketing", "Campaign management", "Retail operations", "Business partner posture", "Solution oriented", "Sneaker retail", "Yoobic" ], "skillCount" : 10, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305760f292fd229cf38d38", "title" : "Stage assistant administratif formation H/F", "company" : "JD Sports France", "industry" : "Retail", "salary" : { "min" : 12000.0, "max" : 15000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level internship compensation in France, adjusted for the retail industry and Hem's city tier." }, "location" : "2 avenue Antoine Pinay 59510 HEM", "locations" : [ "2 avenue Antoine Pinay 59510 HEM" ], "timestamp" : "2026-06-16T09:06:21.889", "fingerprint" : "4c957e73d83830249c670db8597e83d7f1994a88937d559f3744035d262ec158", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.eu.greenhouse.io/jdsportsfr/jobs/4897760101", "externalId" : "4897760101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "HEM", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.6540895,3.1839429" } ], "locationText" : "HEM, France", "employmentType" : "INTERNSHIP", "professionalSkills" : [ "Administrative management", "Budget tracking", "Data management" ], "hardSkillsList" : [ "Reporting", "Expense tracking", "Invoice processing" ], "hardSkills" : [ { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Expense tracking", "level" : "intermediate" }, { "name" : "Invoice processing", "level" : "intermediate" } ], "majorSkills" : "Administrative support, Training management, Budget monitoring", "majorSkillsList" : [ "Administrative support", "Training management", "Budget monitoring" ], "coreResponsibilities" : "Manage administrative and logistical aspects of training, Participate in collecting training needs, Track training budget, Generate monthly reports, Compile training needs into annual plan, Update skills development plan, Coordinate organization of training sessions, Identify and select training rooms, Coordinate training logistics, Send participant invitations, Inform employees on training schemes, Centralize attendance sheets, Centralize training certificates, Centralize participant evaluations, Collect and process expense reports, Track training organization costs, Update training expense tracking, Reconcile quotes and invoices, Approve invoices, Compile individual training files, Archive training files, Manage travel time compensation, Manage training bonuses, Grant e-learning access, Manage Coupa invoices", "teamCollaboration" : "Partner with accounting; Collaborate with HR; Collaborate with providers; Collaborate with internal teams", "domainKnowledge" : "CPF; Transition professionnelles; VAE; Bilan de compétences", "domainList" : [ "cpf", "transition-professionnelles", "vae", "bilan-de-competences" ], "domainSpecificKnowledge" : [ "CPF", "Transition professionnelles", "VAE", "Bilan de compétences" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Oral communication; Written communication", "documentationSkills" : "Training file compilation; Invoice reconciliation", "qualificationsBasic" : "Student in HR, management, administration, or business school, 2 months internship", "qualificationsPreferred" : "Interest in training, Interest in administrative management, Interest in HR issues", "workSiteFlexibility" : "Onsite", "rawDescription" : "JD SPORTS, QUI SOMMES-NOUS ? JD Sports c’est le Roi Anglais Incontesté de la Basket ! Avec plus de 3 500 boutiques dans près de 40 pays, nous sommes présents en Europe, aux States, en Asie et ailleurs. Notre mission est de devenir le leader mondial de la street fashion. Aujourd’hui, près de 150 boutiques sont implantées en France et cette ambition ne s’arrête pas là puisque de nombreuses ouvertures de magasin sont attendues chaque anné e. Notre conquête, on la conduit en se reposant sur 5 valeurs : DÉTERMINATION : Nous nous investissons pleinement pour faire évoluer les mentalités et inspirer la jeunesse. Avec détermination, aux côtés de nos équipes, de nos clients et de nos partenaires, nous repoussons les limites et transformons chaque défi en opportunité PASSION : La passion est ce qui nous anime chaque jour, elle est au cœur de notre réussite. Nous croyons qu’une équipe passionnée est la clé pour atteindre l’excellence. FUN : Nous bâtissons une culture vibrante et pleine d’énergie, un espace où chacun peut s’épanouir et grandir. Nous célébrons chaque succès et abordons les défis avec enthousiasme HONNÊTETÉ ET ÉQUITÉ : La culture du feedback est au cœur de nos interactions : elle encourage la transparence et la progression de chacun. En valorisant le dialogue, nous construisons une communauté solidaire et attachée à l’égalité des chances. AMBITION : Portés par l’ambition et une volonté d’expansion rapide, nous progressons sans relâche. Chaque action que nous entreprenons est un pas vers notre objectif de croissance rapide et de réussite Nous recherchons un(e) stagiaire assistant administratif formation H/F de 2 mois pour rejoindre notre équipe au sein de notre service formation. MISSIONS : L’assistant administratif formation H/F s’occupe de la gestion administrative et logistique de la formation. Il participe au recueil des besoins de formation et suit le budget formation. Afin d’analyser l’activité formation, il réalise des reportings mensuels et ponctuels divers. Ses missions sont les suivantes : Stratégie Formation : Il participe au recueil annuel des besoins de formation collectifs et individuels Il compile ces éléments dans le plan prévisionnel de formation annuel Il met à jour le tableau du plan de développement des compétences tout au long de l’année Opérationnel : Il coordonne l’organisation des formations collectives et individuelles : Il Identifie et sélectionne les salles de formation Il coordonne la logistique des journées de formation : transport, hôtel, repas Il envoie les convocations aux participants Il renseigne les salariés sur les questions relatives aux dispositifs de formations internes ou externes (CPF, Transition professionnelles, VAE, Bilan de compétences) Administratif : Il centralise les feuilles d’émargement, les attestations de formation, les évaluations « à chaud » des participants Il collecte, contrôle et traite les notes de frais des collaborateurs en formation en partenariat avec le service comptabilité Il suit les frais liés à l’organisation de la formation et met à jour le tableau de suivi des dépenses formation : rapprochement des devis et des factures, validation des factures en lien avec le service comptabilité Il constitue les dossiers de formation individuels et les archive Indemnisation temps de trajets Gestion des primes formations Accès E-learning des fonctions support Gestion des factures Coupa LE PROFIL : Étudiant(e) en ressources humaines, gestion, administration ou école de commerce Intérêt marqué pour la formation, la gestion administrative et les enjeux RH Organisé(e), rigoureux(se) et attentif(ve) aux détails (gestion de données, suivi de documents, contrôle de factures…) À l’aise avec les outils bureautiques, notamment Excel (reporting, suivi budgétaire, tableaux de bord) Capable de gérer plusieurs tâches en parallèle et de prioriser dans un environnement dynamique Bonnes compétences relationnelles, à l’aise à l’oral comme à l’écrit (échanges avec salariés, prestataires, équipes internes) Sens du service et capacité à accompagner les collaborateurs sur leurs demandes formation Esprit d’équipe et capacité à collaborer avec différents interlocuteurs (RH, comptabilité, prestataires) Autonome, proactif(ve) et force de proposition dans l’amélioration des process Capacité d’analyse et appétence pour les chiffres (suivi d’activité, budget formation) Discrétion et respect de la confidentialité des données RH ALORS, ENVIE DE NOUS REJOINDRE ? À compétences égales, tous nos postes sont ouverts aux personnes en situation de handicap.", "summaryDescription" : "Stage assistant administratif formation H/F at JD Sports France. Skills: Administrative support, Training management, Budget monitoring. Manage administrative and logistical aspects of training. Participate in collecting training needs", "postedDate" : "2026-06-15T23:23:23.612", "createdAt" : "2026-06-15T23:23:23.612", "lastUpdated" : "2026-06-16T09:06:21.889", "ingestTimestamp" : "2026-06-15T23:23:23.612", "mongoId" : "6a305760f292fd229cf38d38", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Reporting", "Expense tracking", "Invoice processing", "Administrative support", "Training management", "Budget monitoring", "Administrative management", "Budget tracking", "Data management", "CPF", "Transition professionnelles", "VAE", "Bilan de compétences", "Excel" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30551af292fd229cf1dcbb", "title" : "Stage - Assistant Gestion de Projet Communication et Marketing (H/F)", "company" : "SOMFY Group", "industry" : "Industrial Automation", "salary" : { "min" : 12000.0, "max" : 15000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level communication and marketing project assistant internships in France, adjusted for the manufacturing industry and the specific location of Cluses." }, "location" : "Cluses, Auvergne-Rhône-Alpes, France", "locations" : [ "Cluses", "Auvergne-Rhône-Alpes", "France" ], "timestamp" : "2026-06-16T09:03:46.821", "fingerprint" : "61bb5bc6231c75b20c149f09f6b3c3a95fe6094315f7e6c0928fc0155811f44d", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/somfygroup/744000132227140-stage-assistant-gestion-de-projet-communication-et-marketing-h-f-", "externalId" : "744000132227140", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cluses", "state" : "Auvergne-Rhône-Alpes", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.0603171,6.5804218" } ], "locationText" : "Cluses, Auvergne-Rhône-Alpes, France", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "MS Office, Digital tools", "professionalSkills" : [ "Content writing", "Content structuring", "Project management", "Supplier management", "Production management" ], "hardSkillsList" : [ "Content creation", "Content production" ], "hardSkills" : [ { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Content production", "level" : "intermediate" } ], "majorSkills" : "Marketing strategy, Communication strategy, Solar offers promotion", "majorSkillsList" : [ "Marketing strategy", "Communication strategy", "Solar offers promotion" ], "coreResponsibilities" : "Contribute to development and execution of 360° communication, Design communication kits for SOLAR offers launch, Ensure elements are adapted to relevant touchpoints, Respect brand guidelines, Collaborate with creative partners, Collaborate with internal teams, Support creation of assets, Optimize content across formats, Optimize content across platforms, Optimize content across customer journeys, Monitor deadlines, Monitor budgets, Monitor deliverables, Liaise with local marketing teams, Liaise with cross-functional stakeholders, Understand market needs, Support deployment of communication tools, Support deployment of communication materials, Help prepare reporting materials, Contribute to KPI definition", "teamCollaboration" : "Senior marketing team; BXP marketing team; R+T project team; Local marketing teams; Cross-functional teams; Creative partners; Internal teams", "projectManagementSkills" : [ "Multi-project supervision", "Planning" ], "domainKnowledge" : "Solar offers; Solar awnings; Integrated batteries; R+T 2027", "domainList" : [ "solar-offers", "solar-awnings", "integrated-batteries", "r-t-2027" ], "domainSpecificKnowledge" : [ "Solar offers", "Solar awnings", "Integrated batteries", "R+T 2027" ], "communicationSkills" : "Written communication; Oral communication", "problemSolvingSkills" : "Solution-oriented approach", "specialRequirements" : "Travel required", "qualificationsBasic" : "Master 1 or 2 in Marketing, Communication, or Business School", "qualificationsPreferred" : "Previous experience in supplier management, Previous experience in end-to-end production management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SOMFY conçoit, fabrique et distribue des solutions qui améliorent le confort, la sécurité et l’efficacité énergétique des bâtiments. Les volets, stores et systèmes d’automatisation permettent de gérer la lumière et la chaleur, d’améliorer le confort thermique et d’aider les bâtiments à s’adapter au changement climatique. Utilisées chaque jour dans des millions de logements et de sites commerciaux, ces solutions ont un réel impact sur la performance : c’est là que SOMFY intervient. Chez SOMFY, la technologie et l’innovation ont du sens : nous repensons notre façon de vivre et de travailler pour créer des solutions qui ont un véritable impact. Prêt(e) à commencer un travail qui fera réellement la différence pour les personnes et la planète ? Prêt(e) à rejoindre une équipe mondiale qui valorise l’ouverture, la collaboration et l’apprentissage ? Dans le cadre de ce stage, vous contribuerez à la conception et au déploiement de stratégies marketing et communication visant à promouvoir nos produits et services à l'échelle mondiale, en mettant particulièrement l'accent sur les offres solaires, incluant, mais sans s'y limiter, les auvents solaires, EVB Solar et les batteries intégrées. Vous participerez activement à la préparation des activations des offres 2027, la conception de présentations percutantes pour R+T 2027 et la mise en place d'une stratégie alignée sur les marchés locaux afin de garantir le succès de leur adoption lors de leur lancement. Missions et responsabilités * Contribuer au développement et à l'exécution d'une campagne de communication à 360°, du brief à la production, sur les canaux en ligne et hors ligne. L'accent sera mis en particulier sur la conception d'une campagne SOLAR transversale, avec le soutien du coordinateur marketing senior de l'équipe BXP. * Concevoir des kits de communication intégrant tous les éléments pertinents pour soutenir le lancement des offres SOLAR en 2027, en collaboration avec l'équipe du projet R+T afin de garantir la cohérence et l'impact sur le salon. * Veiller à ce que les éléments soient adaptés aux points de contact pertinents et respectent les directives de la marque, en collaboration avec les partenaires créatifs et les équipes internes. * Collaborer avec les membres seniors de l'équipe et les agences pour soutenir la création d'actifs, en optimisant le contenu à travers les formats, les plateformes et les parcours clients. Surveiller les délais, les budgets et les livrables. * Assurer la liaison avec les équipes marketing locales et les parties prenantes interfonctionnelles afin de comprendre les besoins du marché et de soutenir le déploiement des outils et des supports de communication. * Aider à préparer les supports de reporting et contribuer à la définition des KPI en collaboration avec l'équipe Marketing Activation. ## Qualifications Formation: Etudiant en Master 1 ou 2 en Marketing, Communication, ou en Ecole de Commerce. Compétences techniques : * Compétences en rédaction et en structuration de contenu. * A l'aise dans la gestion et la supervision simultanée de plusieurs projets. * Une première expérience dans la gestion de fournisseurs (par exemple, agences créatives, prestataires de production), afin d'établir des partenariats solides pour garantir le respect de la qualité, du budget et des délais serait un plus. * Une première expérience en gestion de la production de bout en bout de ressources de communication à 360 degrés, en veillant à l'alignement avec les directives de la marque sur les différents canaux et points de contact. * Maîtrise de MS Office et des outils numériques et d'espace de travail moderne. * Excellentes compétences écrites et orales, permettant une communication et une gestion de contenu efficaces au sein d'équipes internationales. * Niveau d'anglais: C1 Compétences relationnelles : * Organisé et soucieux du détail : gère plusieurs projets avec soin, précision et une planification claire. * Adaptable, pro-actif et orienté Solutions : s'épanouit dans un environnement en évolution rapide, avec une approche flexible pour gérer les changements ou les défis imprévus et adapter rapidement les solutions pour répondre aux besoins en constante évolution. * Esprit collaboratif et bon communicant: travaille efficacement avec des équipes interfonctionnelles, capable de recueillir des informations, d'aligner les objectifs, de défendre son point de vue pour exercer une influence positive, de signaler les problèmes pertinents afin d'assurer une collaboration harmonieuse. * Sensibilité culturelle et curiosité : capable de naviguer dans des contextes internationaux et d'adapter les supports à différents marchés avec des conseils. ## Additional Information Contrat: Stage Localisation : Cluses, avec des déplacements à prévoir en Haute-Savoie et en France. Durée :5 à 6 mois Démarrage : septembre/octobre 2026 Chez SOMFY, nous croyons que la diversité, la mixité et l’inclusion sont des leviers essentiels d’un collectif plus fort et plus créatif. Nous nous engageons à offrir un environnement de travail ouvert et bienveillant, où chacun, y compris les personnes en situation de handicap, peut s’épanouir et évoluer. À travers la Fondation SOMFY, nous soutenons des initiatives solidaires et environnementales et encourageons nos collaborateurs à s’impliquer dans des causes qui leur tiennent à cœur. Rejoindre SOMFY, c’est faire partie d’une entreprise responsable, humaine et engagée pour un monde plus durable. La protection des données personnelles de nos candidats est un engagement du Groupe SOMFY. Nous demandons donc à tout candidat de nous soumettre sa candidature exclusivement via notre système sécurisé , et non par e-mail ou par courrier postal.", "summaryDescription" : "Stage - Assistant Gestion de Projet Communication et Marketing (H/F) at SOMFY Group. Skills: Marketing strategy, Communication strategy, Solar offers promotion. Contribute to development and execution of 360° communication. Design communication kits for SOLAR offers launch", "postedDate" : "2026-06-15T15:20:02.000", "createdAt" : "2026-06-15T23:36:13.811", "lastUpdated" : "2026-06-16T09:03:46.821", "ingestTimestamp" : "2026-06-15T23:36:13.811", "mongoId" : "6a30551af292fd229cf1dcbb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Content creation", "Content production", "Marketing strategy", "Communication strategy", "Solar offers promotion", "Content writing", "Content structuring", "Project management", "Supplier management", "Production management", "Multi-project supervision", "Planning", "Solar offers", "Solar awnings", "Integrated batteries", "R+T 2027" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304fcef292fd229ceea250", "title" : "Stage Commis de Cuisine (H/F)", "company" : "Le Place d’Armes", "industry" : "Hospitality", "salary" : { "min" : 811.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Luxembourg, District de Luxembourg, LU", "locations" : [ "Luxembourg", "District de Luxembourg", "LU" ], "timestamp" : "2026-06-16T06:47:29.514", "fingerprint" : "08f59a37bd15da832211bed6d8d100b6e0c10790c14b0b9bb0657ea30ac1797c", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/RelaisChateaux/744000132174540-stage-commis-de-cuisine-h-f-hotel-le-place-d-armes", "externalId" : "744000132174540", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "state" : "District de Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6184236,6.1424490" } ], "locationText" : "Luxembourg, District de Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceLevel" : "internship", "hardSkillsList" : [ "Méthodes HACCP" ], "hardSkills" : [ { "name" : "Méthodes HACCP", "level" : "intermediate" } ], "majorSkills" : "Mise en place, Préparation plats, Hygiène et sécurité", "majorSkillsList" : [ "Mise en place", "Préparation plats", "Hygiène et sécurité" ], "coreResponsibilities" : "Participer à la réception des marchandises, Ranger les marchandises, Contribuer à la mise en place des plats, Élaborer les recettes, Participer aux différents services, Découvrir les coulisses d'une cuisine, Participer à la préparation des petits déjeuners, Participer à la préparation des banquets, Assurer le respect des normes d'hygiène, Assurer le respect des normes de sécurité, Contribuer à l'entretien de la cuisine, Contribuer à l'organisation de la cuisine", "teamCollaboration" : "Aux côtés de professionnels expérimentés; Sous la responsabilité du Chef Exécutif; Sous la responsabilité des Chefs de Partie", "domainKnowledge" : "Cuisine gastronomique; Cuisine de brasserie", "domainList" : [ "cuisine-gastronomique", "cuisine-de-brasserie" ], "domainSpecificKnowledge" : [ "Cuisine gastronomique", "Cuisine de brasserie" ], "continuousLearning" : "Formation interne en continue", "qualificationsBasic" : "Excellente présentation, Formation en cuisine (BEP / CAP / BAC PRO), Bonne connaissance des méthodes HACCP, Sens de l'organisation, Anglais ou français obligatoire", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Description de l'entreprise L’hôtel Le Place d’Armes, estampillé Relais & Châteaux depuis 2012, c’est aussi 3 restaurants, un Bar et un service de privatisation sur-mesure. Seul hôtel au Luxembourg distingué d’une Clef Michelin, l’établissement confirme son positionnement parmi les adresses hôtelières les plus remarquables de la destination. Récompensé comme Best Luxury City Hotel in Luxembourg , Best Luxury Small Hotel in Luxembourg et Best Luxury Art Boutique Hotel in Western Europe , l’établissement allie prestige et convivialité. Certifié Green Key , Le Place d’Armes incarne l’excellence hôtelière durable. L’hôtel offre l’hospitalité de 18 chambres & 12 suites, dans plusieurs catégories et superficies. Toutes bénéficient d'une décoration soignée dans un style classique & contemporain aux nuances douces. Pour les séjours d’affaires ou de loisirs, seul ou en famille, Le Place d’Armes associe la chaleur de l’accueil et du cadre à l’efficacité des prestations. Côté restauration, une équipe passionnée et dynamique travaille sous la direction des responsables de salle, en collaboration avec le Chef Exécutif : * La Cristallerie , restaurant gastronomique, impressionne par son cadre somptueux où feuilles d’or et vitraux Art Nouveau créent une ambiance Grand Siècle. Le Chef Milan Brée y propose une cuisine raffinée, inspirée par les saisons et les producteurs locaux. Chaque assiette reflète créativité, fraîcheur et goût, offrant une véritable expérience sensorielle. * Le Plëss , considéré comme « le poumon » de l’hôtel, combine un cadre élégant et une décoration signée Tristan Auer. Sa cuisine ouverte crée une atmosphère chaleureuse et conviviale. Le Chef Exécutif Dominik Ambros y propose une cuisine raffinée, évolutive au fil des saisons et des produits locaux. De mars à octobre, la terrasse invite à profiter du soleil luxembourgeois, tandis que le service en salle met en avant l’art de la découpe, signature du lieu. * Le Café de Paris , adresse emblématique de Luxembourg, propose une cuisine composée de produits frais et de qualité, à travers une carte qui réinvente les grands classiques de la brasserie parisienne au fil des saisons. Une cuisine généreuse et authentique, servie dans une ambiance conviviale, à déguster à toute heure. * Le 18 Bar , dernier né de l’hôtel et élu Meilleur Bar d’Hôtel en Europe au Prix Villégiature 2019, est un véritable joyau caché de Luxembourg. Il offre une expérience unique dans une ambiance douce et élégante, avec sa terrasse-jardin à l’écart de l’agitation de la ville. Du Tea Time à l’après-dîner, chaque moment est pensé pour être apprécié autour de cocktails classiques, créations originales de nos mixologues ou coupes de crémant luxembourgeois. Enfin, Le Place d’Armes met à disposition trois salons privés, parfaits pour des événements professionnels ou privés : réunions, conférences, mariages, anniversaires… Pour renforcer ses équipes, Le Place d’Armes propose un stage formateur et immersif en tant que Commis de Cuisine. Intégrez l’univers culinaire d’un établissement 5 étoiles et découvrez l’excellence aux côtés d’une équipe passionnée. Sous la responsabilité du Chef Exécutif et des Chefs de Partie, vous participerez activement à la vie quotidienne de nos cuisines. Dans le cadre de ce stage, vous aurez l’opportunité de : * Participer à la réception et au rangement des marchandises en respectant nos standards de qualité. * Contribuer à la mise en place des plats et à l’élaboration des recettes aux côtés de professionnels expérimentés. * Prendre part aux différents services et découvrir les coulisses d’une cuisine gastronomique. * Participer à la préparation des petits déjeuners et des banquets selon les besoins du point de production. * Assurer le respect rigoureux des normes d’hygiène et de sécurité. * Contribuer à l’entretien et à l’organisation de la cuisine. Pourquoi rejoindre Le Place d’Armes ? Vous vivrez une expérience enrichissante au sein d’un hôtel 5 étoiles reconnu, au contact de Chefs passionnés, dans un environnement où exigence rime avec bienveillance et transmission du savoir-faire. Convention de stage obligatoire ; Durée de 3 mois minimum - dès avril 2026 Pour des étudiants uniquement - Students only ## Qualifications * Excellente présentation * Formation en cuisine (BEP / CAP / BAC PRO) * Bonne connaissance des méthodes HACCP * Sens de l'organisation * Anglais ou français obligatoire ## Additional Information * Une indemnité de stage de 811€ mensuel * 2 jours de repos consécutifs par semaine * Uniforme fourni et entretenu par l’hôtel * Une journée d'intégration * Formation interne en continue * Un cadre de travail exceptionnel", "summaryDescription" : "Stage Commis de Cuisine (H/F) at Le Place d’Armes. Skills: Mise en place, Préparation plats, Hygiène et sécurité. Participer à la réception des marchandises. Ranger les marchandises", "postedDate" : "2026-06-15T11:23:19.000", "createdAt" : "2026-06-15T21:39:51.740", "lastUpdated" : "2026-06-16T06:47:29.514", "ingestTimestamp" : "2026-06-15T21:39:51.740", "mongoId" : "6a304fcef292fd229ceea250", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Méthodes HACCP", "Mise en place", "Préparation plats", "Hygiène et sécurité", "Cuisine gastronomique", "Cuisine de brasserie" ], "skillCount" : 6, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305ce8f292fd229cf640cc", "title" : "Contrôleur de gestion H. F - Stage", "company" : "ERIC BOMPARD", "industry" : "Retail", "salary" : { "min" : 12000.0, "max" : 15000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level internship in the retail industry in Paris, France, with adjustments for seniority and company size." }, "location" : "Paris, Île-de-France Region, France", "locations" : [ "Paris", "Île-de-France Region", "France" ], "timestamp" : "2026-06-16T10:14:50.923", "fingerprint" : "9e7cfd3d5ba72b09c7853f02f302377dcbf3de4e8cfd20d5d51a0c998d3c2a5f", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/ERICBOMPARD/744000132135990-controleur-de-gestion-h-f-stage", "externalId" : "744000132135990", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "Île-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8588897,2.3200410" } ], "locationText" : "Paris, Île-de-France, France", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "technicalSkills" : "Excel, Analyse de données", "professionalSkills" : [ "Finance d'entreprise", "Contrôle de gestion" ], "hardSkillsList" : [ "Analyse financière" ], "hardSkills" : [ { "name" : "Analyse financière", "level" : "intermediate" } ], "majorSkills" : "Contrôle de gestion, Analyse financière", "majorSkillsList" : [ "Contrôle de gestion", "Analyse financière" ], "coreResponsibilities" : "Participer aux analyses de performance, Analyser les ventes, Analyser les indicateurs clés de performance, Participer au calcul des prix de revient, Participer au suivi budgétaire, Suivre les budgets, Réaliser le forecast mensuel, Analyser les écarts, Contribuer à la production du reporting mensuel, Assurer le suivi mensuel des OPEX, Assurer le suivi mensuel des CAPEX, Participer au calcul des provisions, Contribuer à l'amélioration de la comptabilité analytique, Réaliser des analyses financières ponctuelles", "teamCollaboration" : "Partenaire des équipes opérationnelles; Interagir avec différents interlocuteurs internes", "domainKnowledge" : "Retail; Mode", "domainList" : [ "retail", "mode" ], "domainSpecificKnowledge" : [ "Retail", "Mode" ], "problemSolvingSkills" : "Esprit d'analyse; Capacité de synthèse", "qualificationsBasic" : "Formation supérieure spécialisation Finance, Formation supérieure spécialisation Contrôle de gestion", "qualificationsPreferred" : "Première expérience en Audit, Première expérience en Contrôle de gestion, Première expérience en Comptabilité, Intérêt pour le secteur du retail, Intérêt pour le secteur de la mode", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Depuis 1985, Bompard cultive l’excellence du cachemire à travers des valeurs fondatrices : transmission, durabilité et exigence de qualité. Chaque création s’inscrit dans un héritage de savoir-faire unique, porté par une maîtrise historique de la maille et une sensibilité rare à la matière. Icônes du vestiaire contemporain, les pièces Bompard dessinent des silhouettes à l’élégance française, intemporelles et affirmées. La Maison propose des collections en résonance avec leur époque, composées d’essentiels souples et raffinés, conçus à partir de matières d’exception. Engagée dans une dynamique de croissance internationale et de développement digital, Bompard affirme son positionnement de référence sur le segment du luxe responsable, en conjuguant tradition artisanale et modernité durable. Bompard recherche un(e) stagiaire Contrôleur(euse) de gestion pour une durée de 6 mois à partir du 15 septembre 2026. Rattaché(e) à la Responsable du Contrôle de gestion, vous évoluez au sein d’une équipe à taille humaine composée de deux personnes : un Contrôleur Topline et une Contrôleuse Costs. Véritable partenaire des équipes opérationnelles, vous contribuez aux analyses économiques et financières nécessaires au pilotage de la performance de l’entreprise et participez activement au suivi de l’activité. Missions principales : Contrôle de gestion Topline : produits * Participer aux analyses de performance de l’activité : boutiques, e-commerce, par canal, par pays, par collection ou par département * Contribuer à l’analyse des ventes et des indicateurs clés de performance * Participer au calcul des prix de revient de la collection Automne-Hiver 2026 en lien étroit avec les équipes Développement, Collection Merchandising et Logistique Contrôle de gestion Costs : charges * Participer au suivi budgétaire des différents services : suivi des budgets, forecast mensuel et analyse des écarts vs budget et vs N-1 * Contribuer à la production du reporting mensuel (P&L, tableaux de bord, analyses ad hoc) * Assurer le suivi mensuel des OPEX et CAPEX en lien avec l’équipe Comptabilité * Participer au calcul de certaines provisions de clôture mensuelle (suivi des apprentis, prime commerciale du réseau…) * Contribuer à l’amélioration de la comptabilité analytique : répartition des coûts, optimisation des plans de comptes analytiques * Réaliser des analyses financières ponctuelles à la demande de la Direction générale ## Qualifications Compétences techniques * Bonne maîtrise d’Excel (indispensable) * Connaissances en finance d’entreprise et contrôle de gestion * Compétences en analyse de données Qualités personnelles * Curiosité et esprit d’équipe * Rigueur et sens du détail * Bon relationnel pour interagir avec différents interlocuteurs internes * Autonomie et sens de l’organisation * Esprit d’analyse et capacité de synthèse Un intérêt pour le secteur du retail et de la mode serait particulièrement apprécié. Formation & expériences * Formation supérieure : École de commerce ou Université avec spécialisation Finance / Contrôle de gestion * Une première expérience en Audit, Contrôle de gestion ou Comptabilité serait un plus. ## Additional Information En intégrant Bompard, vous rejoignez une entreprise française , reconnue pour sa qualité et son savoir-faire unique dans le cachemire. Prêt(e) à relever ce défi ? Envoyez nous votre candidature ! Notre processus de recrutement : 1. Echange téléphonique ou visio avec l'équipe recrutement; 2. Entretien avec le/la manager. Nous avons hâte de vous rencontrer et de partager avec vous cette aventure à Paris !", "summaryDescription" : "Contrôleur de gestion H. F - Stage at ERIC BOMPARD. Skills: Contrôle de gestion, Analyse financière. Participer aux analyses de performance. Analyser les ventes", "postedDate" : "2026-06-15T08:02:16.000", "createdAt" : "2026-06-16T00:09:13.343", "lastUpdated" : "2026-06-16T10:14:50.923", "ingestTimestamp" : "2026-06-16T00:09:13.343", "mongoId" : "6a305ce8f292fd229cf640cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Analyse financière", "Contrôle de gestion", "Finance d'entreprise", "Retail", "Mode" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f05f292fd229c0547e3", "title" : "Business and Marketing Data Scientist, Applied Machine Learning", "location" : "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "locations" : [ "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:24:18.072", "fingerprint" : "4717c1e42f2ee85eecbaba5636de439dd5a54f0f3c2bed2eb122a550784617bd", "source" : "google", "language" : "en", "externalId" : "128209708757459654", "industryFunction" : { }, "structuredLocations" : [ { "city" : "new york mills", "state" : "new york", "country" : "United States", "continent" : "north america", "source" : "locations-index", "workMode" : "onsite", "geo" : "43.10535,-75.29128" }, { "city" : "nubl", "state" : "aleppo", "country" : "Syria", "continent" : "asia", "source" : "locations-index", "workMode" : "onsite", "geo" : "36.37867,36.99294" }, { "country" : "united states", "source" : "country_code_strategy", "workMode" : "onsite", "geo" : "39.8283,-98.5795" }, { "city" : "mountain view", "state" : "oklahoma", "country" : "United States", "continent" : "north america", "source" : "locations-index", "workMode" : "onsite", "geo" : "35.09756,-98.74646" } ], "locationText" : "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]; [Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "technicalSkills" : "SQL, Python, R, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Applied Machine Learning, Data Science, Business Intelligence, Marketing Analytics", "majorSkillsList" : [ "Applied Machine Learning", "Data Science", "Business Intelligence", "Marketing Analytics" ], "coreResponsibilities" : "Develop and deploy machine learning models, Analyze marketing campaign performance, Build and maintain data pipelines, Create dashboards and reports, Collaborate with marketing and product teams, Communicate findings to stakeholders", "teamCollaboration" : "Marketing teams; Product teams; Cross-functional teams", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Marketing attribution", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "marketing-attribution" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Marketing attribution" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document models; Document pipelines", "problemSolvingSkills" : "Analytical thinking; Problem-solving", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Proficiency in Python or R", "qualificationsPreferred" : "PhD in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "summaryDescription" : "Business and Marketing Data Scientist, Applied Machine Learning. Skills: Applied Machine Learning, Data Science, Business Intelligence, Marketing Analytics. Develop and deploy machine learning models. Analyze marketing campaign performance", "postedDate" : "2026-06-16T01:48:48.533", "createdAt" : "2026-06-16T01:48:48.533", "lastUpdated" : "2026-06-16T11:24:18.072", "ingestTimestamp" : "2026-06-16T01:48:48.533", "mongoId" : "6a307f05f292fd229c0547e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Applied Machine Learning", "Data Science", "Business Intelligence", "Marketing Analytics", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Marketing analytics", "Customer segmentation", "Campaign optimization", "Marketing attribution", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.0 }, { "id" : "6a2ca56974d8ee00a09b634f", "title" : "Stage Photographe H/F", "company" : "JD Sports France", "industry" : "Retail", "salary" : { "min" : 1000.0, "max" : 1500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an entry-level Stage Photographe H/F internship in Paris, France, with adjustments for the retail industry and company size." }, "location" : "Paris, Paris, France", "locations" : [ "Paris", "Paris", "France" ], "timestamp" : "2026-06-15T04:55:40.807", "fingerprint" : "083b13eb8c091c1076ef7b96bf46f5372a1695b45e529a93fa07433ae107e969", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.eu.greenhouse.io/jdsportsfr/jobs/4710960101", "externalId" : "4710960101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8588897,2.3200410" } ], "locationText" : "Paris, France", "employmentType" : "INTERNSHIP", "domainKnowledge" : "Street fashion; Brand identity; HR values", "domainList" : [ "street-fashion", "brand-identity", "hr-values" ], "domainSpecificKnowledge" : [ "Street fashion", "Brand identity", "HR values" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "JD SPORTS, QUI SOMMES-NOUS ? JD Sports c’est le Roi Anglais Incontesté de la Basket ! Avec plus de 3 500 boutiques dans près de 40 pays, nous sommes présents en Europe, aux States, en Asie et ailleurs. Notre mission est de devenir le leader mondial de la street fashion. Aujourd’hui, près de 150 boutiques sont implantées en France et cette ambition ne s’arrête pas là puisque de nombreuses ouvertures de magasin sont attendues chaque anné e. Notre conquête, on la conduit en se reposant sur 5 valeurs : DÉTERMINATION : Nous nous investissons pleinement pour faire évoluer les mentalités et inspirer la jeunesse. Avec détermination, aux côtés de nos équipes, de nos clients et de nos partenaires, nous repoussons les limites et transformons chaque défi en opportunité PASSION : La passion est ce qui nous anime chaque jour, elle est au cœur de notre réussite. Nous croyons qu’une équipe passionnée est la clé pour atteindre l’excellence. FUN : Nous bâtissons une culture vibrante et pleine d’énergie, un espace où chacun peut s’épanouir et grandir. Nous célébrons chaque succès et abordons les défis avec enthousiasme HONNÊTETÉ ET ÉQUITÉ : La culture du feedback est au cœur de nos interactions : elle encourage la transparence et la progression de chacun. En valorisant le dialogue, nous construisons une communauté solidaire et attachée à l’égalité des chances. AMBITION : Portés par l’ambition et une volonté d’expansion rapide, nous progressons sans relâche. Chaque action que nous entreprenons est un pas vers notre objectif de croissance rapide et de réussite LES MISSIONS : Nous recherchons un(e) stagiaire photographe passionné(e) pour rejoindre notre équipe au sein de notre service Communication et Marque employeur. Ce stage offre une opportunité unique d'acquérir une expérience pratique dans le domaine de la photographie et de participer à la création de support visuels de communication internes et externes. En tant que stagiaire photographe, vous serez responsable de capturer des moments d'équipe, de produits et de nos points de vente. Vos missions principales incluront : Photographie de produits/collaborateurs/points de vente : ‍-‍ Réaliser des prises de vue créatives mettant en valeur l'ADN du groupe, les valeurs RH de l'entreprise, et la qualité de nos produits et de nos infrastructures. -‍Travailler sous la responsabilité et en étroite collaboration avec la Responsable People experience pour assurer la cohérence visuelle et la conformité avec la vision de la marque. ‍Traitement d'Image : ‍-‍ Maîtriser les logiciels de retouche photo pour sublimer les images tout en préservant l'authenticité des éléments. -‍ Assurer la qualité et la cohérence des images finales destinées à être utilisées dans divers supports (site web, réseaux sociaux, supports marketing). LE PROFIL : Étudiant(e) en photographie, arts visuels ou domaine connexe. Passionné(e) par la photographie et capable de capturer l'essence de moments d'émotions, de portraits et paysages. Connaissance approfondie des techniques de photographie, d'éclairage et de retouche. Compétences avancées dans l'utilisation de logiciels de retouche photo tels que Adobe Photoshop et Lightroom. Créativité, attention aux détails et capacité à respecter les délais ALORS, ENVIE DE NOUS REJOINDRE ? À compétences égales, tous nos postes sont ouverts aux personnes en situation de handicap.", "summaryDescription" : "Stage Photographe H/F at JD Sports France", "postedDate" : "2026-06-14T02:49:15.002", "createdAt" : "2026-06-14T02:49:15.002", "lastUpdated" : "2026-06-15T04:55:40.807", "ingestTimestamp" : "2026-06-14T02:49:15.002", "mongoId" : "6a2ca56974d8ee00a09b634f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Street fashion", "Brand identity", "HR values" ], "skillCount" : 3, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c8274d8ee00a0919848", "title" : "Stage Consultant Média F/H", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 32000.0, "max" : 40000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Stage Consultant Média F/H in Paris, France, adjusted for the media industry and company size." }, "location" : "Paris, Paris, France", "locations" : [ "Paris", "Paris", "France" ], "timestamp" : "2026-06-16T01:38:46.090", "fingerprint" : "139aad13a7b49a7acd393accb692632c7525fc5a821c00f5057c88b58162c9c9", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5252557008", "externalId" : "5252557008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "technicalSkills" : "Excel, PowerPoint", "professionalSkills" : [ "Competitive analysis", "Sector analysis", "Performance analysis", "Coordination" ], "hardSkillsList" : [ "Data analysis", "Data interpretation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Media strategy, Campaign management, Growth metrics", "majorSkillsList" : [ "Media strategy", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Identify strategic opportunities, Conduct competitive analysis, Conduct sector analysis, Pilot operational campaign monitoring, Analyze campaign performance, Ensure project execution, Coordinate creative asset delivery, Ensure fluid communication, Facilitate decision making, Produce synthetic reports", "teamCollaboration" : "Integrated into a team; Foster mutual aid; Share daily", "domainKnowledge" : "Media; Advertising; New technologies", "domainList" : [ "media", "advertising", "new-technologies" ], "domainSpecificKnowledge" : [ "Media", "Advertising", "New technologies" ], "toolProficiency" : [ "Microsoft Office Suite", "Excel", "PowerPoint" ], "communicationSkills" : "Oral communication; Written communication", "problemSolvingSkills" : "Data analysis; Data interpretation", "outcomesObjectives" : "Achieve objectives", "qualificationsBasic" : "Bac +4/+5 in communication or marketing, 5 months minimum internship", "qualificationsPreferred" : "Passion for media, advertising, new technologies, English B1 to B2 level", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. Dans un souci de clarté et d’accessibilité, nous avons choisi de ne pas utiliser l’écriture inclusive dans nos communications. WPP Media est fermement engagé en faveur de la diversité : nous valorisons l'inclusion et l'égalité, en considérant tous les candidats sans distinction d'identité de genre, d'origine ethnique ou de religion. Tous nos postes sont également ouverts aux personnes en situation de handicap. A propos de WPP Media : WPP est le partenaire de confiance des plus grandes marques mondiales pour assurer leur croissance. Nous réunissons une intelligence média de pointe, une créativité de classe mondiale, une production de nouvelle génération, des solutions pour transformer le marketing à l’ère de l’IA et un conseil stratégique d’expert au sein d’une seule compagnie. Propulsés par des talents exceptionnels et WPP Open, notre plateforme de marketing agentique, nous déployons l’IA à grande échelle pour aider nos clients à naviguer dans un monde en pleines mutations et à optimiser leurs investissements marketing. Pour plus d’informations, visitez www.wpp.com. WPP Media est le collectif média global de WPP. Dans un monde où les médias sont omniprésents nous regroupons la meilleure plateforme, les meilleurs talents et les meilleurs partenaires pour développer les solutions les plus innovantes, offrant une croissance inégalée à nos clients. Pour plus d'informations, visitez wppmedia.com. Chez WPP Media, nous croyons en la puissance de notre culture et de nos collaborateurs. C'est grâce à cette synergie que nous parvenons à créer des expériences véritablement exceptionnelles, tant pour nos clients que pour nos équipes internes. Pour réussir dans ce poste, il est fondamental d'incarner les valeurs essentielles qui unissent WPP et WPP Media : Être Extraordinaire en favorisant un leadership collectif qui inspire une créativité véritablement transformationnelle. Créer un environnement Ouvert en trouvant l'équilibre parfait entre l'épanouissement de nos collaborateurs et la satisfaction de nos clients, le tout fondé sur une confiance mutuelle. Diriger avec Optimisme en stimulant activement la croissance et le développement pour mobiliser l'ensemble de notre organisation. Le contexte : Rejoignez l'équipe dédiée à un des leaders de l’industrie du café dans une ambiance de travail dynamique et collaborative. Au sein de cet écosystème accueillant, vous serez pleinement intégré à une équipe soudée qui favorise l'entraide et le partage au quotidien. Vos missions : Identifier des opportunités stratégiques en réalisant une veille concurrentielle et sectorielle pointue pour nourrir les recommandations de l'équipe. Piloter le suivi opérationnel des campagnes en analysant leur performance via un usage approfondi d'Excel (80% de votre temps) pour garantir l'atteinte des objectifs. Garantir la bonne exécution des projets en coordonnant la livraison des assets créatifs et en assurant une communication fluide avec les experts internes. Faciliter la prise de décision en produisant des comptes-rendus synthétiques et orientés action à l'issue des réunions. Compétences requises : En bac +4/+5 en communication ou marketing, à la recherche d'un stage de 5 mois minimum Une passion pour les médias, la publicité et les nouvelles technologies Une bonne capacité d’analyse et d’interprétation des données Un esprit doté de solides compétences en communication, à l'oral comme à l'écrit Anglais entre B1 et B2 Une bonne connaissance de la suite Microsoft Office et notamment de PowerPoint et d'Excel La vie chez WPP Media et ses avantages Notre engagement à façonner l'avenir des médias se manifeste par un soutien actif au développement professionnel de nos talents, les aidant à atteindre leur plein potentiel. Cette démarche s'accompagne d'une vision responsable dans nos stratégies d'investissement médiatique, reflétant ainsi notre double priorité : valoriser nos collaborateurs tout en adoptant des pratiques durables dans notre secteur. Les collaborateurs de WPP Media ont un accès privilégié aux réseaux internationaux de WPP Media et WPP, leur permettant de développer leurs passions, d'étendre leur réseau professionnel et de rester à la pointe des innovations en marketing et publicité. Nous disposons de ressources vastes et variées au service de nos collaborateurs, notre entreprise cultive activement l'inclusion des talents de tous horizons. Les réussites et expertises des équipes sont régulièrement mises en lumière lors d'événements fédérateurs qui ponctuent également les moments clés de l'année, renforçant ainsi notre culture d'entreprise collaborative et diversifié e. Ce que nous offrons : Une expérience professionnelle unique au sein d'une compagnie média renommée, où vous pourrez acquérir des compétences précieuses et développer votre réseau professionnel. L'opportunité de travailler avec des clients de premier plan et de contribuer à la création de campagnes publicitaires de grande envergure. Un accompagnement personnalisé pour tous les Padawans (stagiaires/alternants chez WPP Media) de votre intégration à votre départ … ou pas ! Des déjeuners, cafés, afterworks ainsi que différents évènements qui rythmeront votre année chez nous. Un campus à Levallois-Perret qui rassemble toutes les agences WPP (WPP Media et ses sœurs) au terminus de la ligne 3 ! Process de recrutement Entretien avec l’équipe recrutement : Un premier pré-entretien téléphonique de 5mn, puis un entretien de 30mn en visio-conférence par un membre de notre équipe recrutement. Cela nous permettra de mieux connaître vos compétences et votre expérience, et vous donnera l'occasion de poser des questions sur le poste et l'entreprise. Entretien opérationnel : Pour évaluer l'adéquation de vos compétences et de votre profil par rapport aux exigences du poste. Étude de cas : Une étude de cas vous sera proposée afin d’évaluer vos compétences techniques liées au poste. Une restitution vous sera proposé e. Nous nous engageons à rendre ce process aussi rapide et efficace que possible, et à maintenir une communication ouverte et transparente tout au long du process. WPP Media garantit l'égalité des chances et considère tous les candidats sans discrimination ni considération de caractéristiques particulières. Nous nous engageons à cultiver un environnement de respect où chacun se sent à sa place et bénéficie des mêmes opportunités d'évolution professionnelle. Consultez notre politique de confidentialité pour tout savoir sur la protection de vos données politique de confidentialité. Bien que nous étudiions toutes les candidatures reçues, nous ne contactons que les personnes sélectionnées pour un entretien. Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Stage Consultant Média F/H at WPP Media. Skills: Media strategy, Campaign management, Growth metrics. Identify strategic opportunities. Conduct competitive analysis", "postedDate" : "2026-06-14T18:58:36.089", "createdAt" : "2026-06-14T18:58:36.089", "lastUpdated" : "2026-06-16T01:38:46.090", "ingestTimestamp" : "2026-06-14T18:58:36.089", "mongoId" : "6a2c6c8274d8ee00a0919848", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data interpretation", "Media strategy", "Campaign management", "Growth metrics", "Competitive analysis", "Sector analysis", "Performance analysis", "Coordination", "Media", "Advertising", "New technologies", "Microsoft Office Suite", "Excel", "PowerPoint" ], "skillCount" : 15, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306744f292fd229cfbb1ab", "title" : "Data Scientist", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 100500.0, "max" : 150675.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-16T11:10:49.753", "fingerprint" : "f718036c327c571fbaaee5e06aa45e9f62564105866497cd0528d10a0ff5e709", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4282685009", "externalId" : "4282685009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, Salesforce CRM", "professionalSkills" : [ "Predictive modeling", "Data science", "Machine learning" ], "hardSkillsList" : [ "Causal inference", "Predictive analytics", "Statistical modeling" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Predictive modeling", "majorSkillsList" : [ "Data science", "Machine learning", "Predictive modeling" ], "coreResponsibilities" : "Build causal inference models, Develop predictive analytics, Train commercial team users, Communicate model pipeline status, Collect internal stakeholder needs, Manage assigned projects", "teamCollaboration" : "Marketing leadership; Market access leadership; Sales excellence leadership; Commercial leadership", "domainKnowledge" : "Healthcare claims data; Referral-based commercial models; Payer coverage dynamics; Prior authorization processes; DME reimbursement; Medical device reimbursement", "domainList" : [ "healthcare-claims-data", "referral-based-commercial-models", "payer-coverage-dynamics", "prior-authorization-processes", "dme-reimbursement", "medical-device-reimbursement" ], "domainSpecificKnowledge" : [ "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement" ], "toolProficiency" : [ "Power BI", "Fabric" ], "communicationSkills" : "Translate technical findings", "problemSolvingSkills" : "Intellectual curiosity", "qualificationsBasic" : "Bachelor's degree in quantitative field, 4-7 years applied data science experience, 4-7 years machine learning experience, Experience creating predictive models for non-data-scientists, Expert-level Python skills, Expert-level SQL skills, Transform messy healthcare data", "qualificationsPreferred" : "Master's or PhD in quantitative field, Survival analysis experience, Salesforce data architecture familiarity, Power BI development experience, Tableau development experience", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile’s internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership. Accountabilities building causal inference models isolating incremental referral lift from specific marketing programs • Develop predictive analytics supporting payer targeting and coverage expansion opportunities • Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support • Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making • Manage assigned projects to completion on time, within scope, and within budget. • Other duties as assigned. Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science or machine learning experience, applied in commercial or operational environments • Experience creating predictive models for non-data-scientists to make real commercial or operational decisions • Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment • Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs • Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments Preferred: • Master's or PhD in quantitative field • Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement • Survival analysis experience — has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction • Salesforce data architecture familiarity — understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data • Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards • Experience in a B2B2C or referral-based commercial model where the customer and the end user are different Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $100,500—$150,675 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Data Scientist at Tactile Medical. Skills: Data science, Machine learning, Predictive modeling. Build causal inference models. Develop predictive analytics", "postedDate" : "2026-06-15T23:28:42.042", "createdAt" : "2026-06-15T23:28:42.042", "lastUpdated" : "2026-06-16T11:10:49.753", "ingestTimestamp" : "2026-06-15T23:28:42.042", "mongoId" : "6a306744f292fd229cfbb1ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100500, "salaryAnnualMax" : 150675, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Predictive analytics", "Statistical modeling", "Data science", "Machine learning", "Predictive modeling", "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement", "Power BI", "Fabric" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305708f292fd229cf32d32", "title" : "Markets Data Scientist", "company" : "FCA", "industry" : "Government", "salary" : { "min" : 66600.0, "max" : 86000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-16T13:06:40.770", "fingerprint" : "200bacae493b3266647b57029553f7204f3d31e9c0881e38e113318e179c21ed", "source" : "workday", "language" : "en", "applyUrl" : "https://fca.wd3.myworkdayjobs.com/FCA_Careers/job/London/Markets-Data-Scientist_JR0021745-1", "externalId" : "JR0021745", "industryFunction" : { }, "locationPoint" : "36.47606,-119.44318", "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Redshift, Python, Pandas, PySpark", "professionalSkills" : [ "Data science", "Data engineering", "Feature engineering", "ETL pipelines", "Analytical products" ], "hardSkillsList" : [ "Data science", "Data engineering", "SQL", "Python", "ETL", "Feature engineering", "Data analysis", "Data visualisation", "Machine learning" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Data visualisation", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Data visualisation" ], "coreResponsibilities" : "Lead optimisation of pipelines, Transform records into datasets, Own design of dashboards, Own design of web apps, Turn data into views, Build understanding of risks, Lead analysis on issues, Empower teams to make decisions, Support colleagues, Grow technical skills, Harness data to monitor firms, Harness data to supervise firms", "teamCollaboration" : "Stakeholders; Supervisory teams; Policy teams; Market abuse teams; Colleagues", "domainKnowledge" : "Financial markets; Fixed income; Commodities; FX; Equities; Firm risks; Sector risks; Flow data; Exposure data; Market abuse; Regulatory data", "domainList" : [ "financial-markets", "fixed-income", "commodities", "fx", "equities", "firm-risks", "sector-risks", "flow-data", "exposure-data", "market-abuse", "regulatory-data" ], "domainSpecificKnowledge" : [ "Financial markets", "Fixed income", "Commodities", "FX", "Equities", "Firm risks", "Sector risks", "Flow data", "Exposure data", "Market abuse", "Regulatory data" ], "toolProficiency" : [ "Tableau", "Pandas", "PySpark" ], "problemSolvingSkills" : "Data analysis; Risk analysis", "specialRequirements" : "SC Clearance", "qualificationsBasic" : "Advanced data science experience, Advanced data engineering experience, Financial markets context, Design efficient SQL code, Design efficient Python code, Complex ETL pipelines, Feature engineering, Joining commercial data, Analysing commercial data, Manipulating commercial data, Joining regulatory data, Analysing regulatory data, Manipulating regulatory data, Visualisation, Pandas, PySpark, Understanding of financial markets, Machine learning techniques, Market data, Developing analytical products, Self-service tools, Web applications, Engage with stakeholders, SC Clearance required", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "**Job title:** Markets Data Scientist **Division:** Enforcement & Market Oversight **Department:** Market Oversight, Data & Intelligence * **Salary:** National (Edinburgh & Leeds) ranging from £60,700 to £78,000 and London ranging from £66,600 to £86,000 (salary offered will be based on skills and experience) * **This role is graded as:** Lead Associate – Regulatory * **Your recruitment contact is** Riley Fox at [riley.fox@fca.org.uk](mailto:riley.fox@fca.org.uk) \\- Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted. ** _About the FCA and team_** We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Market Oversight Directorate oversees conduct in UK primary and secondary markets through the listing, prospectus, and market abuse regimes, aiming to promote trusted, orderly, and efficient markets via its four departments: Listing, Primary Market Oversight, Secondary Market Oversight, and Market Oversight Data & Intelligence. Sitting within the Market Oversight Directorate, the Market Oversight Data and Intelligence (MODI) Department, formed in 2024, drives data-led regulation by delivering specialist services, intelligence, and casework across UK markets, supporting innovation, insight, and effective oversight through advanced analytical and technical capabilities. **_Role responsibilities_** * Leading the optimisation of high-performance pipelines of trading and position data, transforming millions of daily records into model‑ready datasets for risk and market analysis * Owning the design and insights from interactive dashboards and web apps, turning unique regulatory markets data into system-wide views across fixed income, commodities, FX and equities helping stakeholders build a detailed understanding firm and sector risks through flow and exposure data * Leading analysis on diverse and stimulating issues, empowering market abuse, policy and supervisory teams to make informed, timely decisions whilst gaining exposure to a broad range of markets and financial products * Supporting colleagues and growing your technical skills to impactful challenges and play a key role in shaping how data are harnessed to monitor and supervise firms and markets ** _Skills required_** **Minimum:** * Demonstrable and advanced data science and engineering experience within a financial markets context, able to design efficient SQL (Redshift) and Python code for complex ETL pipelines and feature engineering * Substantial experience with joining, analysing, manipulating commercial and regulatory data for visualisation (Tableau) and apps * Demonstrable experience in utilising data analytics tools and libraries (Pandas, PySpark, etc) **Essential:** * Understanding of financial markets * Experience in applying machine learning techniques to market data * Experienced in developing user-friendly analytical products, e.g self-service tools, or web applications * Ability to effectively engage with a range of stakeholders ** _Benefits_** * 25 days annual leave plus bank holidays * Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary * Private healthcare with Bupa, income protection, and 24/7 Employee Assistance * 35 hours of paid volunteering annually * Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Changing from September to a minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors) * A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit [our benefits page](https://www.fca.org.uk/careers/experienced-professionals). ** _Our values and culture_** Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. ** _Disability confident: our hiring approach_** We’re proud to be a [Disability Confident Employer](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.gov.uk%2Fgovernment%2Fcollections%2Fdisability-confident-campaign&data=05%7C02%7CStephanie.Corker%40fca.org.uk%7C8055792d0d054cf29cf408ddb7e56815%7C551f9db3821c44578551b43423dce661%7C1%7C0%7C638868918099646424%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=oBu5OPmMia9nIWEI%2Fj9Y2ATUXy%2FkMTQ8bdw8UJzYc%2FY%3D&reserved=0), and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements. ** _Useful information and timelines_** Timeline: * Job advert closing: 21st June at 11:59pm * CV Review/Shortlist: 23rd June * First Interview: w/c 29th June (Please note these interviews will be in-person) * Second Interview: w/c 13th July * Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. **SC Clearance is required for this role** ([SC Guidance](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.gov.uk%2Fgovernment%2Fpublications%2Funited-kingdom-security-vetting-clearance-levels%2Fsc-guidance-pack-for-applicants&data=05%7C02%7CDemi.Scarsella%40fca.org.uk%7C9f3b6e9f0bd2403b467908dcaafda135%7C551f9db3821c44578551b43423dce661%7C1%7C0%7C638573253515600021%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=O4icJrVVef0RCaJA0LmORwcMSk3OpWU%2Bi74JVXscLlc%3D&reserved=0)) - you will hold or will be required to obtain Security Check (SC) level vetting", "summaryDescription" : "Markets Data Scientist at FCA. Skills: Data science, Data engineering, Machine learning, Data visualisation. Lead optimisation of pipelines. Transform records into datasets", "postedDate" : "2026-06-16T03:51:36.016", "createdAt" : "2026-06-16T03:51:36.001", "lastUpdated" : "2026-06-16T13:06:40.770", "ingestTimestamp" : "2026-06-16T03:51:36.001", "mongoId" : "6a305708f292fd229cf32d32", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://fca.wd3.myworkdayjobs.com/FCA_Careers/job/London/Markets-Data-Scientist_JR0021745-1", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data science", "Data engineering", "SQL", "Python", "ETL", "Feature engineering", "Data analysis", "Data visualisation", "Machine learning", "ETL pipelines", "Analytical products", "Financial markets", "Fixed income", "Commodities", "FX", "Equities", "Firm risks", "Sector risks", "Flow data", "Exposure data", "Market abuse", "Regulatory data", "Tableau", "Pandas", "PySpark" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca56974d8ee00a09b634e", "title" : "Stage Graphiste H/F", "company" : "JD Sports France", "industry" : "Retail", "salary" : { "min" : 11000.0, "max" : 13000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Stage Graphiste H/F in Paris, France, with adjustments for the retail industry and internship employment type." }, "location" : "Paris, Paris, France", "locations" : [ "Paris", "Paris", "France" ], "timestamp" : "2026-06-15T05:26:05.480", "fingerprint" : "e45d3fb54a6f3d4a1cc581cf774739b5e365f9c9e709970d728f0333de98c4a8", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.eu.greenhouse.io/jdsportsfr/jobs/4630964101", "externalId" : "4630964101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8588897,2.3200410" } ], "locationText" : "Paris, France", "employmentType" : "INTERNSHIP", "domainKnowledge" : "Street fashion", "domainList" : [ "street-fashion" ], "domainSpecificKnowledge" : [ "Street fashion" ], "innovationCreativity" : "Create innovative content; Propose innovative formats", "workSiteFlexibility" : "Onsite", "rawDescription" : "JD SPORTS, QUI SOMMES-NOUS ? JD Sports c’est le Roi Anglais Incontesté de la Basket ! Avec plus de 3 500 boutiques dans près de 40 pays, nous sommes présents en Europe, aux States, en Asie et ailleurs. Notre mission est de devenir le leader mondial de la street fashion. Aujourd’hui, près de 150 boutiques sont implantées en France et cette ambition ne s’arrête pas là puisque de nombreuses ouvertures de magasin sont attendues chaque anné e. Notre conquête, on la conduit en se reposant sur 5 valeurs : DÉTERMINATION : Nous nous investissons pleinement pour faire évoluer les mentalités et inspirer la jeunesse. Avec détermination, aux côtés de nos équipes, de nos clients et de nos partenaires, nous repoussons les limites et transformons chaque défi en opportunité PASSION : La passion est ce qui nous anime chaque jour, elle est au cœur de notre réussite. Nous croyons qu’une équipe passionnée est la clé pour atteindre l’excellence. FUN : Nous bâtissons une culture vibrante et pleine d’énergie, un espace où chacun peut s’épanouir et grandir. Nous célébrons chaque succès et abordons les défis avec enthousiasme HONNÊTETÉ ET ÉQUITÉ : La culture du feedback est au cœur de nos interactions : elle encourage la transparence et la progression de chacun. En valorisant le dialogue, nous construisons une communauté solidaire et attachée à l’égalité des chances. AMBITION : Portés par l’ambition et une volonté d’expansion rapide, nous progressons sans relâche. Chaque action que nous entreprenons est un pas vers notre objectif de croissance rapide et de réussite Nous recherchons un(e) stagiaire graphiste passionné(e) pour rejoindre notre équipe au sein du département Communication et Marque Employeur. Ce stage offre une opportunité unique d'acquérir une expérience pratique dans le domaine du design graphique et de contribuer à la création de supports visuels de communication internes et externes. En tant que stagiaire graphiste, vous participerez à la création de contenus visuels innovants, tout en assurant la cohérence graphique et le respect des directives visuelles de l’entreprise. Durée du stage : Ce stage est d'une durée de deux mois. Vos missions principales : Suivre les dernières tendances graphiques et numériques pour proposer des formats innovants. Créer des visuels percutants pour les supports de communication internes et externes (affiches, bannières, emailings, etc.). Garantir la cohérence graphique et le respect des directives visuelles de l’entreprise sur tous les supports. Concevoir des éléments visuels interactifs, tels que des infographies, animations simples ou livrets interactifs. Mettre à jour et perfectionner le design de divers supports de communication. Vos atouts : Compétences relationnelles (Soft Skills) : Créativité, curiosité et esprit proactif. Flexibilité et capacité à gérer plusieurs projets en autonomie. Anticipation, organisation et excellente gestion du temps. Aisance relationnelle et capacité à bâtir des partenariats solides. Souci du détail et ouverture d’esprit. Esprit d’équipe. Compétences techniques (Technical Skills) : Maîtrise avancée des logiciels de conception graphique (Photoshop, Illustrator, InDesign, Canva). Connaissance des outils de présentation (PowerPoint et autres) pour moderniser et améliorer les supports stratégiques. Sens aigu du design, créativité et rigueur dans les détails. LE PROFIL : Étudiant(e) en design graphique, arts visuels ou domaine connexe. Passionné(e) par le design graphique, avec la capacité de créer des visuels impactants et originaux. Maîtrise des techniques de conception et des outils graphiques (Photoshop, Illustrator, InDesign, etc.). Créativité, attention aux détails et aptitude à respecter les délais. ALORS, ENVIE DE NOUS REJOINDRE ? À compétences égales, tous nos postes sont ouverts aux personnes en situation de handicap.", "summaryDescription" : "Stage Graphiste H/F at JD Sports France", "postedDate" : "2026-06-13T21:14:32.594", "createdAt" : "2026-06-13T21:14:32.594", "lastUpdated" : "2026-06-15T05:26:05.480", "ingestTimestamp" : "2026-06-13T21:14:32.594", "mongoId" : "6a2ca56974d8ee00a09b634e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Street fashion" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d19ff74d8ee00a0aee827", "title" : "Marketing Effectiveness Manager", "company" : "Betclic Group", "industry" : "Sports & Fitness", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Marketing Effectiveness Manager in Bordeaux, France, adjusted for the Sports & Fitness industry and temporary employment type." }, "location" : "Bordeaux, FR", "locations" : [ "Bordeaux", "FR" ], "timestamp" : "2026-06-15T07:01:18.900", "fingerprint" : "4b9f221199bce8ae7e76920351af34757abd8a2b30752d8cd1f8e9301b298717", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://betclic-group.breezy.hr/p/43f196a3fd5e01-marketing-effectiveness-manager", "externalId" : "43f196a3fd5e01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bordeaux", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "44.8412250,-0.5800364" } ], "locationText" : "Bordeaux, France", "employmentType" : "TEMPORARY", "workSiteFlexibility" : "Onsite", "rawDescription" : "WE ARE BETCLIC \uD83C\uDFAF Betclic, European leader in sports betting, is much more than just an online gaming site! Also offering Poker, Horse Racing, and Casino games across various countries and continents, it is an inspiring and forward-thinking company: every day brings new challenges in a modern and d", "summaryDescription" : "Marketing Effectiveness Manager at Betclic Group", "createdAt" : "2026-06-14T01:37:19.103", "lastUpdated" : "2026-06-15T07:01:18.900", "ingestTimestamp" : "2026-06-14T01:37:19.103", "mongoId" : "6a2d19ff74d8ee00a0aee827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.92 }, { "id" : "6a3052c9f292fd229cf0fd8f", "title" : "2026-7979 Data Scientist-Mid (Midshift)", "company" : "Arch Global Services (Philippines) Inc.", "industry" : "Insurance", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in Taguig, Philippines, adjusted for the insurance industry and company size." }, "location" : "Taguig, Metro Manila, PH", "locations" : [ "Taguig", "Metro Manila", "PH" ], "timestamp" : "2026-06-16T07:59:46.762", "fingerprint" : "78ed0a3af6d982716fe5b7bd437519263df9dd7aff2f349b4a3b644eae9c1b5e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ArchGlobalServicesPhilippinesInc/744000132135039-2026-7979-data-scientist-mid-midshift-", "externalId" : "744000132135039", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taguig", "state" : "Metro Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5270538,121.0744942" } ], "locationText" : "Taguig, Metro Manila, Philippines", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, SQL", "hardSkillsList" : [ "Predictive modeling", "Ad hoc queries", "Data anomalies investigation", "Pattern detection", "Automate recurring tasks" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Ad hoc queries", "level" : "intermediate" }, { "name" : "Data anomalies investigation", "level" : "intermediate" }, { "name" : "Pattern detection", "level" : "intermediate" }, { "name" : "Automate recurring tasks", "level" : "intermediate" } ], "majorSkills" : "Predictive modeling, Data manipulation, Data analysis", "majorSkillsList" : [ "Predictive modeling", "Data manipulation", "Data analysis" ], "coreResponsibilities" : "Build predictive models, Build analytic solutions, Manipulate data, Develop advanced ad hoc queries, Investigate data anomalies, Summarize data for pattern detection, Develop Python or R functions, Develop SQL stored procedures, Automate recurring tasks, Create and maintain documentation, Assist in implementation of models, Assist in testing of models, Develop dashboards in Power BI, Facilitate analyses, Enable model usage, Monitor performance of models, Monitor usage of models", "teamCollaboration" : "Collaborative global team", "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Communicate technical topics", "documentationSkills" : "Create and maintain documentation", "innovationCreativity" : "Develop innovative predictive models", "problemSolvingSkills" : "Tackle complex data challenges", "outcomesObjectives" : "Improve profitability; Improve growth; Improve operational efficiency; Advance predictive modeling capabilities; Enable Arch to make better decisions", "qualificationsBasic" : "3 years predictive modeling experience, Python, R or SQL proficiency, Detail oriented, Organizational skills, Excellent critical thinking skills, Comfortable working in a fast paced and highly collaborative global team, Ability to effectively communicate technical topics to different target audiences", "qualificationsPreferred" : "Experience working in the insurance industry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership. The candidate develops innovative predictive models and analytical tools to improve profitability, growth, and operational efficiency. This position will help support predictive modeling needs across a growing portfolio of high-profile advanced analytics projects with the Strategic Analytics team. As a key member of the team you will also play a role in advancing predictive modeling capabilities, enabling Arch to make better decisions. Responsibilities: * Collaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, GAM and decision trees * Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection * Develop Python or R functions and SQL stored procedures to automate recurring tasks * Create and maintain documentation associated with models * Assist in implementation and testing of models * Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage * Monitor the performance and usage of models ## Qualifications * At least 3 years’ predictive modeling experience in a professional setting, using tools such as Python, R or SQL * The ideal candidate will have experience working in the insurance industry * Detail oriented with strong organizational skills * Excellent critical thinking skills in order to tackle complex data challenges * Comfortable working in a fast paced and highly collaborative global team * Ability to effectively communicate technical topics to different target audiences ## Additional Information * BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent", "summaryDescription" : "2026-7979 Data Scientist-Mid (Midshift) at Arch Global Services (Philippines) Inc.. Skills: Predictive modeling, Data manipulation, Data analysis. Build predictive models. Build analytic solutions", "postedDate" : "2026-06-15T07:54:37.000", "createdAt" : "2026-06-15T21:54:14.852", "lastUpdated" : "2026-06-16T07:59:46.762", "ingestTimestamp" : "2026-06-15T21:54:14.852", "mongoId" : "6a3052c9f292fd229cf0fd8f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Predictive modeling", "Ad hoc queries", "Data anomalies investigation", "Pattern detection", "Automate recurring tasks", "Data manipulation", "Data analysis", "Power BI" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f27f292fd229cee5b11", "title" : "2026-7979 Data Scientist-Mid (Midshift)", "company" : "Arch Global Services", "industry" : "Insurance", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in Taguig, Philippines, adjusted for the insurance industry and full-time employment." }, "location" : "Taguig, Metro Manila, PH", "locations" : [ "Taguig", "Metro Manila", "PH" ], "timestamp" : "2026-06-16T06:41:39.172", "fingerprint" : "3d399558d7c71632deef5f20d30ef4656ad0c19d7d8a002e2a40d51194842dea", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ArchGlobalServicesPhilippinesInc/744000132135039-2026-7979-data-scientist-mid-midshift-", "externalId" : "744000132135039", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taguig", "state" : "Metro Manila", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5270538,121.0744942" } ], "locationText" : "Taguig, Metro Manila, Philippines", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Predictive modeling", "Analytical tools" ], "hardSkillsList" : [ "Data manipulation", "Ad hoc queries", "Pattern detection", "Automate tasks", "Model implementation", "Model testing", "Data analysis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Ad hoc queries", "level" : "intermediate" }, { "name" : "Pattern detection", "level" : "intermediate" }, { "name" : "Automate tasks", "level" : "intermediate" }, { "name" : "Model implementation", "level" : "intermediate" }, { "name" : "Model testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Predictive modeling, Data analysis, SQL, Python", "majorSkillsList" : [ "Predictive modeling", "Data analysis", "SQL", "Python" ], "coreResponsibilities" : "Build predictive models, Build analytic solutions, Manipulate data, Develop ad hoc queries, Investigate data anomalies, Summarize data for pattern detection, Develop Python functions, Develop R functions, Develop SQL stored procedures, Automate recurring tasks, Create documentation, Maintain documentation, Assist in model implementation, Assist in model testing, Develop dashboards in Power BI, Facilitate analyses, Support modeling efforts, Enable model usage, Monitor model performance, Monitor model usage", "teamCollaboration" : "Global team; Collaborative team", "domainKnowledge" : "Insurance industry", "domainList" : [ "insurance-industry" ], "domainSpecificKnowledge" : [ "Insurance industry" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Communicate technical topics", "documentationSkills" : "Documentation associated with models", "innovationCreativity" : "Develop innovative predictive models", "problemSolvingSkills" : "Tackle complex data challenges", "outcomesObjectives" : "Improve profitability; Improve growth; Improve operational efficiency; Advance predictive modeling capabilities; Enable better decisions", "qualificationsBasic" : "3 years predictive modeling experience, Python experience, R experience, SQL experience", "qualificationsPreferred" : "Experience in insurance industry, Detail oriented, Organizational skills, Excellent critical thinking skills, Comfortable working in fast paced team, Comfortable working in highly collaborative team, Comfortable working in global team, Ability to communicate technical topics", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership. The candidate develops innovative predictive models and analytical tools to improve profitability, growth, and operational efficiency. This position will help support predictive modeling needs across a growing portfolio of high-profile advanced analytics projects with the Strategic Analytics team. As a key member of the team you will also play a role in advancing predictive modeling capabilities, enabling Arch to make better decisions. Responsibilities: * Collaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, GAM and decision trees * Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection * Develop Python or R functions and SQL stored procedures to automate recurring tasks * Create and maintain documentation associated with models * Assist in implementation and testing of models * Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage * Monitor the performance and usage of models ## Qualifications * At least 3 years’ predictive modeling experience in a professional setting, using tools such as Python, R or SQL * The ideal candidate will have experience working in the insurance industry * Detail oriented with strong organizational skills * Excellent critical thinking skills in order to tackle complex data challenges * Comfortable working in a fast paced and highly collaborative global team * Ability to effectively communicate technical topics to different target audiences ## Additional Information * BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent", "summaryDescription" : "2026-7979 Data Scientist-Mid (Midshift) at Arch Global Services. Skills: Predictive modeling, Data analysis, SQL, Python. Build predictive models. Build analytic solutions", "postedDate" : "2026-06-15T07:54:37.000", "createdAt" : "2026-06-15T21:31:58.926", "lastUpdated" : "2026-06-16T06:41:39.172", "ingestTimestamp" : "2026-06-15T21:31:58.926", "mongoId" : "6a304f27f292fd229cee5b11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Ad hoc queries", "Pattern detection", "Automate tasks", "Model implementation", "Model testing", "Data analysis", "Critical thinking", "Predictive modeling", "SQL", "Python", "Analytical tools", "Insurance industry", "Power BI" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a35", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T14:26:55.252", "fingerprint" : "6a02c7dbcaae827569f16c7f24b4f0840a6fb8d93e8d3a7a45b1e1ddcf64879c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/432baeb4-065e-4e02-9279-7c984b0ecb2d/application", "externalId" : "432baeb4-065e-4e02-9279-7c984b0ecb2d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinker", "Analytical problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data analysis" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define the right problems, Understand business question, Inform decision making, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell them what is happening, Tell them why, Tell them what next steps should be", "teamCollaboration" : "Embedded in business areas; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Driving insights; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "insurance", "driving-insights", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Driving insights", "Repair marketplace" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communicator; Persuasive communicator; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Drive impact in growth marketing; Drive impact in product development; Drive impact in AI and automation; Drive impact in strategic partnerships; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:31:46.640", "lastUpdated" : "2026-06-16T14:26:55.252", "ingestTimestamp" : "2026-06-16T00:31:46.640", "mongoId" : "6a305930f292fd229cf45a35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data analysis", "Direct communicator", "Owner", "Data Science", "Analytics", "First principles thinker", "Analytical problem solving", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Repair marketplace", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a34", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T09:12:17.057", "fingerprint" : "77cd43936709d339f4079bf2faf6d76843a54ad9fe913e53979245c012454872", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/ae373b1d-425d-4a1b-b91d-e7aca9103208/application", "externalId" : "ae373b1d-425d-4a1b-b91d-e7aca9103208", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metrics definition" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "toolProficiency" : [ "SQL", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator", "problemSolvingSkills" : "First principles thinker", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics", "createdAt" : "2026-06-16T00:31:41.538", "lastUpdated" : "2026-06-16T09:12:17.057", "ingestTimestamp" : "2026-06-16T00:31:41.538", "mongoId" : "6a305930f292fd229cf45a34", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metrics definition", "First principles thinker", "Direct communicator", "Owner", "Data Science", "Analytics", "First principles thinking", "Analytical ability", "SQL", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28f5", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T09:28:19.259", "fingerprint" : "73c53329495a53c49c4a8b2eb13baf4d1a516ee6ee69bdd47dbae8fde2a3409f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/432baeb4-065e-4e02-9279-7c984b0ecb2d/application", "externalId" : "432baeb4-065e-4e02-9279-7c984b0ecb2d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data analysis" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define the right problems, Understand business question, Inform decision making, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move team's key metrics, Bring recommendations to counterparts, Tell them what is happening, Tell them why it is happening, Tell them what next steps should be", "teamCollaboration" : "Embedded in business areas; Work with product counterparts; Work with growth counterparts; Work with finance counterparts; Work with operations counterparts", "domainKnowledge" : "Car insurance; Driving insights; Repair marketplace; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "repair-marketplace", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:04.331", "lastUpdated" : "2026-06-16T09:28:19.259", "ingestTimestamp" : "2026-06-16T00:27:04.331", "mongoId" : "6a305098f292fd229cef28f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data analysis", "Data Science", "Analytics", "First principles thinking", "Analytical problem solving", "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28f4", "title" : "Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T15:08:58.331", "fingerprint" : "8611f42ea1ac2b47ede8f5ecc62b74b31d0e5d6a179f4ede8f2e10269726e343", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/ae373b1d-425d-4a1b-b91d-e7aca9103208/application", "externalId" : "ae373b1d-425d-4a1b-b91d-e7aca9103208", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metrics definition" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator; Influence decisions", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Data Scientist at Jerry.ai. Skills: Data Science, Analytics", "createdAt" : "2026-06-16T00:24:48.701", "lastUpdated" : "2026-06-16T15:08:58.331", "ingestTimestamp" : "2026-06-16T00:24:48.701", "mongoId" : "6a305098f292fd229cef28f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metrics definition", "First principles thinker", "Direct communicator", "Owner", "Data Science", "Analytics", "First principles thinking", "Analytical ability", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306724f292fd229cfb9ac8", "title" : "Data Scientist", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in India, adjusted for the Media industry." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T08:37:15.466", "fingerprint" : "c46e61677bac543d20819ecabf49b31946bb6c3f8a43453fa8b272ca1d77bab4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8592190002", "externalId" : "8592190002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "kenya", "source" : "country_code_strategy", "geo" : "-0.0236,37.9062" } ], "locationText" : "Kenya", "coreResponsibilities" : "Scale chatbot solutions, Provide personalized experiences, Augment experiences with AI", "domainKnowledge" : "Sex health; Mental wellbeing; Livelihoods", "domainList" : [ "sex-health", "mental-wellbeing", "livelihoods" ], "domainSpecificKnowledge" : [ "Sex health", "Mental wellbeing", "Livelihoods" ], "outcomesObjectives" : "Reach 30 million girls by 2030", "rawDescription" : "Who We Are: Girl Effect builds media and tech that adolescent girls in Africa and Asia want, trust, and need. Reaching over 50 million girls, the organization provides safe spaces to access crucial facts about health, education, and relationships, empowering them to redefine what is possible. We operate three chatbots in India, South Africa and Kenya which have reached nearly 3 million users, providing answers at scale to the most pressing questions related to sex health, mental wellbeing and livelihoods, whilst directing users to real world services. In the next 5 years, we intend to scale even further. By 2030, we believe we can reach 30 million girls through our chatbot solutions, providing highly personalised experiences augmented by Artificial Intelligence. The Tech all final shortlisting and hiring decisions are made by human recruiters. Your data is never used to train public AI models, is kept strictly confidential within our secure systems, and is processed in accordance with our full Data Privacy Policy and the GDPR. Application closing date: 29th June 2026", "summaryDescription" : "Data Scientist at Girl Effect. Scale chatbot solutions. Provide personalized experiences", "postedDate" : "2026-06-15T23:26:56.239", "createdAt" : "2026-06-15T23:26:56.239", "lastUpdated" : "2026-06-16T08:37:15.466", "ingestTimestamp" : "2026-06-15T23:26:56.239", "mongoId" : "6a306724f292fd229cfb9ac8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sex health", "Mental wellbeing", "Livelihoods" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.0 }, { "id" : "6a305238f292fd229cf0c1d8", "title" : "Data Scientist", "company" : "Utility Warehouse", "industry" : "Utilities", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in London, UK, adjusted for the Utilities industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T05:17:10.764", "fingerprint" : "e185dfcd50df3a19dad555f0d7f1176543caf825da31468e8dd6af66f3bcbc1b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UtilityWarehouse1/744000132229627-data-scientist-", "externalId" : "744000132229627", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Pandas, Scikit-learn, SQL", "professionalSkills" : [ "Commercial Acumen", "Data storytelling" ], "hardSkillsList" : [ "Predictive Modelling", "Customer Segmentation", "Clustering techniques", "XLTV modelling", "ROI modelling", "A/B testing analysis" ], "hardSkills" : [ { "name" : "Predictive Modelling", "level" : "intermediate" }, { "name" : "Customer Segmentation", "level" : "intermediate" }, { "name" : "Clustering techniques", "level" : "intermediate" }, { "name" : "XLTV modelling", "level" : "intermediate" }, { "name" : "ROI modelling", "level" : "intermediate" }, { "name" : "A/B testing analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Predictive modeling, Customer analytics", "majorSkillsList" : [ "Machine Learning", "Predictive modeling", "Customer analytics" ], "coreResponsibilities" : "Develop predictive engines, Build Next Best Action models, Build Customer Segmentation models, Build Churn Propensity models, Own xLTV modelling, Own ROI modelling, Operationalise insights, Design and deploy ML models, Develop Customer Segmentation, Tailor services and communications, Model long-term customer value, Optimize acquisition and retention spend, Productionise scalable models, Monitor models for drift, Monitor models for performance, Design A/B tests, Validate model effectiveness, Measure commercial uplift, Translate statistical outputs, Provide actionable insights", "teamCollaboration" : "Collaborate with product teams; Collaborate with engineering teams; Collaborate with Data Engineers; Collaborate with Machine Learning Engineers; Stakeholder Partnership", "domainKnowledge" : "Retail; B2C subscription; Utilities environment", "domainList" : [ "retail", "b2c-subscription", "utilities-environment" ], "domainSpecificKnowledge" : [ "Retail", "B2C subscription", "Utilities environment" ], "communicationSkills" : "Data storytelling; Explain 'black box' models", "continuousLearning" : "Learning and development budget", "qualificationsBasic" : "Proven Data Science experience, Expert-level Python, Advanced SQL, ML knowledge (Regression, Classification, Clustering, Time-series), Expertise in Churn and Propensity modeling, Ability to link technical metrics to business KPIs, Data storytelling skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. The challenge For our customers and Partners, UW just needs to work – there when you need it, and invisible when you don’t. Just like flicking a switch. Our proposition to customers is simple, but for our technology teams, the behind-the-scenes complexity is what makes it so interesting. Learn more about life in our Tech teams [here](https://uw.co.uk/about-us/careers/technology). Got your attention? Read on... Are you a driven and curious Data Scientist eager to tackle high-impact business challenges? Join UW's Data team and build predictive engines that directly drive customer strategy. We deliver progress. What you’ll do and how you will make an impact... In this role, you will develop the \"brain\" of our customer interactions through Next Best Action (NBA), Customer Segmentation, and Churn Propensity models. You will also own xLTV and ROI modelling to guide profitable decision-making, working closely with product and engineering teams to operationalise these insights. This isn't a research role. We need a \"full-stack\" data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production-ready models, collaborating closely with our Machine Learning Engineers. Predictive Modelling: * Design and deploy robust ML models to solve business challenges, specifically Churn Propensity and Next Best Action (NBA) engines. Customer Analytics: * Develop advanced Customer Segmentation using clustering techniques to tailor services and communications. Commercial Valuation: * Own xLTV and ROI logic, modeling long-term customer value to optimize acquisition and retention spend. Deployment & Ops: * Collaborate with Data Engineers to productionise scalable models, ensuring continuous monitoring for drift and performance. Experimentation: * Design and analyse A/B tests to validate model effectiveness and measure commercial uplift. Stakeholder Partnership: * Translate complex statistical outputs into actionable insights for Marketing, Product, Commercial and Ops stakeholders. We work together. Your team and the people you will work with… Our Data teams are small, empowered, and cross-functional, taking full ownership of the solutions they build. We adopt the technologies that best support our goals and continuously raise the bar on how we deliver value. UW’s Data team is a highly driven, impact-focused group dedicated to understanding customer behaviour and shaping the company’s strategic decisions. The team applies advanced data science and machine learning to uncover key drivers of customer actions and to build business-critical models including Customer Lifetime Value and Acquisition Cost. ## Qualifications We put people first. It’s all about you... Required Skills and Experience: Experience: * Proven Data Science experience within a retail, B2C subscription or utilities environment. Modelling Expertise: * Strong ML knowledge (Regression, Classification, Clustering, Time-series). Expertise in Churn and Propensity modeling is essential. Tech Stack: * Expert-level Python (pandas, scikit-learn) and advanced SQL for complex feature engineering. Commercial Acumen: * Ability to link technical metrics to business KPIs. Communication: * Strong data storytelling skills to explain \"black box\" models to business leaders. ## Additional Information Why join UW? We have big ambitions, which means plenty of challenges to tackle and solutions for you to build. We’re looking for people who want to roll up their sleeves and get involved. Our benefits: * Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation. * Performance bonus: An annual discretionary bonus ranging from 15-40%. * Flexible working * Work-life balance: We offer an optional four-day working week (90% pay for 90% impact). * Work from anywhere: You can work abroad for up to three weeks, twice every tax year. * Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year. * UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox * Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary). * Family first: Policies designed to help you and your family thrive. * Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership. * Sabbaticals: An eight-week paid sabbatical after four years of service. * Growth: A dedicated learning and development budget and bi-annual promotion cycles. * Inclusion: Join belonging groups that help shape our culture. * Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’. Apply here! You’ve got this far… Hit apply - we can’t wait to hear from you! Worried you don’t meet all the criteria? We welcome applications from diverse and varied backgrounds, so get your application in and let’s chat! Beth Rodgers will be your point of contact throughout the process. Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.", "summaryDescription" : "Data Scientist at Utility Warehouse. Skills: Machine Learning, Predictive modeling, Customer analytics. Develop predictive engines. Build Next Best Action models", "postedDate" : "2026-06-15T15:14:52.000", "createdAt" : "2026-06-15T21:50:31.805", "lastUpdated" : "2026-06-16T05:17:10.764", "ingestTimestamp" : "2026-06-15T21:50:31.805", "mongoId" : "6a305238f292fd229cf0c1d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Predictive Modelling", "Customer Segmentation", "Clustering techniques", "XLTV modelling", "ROI modelling", "A/B testing analysis", "Machine Learning", "Predictive modeling", "Customer analytics", "Commercial Acumen", "Data storytelling", "Retail", "B2C subscription", "Utilities environment" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Utilities", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca56974d8ee00a09b634c", "title" : "Stage chargé de recrutement H/F", "company" : "JD Sports France", "industry" : "Retail", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level internships in the retail industry in Paris, France, adjusted for the specific company and role." }, "location" : "Paris, Paris, France", "locations" : [ "Paris", "Paris", "France" ], "timestamp" : "2026-06-16T01:10:28.475", "fingerprint" : "5c5ada42c6f011fd3a3321d95b449aaeeda212a965e6fb27fef7b30bc40dc1f8", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.eu.greenhouse.io/jdsportsfr/jobs/4795937101", "externalId" : "4795937101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "employmentType" : "INTERNSHIP", "professionalSkills" : [ "Recruitment strategy", "Partner identification", "Relationship management", "Partnership negotiation" ], "hardSkillsList" : [ "CV pre-selection", "Phone screening", "Interview reporting", "Candidate summoning", "Partner outreach", "Partner relations", "Event organization", "Candidate tracking" ], "hardSkills" : [ { "name" : "CV pre-selection", "level" : "intermediate" }, { "name" : "Phone screening", "level" : "intermediate" }, { "name" : "Interview reporting", "level" : "intermediate" }, { "name" : "Candidate summoning", "level" : "intermediate" }, { "name" : "Partner outreach", "level" : "intermediate" }, { "name" : "Partner relations", "level" : "intermediate" }, { "name" : "Event organization", "level" : "intermediate" }, { "name" : "Candidate tracking", "level" : "intermediate" } ], "majorSkills" : "Recruitment, Candidate sourcing, Partner relations", "majorSkillsList" : [ "Recruitment", "Candidate sourcing", "Partner relations" ], "coreResponsibilities" : "Pre-select applications, Pre-qualify candidates by phone, Write interview reports, Summon candidates to recruitment events, Identify strategic recruitment partners, Contact recruitment partners, Present job opportunities, Maintain existing relationships, Optimize partner relationships, Negotiate partnership agreements, Organize recruitment event, Present recruitment strategy, Track partner candidates, Report to recruitment team", "teamCollaboration" : "Recruitment team; Strategic partners", "domainKnowledge" : "Recruitment process; Street fashion", "domainList" : [ "recruitment-process", "street-fashion" ], "domainSpecificKnowledge" : [ "Recruitment process", "Street fashion" ], "communicationSkills" : "Oral expression; Written expression", "documentationSkills" : "Interview reporting", "qualificationsBasic" : "Student in HR, management, or business, Good oral and written expression, Adaptable to dynamic work environment, Familiar with local employment structures, Familiar with recruitment process steps, Teamwork oriented, Positive collaboration, Detail-oriented, Proficient in reporting tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "JD SPORTS, QUI SOMMES-NOUS ? JD Sports c’est le Roi Anglais Incontesté de la Basket ! Avec plus de 3 500 boutiques dans près de 40 pays, nous sommes présents en Europe, aux States, en Asie et ailleurs. Notre mission est de devenir le leader mondial de la street fashion. Aujourd’hui, près de 150 boutiques sont implantées en France et cette ambition ne s’arrête pas là puisque de nombreuses ouvertures de magasin sont attendues chaque anné e. Notre conquête, on la conduit en se reposant sur 5 valeurs : DÉTERMINATION : Nous nous investissons pleinement pour faire évoluer les mentalités et inspirer la jeunesse. Avec détermination, aux côtés de nos équipes, de nos clients et de nos partenaires, nous repoussons les limites et transformons chaque défi en opportunité PASSION : La passion est ce qui nous anime chaque jour, elle est au cœur de notre réussite. Nous croyons qu’une équipe passionnée est la clé pour atteindre l’excellence. FUN : Nous bâtissons une culture vibrante et pleine d’énergie, un espace où chacun peut s’épanouir et grandir. Nous célébrons chaque succès et abordons les défis avec enthousiasme HONNÊTETÉ ET ÉQUITÉ : La culture du feedback est au cœur de nos interactions : elle encourage la transparence et la progression de chacun. En valorisant le dialogue, nous construisons une communauté solidaire et attachée à l’égalité des chances. AMBITION : Portés par l’ambition et une volonté d’expansion rapide, nous progressons sans relâche. Chaque action que nous entreprenons est un pas vers notre objectif de croissance rapide et de réussite TES MISSIONS : Nous recherchons un(e) stagiaire chargé de recrutement H/F de 2 mois pour rejoindre notre équipe au sein de notre service Recrutement. Ce stage offre une opportunité unique d'acquérir une expérience pratique dans la pré-sélection de CV, les entretiens téléphoniques, et de contribuer à la stratégie recrutement 2025 dans un contexte de forte expansion. En tant que stagiaire chargé de recrutement H/F, vous serez responsable de : La pré-sélection de candidatures suite à la diffusion de nos offres La pré qualification téléphonique des candidats dont les CV ont été retenus La rédaction de compte-rendus d'entretiens La convocation à des évènements de recrutement La recherche et l'identification de partenaires stratégiques de recrutement par zone géographique La prise de contact avec ces partenaires et la présentation des opportunités d'emploi que propose notre entreprise Le maintien et l'optimisation des relations existantes La négociation potentielle des accords de partenariats Le soutien dans l'organisation d'un évènement recrutement de présentation de notre stratégie recrutement 2025 à nos partenaires Le suivi des candidats proposés par ces partenaires Le reporting auprès des l'équipe recrutement LE PROFIL : Étudiant(e) en ressources humaines, gestion ou commerce. Passionné(e) par le relationnel et doté d'une très bonne expression orale et écrite Capable de s'adapter à un environnement de travail dynamique et à de multiples relations de travail en simultané. Connaissance des structures d'emploi locales et des étapes d'un processus de recrutement Tourné vers le travail en équipe et la collaboration positive Soucieux du détail et maitrisant les outils de reporting ALORS, ENVIE DE NOUS REJOINDRE ? À compétences égales, tous nos postes sont ouverts aux personnes en situation de handicap.", "summaryDescription" : "Stage chargé de recrutement H/F at JD Sports France. Skills: Recruitment, Candidate sourcing, Partner relations. Pre-select applications. Pre-qualify candidates by phone", "postedDate" : "2026-06-14T19:16:28.193", "createdAt" : "2026-06-14T19:16:28.193", "lastUpdated" : "2026-06-16T01:10:28.475", "ingestTimestamp" : "2026-06-14T19:16:28.193", "mongoId" : "6a2ca56974d8ee00a09b634c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "CV pre-selection", "Phone screening", "Interview reporting", "Candidate summoning", "Partner outreach", "Partner relations", "Event organization", "Candidate tracking", "Recruitment", "Candidate sourcing", "Recruitment strategy", "Partner identification", "Relationship management", "Partnership negotiation", "Recruitment process", "Street fashion" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c706874d8ee00a092a46e", "title" : "Data scientist F/H", "company" : "COVEA", "industry" : "Insurance", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in Paris, France, adjusted for the insurance industry and company size." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-15T08:05:34.035", "fingerprint" : "06351e5c30b8d4c54e686a2856f4179f4f2c84395ae5aa5856458ecbdf606b29", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/COVEA1/744000131912293-data-scientist-f-h", "externalId" : "744000131912293", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "Ile-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, Ile-de-France, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R", "professionalSkills" : [ "Analyse statistique" ], "hardSkillsList" : [ "Modèles prédictifs", "Analyse dynamique" ], "softSkillsList" : [ "Force de proposition", "Esprit collaboratif", "Humilité" ], "hardSkills" : [ { "name" : "Modèles prédictifs", "level" : "intermediate" }, { "name" : "Analyse dynamique", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Force de proposition" }, { "name" : "Esprit collaboratif" }, { "name" : "Humilité" } ], "majorSkills" : "Data science, Analyse prédictive, RH", "majorSkillsList" : [ "Data science", "Analyse prédictive", "RH" ], "coreResponsibilities" : "Exploiter et croiser des données, Développer nouvelles méthodes d’analyse, Proposer et concevoir des modèles prédictifs, Mettre en place des outils d’analyse, Vulgariser vos travaux", "teamCollaboration" : "Équipe à taille humaine; Petite équipe conviviale", "domainKnowledge" : "Données RH; Sciences sociales; Transparence salariale; Rémunération et avantages sociaux", "domainList" : [ "donnees-rh", "sciences-sociales", "transparence-salariale", "remuneration-et-avantages-sociaux" ], "domainSpecificKnowledge" : [ "Données RH", "Sciences sociales", "Transparence salariale", "Rémunération et avantages sociaux" ], "communicationSkills" : "Vulgariser vos travaux", "innovationCreativity" : "Projets innovants", "problemSolvingSkills" : "Aide à la décision", "qualificationsBasic" : "BAC +5, 4/5 years experience, Maîtrise de Python, R", "qualificationsPreferred" : "Idealement sur le travail de données RH, Appétence pour les enjeux RH et sciences sociales", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Covéa est un groupe mutualiste engagé, constitué des marques MAAF, MMA, GMF et du réassureur PartnerRe. Acteur économique majeur des territoires, grâce à ses 24 000 collaborateurs, Covéa protège plus de 11 millions de clients et sociétaires en France. Rejoignez le leader de l’assurance, contribuez à sa réussite : votre talent, notre engagement ! Rejoignez la Direction des Dirigeants, des Cadres Supérieurs et de l’Accompagnement de COVEA, en intégrant une équipe de 4 collaborateurs au sein de la Direction des rémunérations et avantages sociaux. Votre mission ? Au sein d’une équipe à taille humaine, vous contribuerez à faire évoluer nos pratiques en passant d’une approche descriptive d’analyse RH à des modèles prédictifs et dynamiques. Vous participerez à des projets clés tels que la mise en conformité avec la directive sur la transparence salariale et apporterez une aide à la décision sur les politiques de rémunération et d’avantages sociaux RH. Vous serez amené(e) à apporter votre expertise également sur les sujets de Développement des Dirigeants et Cadres Supérieurs. Et concrètement ? * Être force de proposition pour exploiter et croiser des données internes et externes pour enrichir nos analyses. * Développer de nouvelles méthodes d’analyse statistiques adaptées aux enjeux RH. * Proposer et concevoir des modèles prédictifs pour anticiper les tendances. * Mettre en place des outils d’analyse dynamiques pour éclairer les décisions stratégiques. * Vulgariser vos travaux pour les rendre accessibles aux équipes opérationnelles. Covéa s’attache à offrir des parcours professionnels diversifiés. Vous pourrez ainsi avoir l’opportunité d’évoluer, par exemple, vers des métiers de la data ou de stratégie RH. Encore une hésitation sur les atouts de ce poste ? * Participation à des projets innovants en lien avec la transformation RH. * Des opportunités d’évolution vers d’autres métiers. * Un environnement où la coopération et l’esprit d’équipe sont des valeurs clés. * Utilisation de technologies et méthodes avancées pour l’analyse prédictive. * Aide à la décision sur les sujets RH. * Un équilibre entre expertise technique et compréhension humaine des enjeux. ## Qualifications Et si c'était vous ? * Profil Data Scientist , BAC +5 * Expérience de 4/5 ans minimum , idéalement sur le travail de données RH * Maîtrise de Python, R ou équivalent * Appétence pour les enjeux RH et sciences sociales * Force de proposition * Capacité à vulgariser, pédagogie * Esprit collaboratif et humilité : vous aimez travailler dans une petite équipe conviviale.", "summaryDescription" : "Data scientist F/H at COVEA. Skills: Data science, Analyse prédictive, RH. Exploiter et croiser des données. Développer nouvelles méthodes d’analyse", "postedDate" : "2026-06-12T14:10:50.000", "createdAt" : "2026-06-14T03:54:15.804", "lastUpdated" : "2026-06-15T08:05:34.035", "ingestTimestamp" : "2026-06-14T03:54:15.804", "mongoId" : "6a2c706874d8ee00a092a46e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Modèles prédictifs", "Analyse dynamique", "Force de proposition", "Esprit collaboratif", "Humilité", "Data science", "Analyse prédictive", "RH", "Analyse statistique", "Données RH", "Sciences sociales", "Transparence salariale", "Rémunération et avantages sociaux" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc5091", "title" : "Data Scientist", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in India, adjusted for mid-seniority, Gurgaon city tier, and the market research industry." }, "location" : "Gurgaon, HR, IN", "locations" : [ "Gurgaon", "HR", "IN" ], "timestamp" : "2026-06-16T10:54:53.890", "fingerprint" : "1680981ad37995bf9de43470a07be23ea47d5ff33ddff9e70dea8fc3ce28b963", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132165329-data-scientist", "externalId" : "744000132165329", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurgaon", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurgaon, Haryana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, SQL, Machine Learning, Statistical Modeling, Data Analysis, Data Visualization, Cloud Platforms, Big Data Technologies, Spark, Hadoop, Scikit-learn, TensorFlow, PyTorch, Tableau, Power BI, Snowflake, Redshift, BigQuery, AWS, Azure, GCP", "professionalSkills" : [ "Problem Solving", "Analytical Thinking", "Business Acumen" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning algorithms", "Data mining", "Predictive modeling", "A/B testing", "Data wrangling", "Feature engineering" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Statistical Modeling", "majorSkillsList" : [ "Data Science", "Machine Learning", "Statistical Modeling" ], "coreResponsibilities" : "Develop and implement machine learning models, Analyze large datasets to identify trends and insights, Build and maintain data pipelines, Create dashboards and reports for business stakeholders, Collaborate with engineering teams to deploy models, Perform statistical analysis and hypothesis testing, Stay up-to-date with the latest advancements in data", "teamCollaboration" : "Cross-functional teams; Engineering teams; Business stakeholders", "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Snowflake", "Redshift", "BigQuery", "Spark" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document models; Document processes", "continuousLearning" : "Stay up-to-date", "problemSolvingSkills" : "Problem Solving; Analytical Thinking", "qualificationsBasic" : "5+ years of experience in data science, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or R for data analysis and modeling", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud platforms (AWS, Azure, GCP), Experience with big data technologies (Spark, Hadoop), Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI), Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Purpose of the role – mission The Data Scientist role is responsible for designing and leading universe studies, setting up the extrapolation for Retail Panels, discussing and designing rawdata modelling for non-coop retailers, and supporting root-cause analysis in case of client’s complaints when related to these activities. This role requires strong data fluency, analytical skills with the ability to assess data relevance, and a deep understanding of retail panels and their value. Key activities: 1. Universe Studies: • Design and lead universe studies, acting as a “project manager” for these studies. • Document methodologies for transparency and provide clear explanations of selected methods. • Validate the universe estimation. • Conduct impact analysis of universe studies where relevant. 2. Extrapolation: • Design and simulate extrapolation setups for new panels. • In case of major change in the sample of a channel, redesign its extrapolation matrix, conduct impact analysis where relevant. • Support StatOps team in case of minor events (how to select a donor shop for a copy shop or a create shop, how to slightly update the extrapolation in case of e.g. empty cell, discuss quality issues / risks in case of weak / weaker sample). • Assess the compliance of the existing design of extrapolation matrix and eventually recommend improvement (in the design, the sample size = recommend target for recruitment, etc.) • Specify sample checks per country_channel and ensure that they are properly executed by Operation teams. • Jointly with Operation, review the quality of the existing extrapolation and recommend / redesign if necessary (feedback loop from MDQC teams). • Update the Target Sample File every year and in case of significant change in the universe or the sample. 3. Modelling: • Assess the feasibility of non-coop retailer rawdata modelling outside of the system: business interest (in collaboration with Product), availability of data sources, usability of modelling components • Design the solution, test the development, review the quality once implemented, review every year the relevancy of the solution • Once implemented, handover to Operation for ongoing maintenance and execution. • Support Commercial teams and Client Operation to explain the methodology of a Rawdata modelling. 4. Quality and Projects • Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions. • Resolve Level 2 methodology clarification issues. • Support Major Data Change required by a redesign recommended by Data Science (major change in the universe, major redesign of an extrapolation, major redesign of a rawdata modelling): support the definition of the action plan, support the client communication. • Participate to Data Science regional and global projects ## Qualifications Skills and Qualifications: • Strong analytical and problem-solving skills. • Proficiency in statistical modeling and data analysis. • Ability to document and explain complex methodologies clearly. • Familiarity with root cause analysis methods (such as 5_why method) • Excellent communication and organizational skills. • Ability to work independently and as part of a team. • Knowing production processes for PoS • Extensive experience of working in an international environment • Strong quality orientation and solution driven • Strong command of the English language This role is ideal for individuals with a keen eye for detail and a passion for data and data science. If you enjoy working in a dynamic environment and have the skills listed above, we encourage you to apply for the Data Scientist position. ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Scientist at NielsenIQ. Skills: Data Science, Machine Learning, Statistical Modeling. Develop and implement machine learning models. Analyze large datasets to identify trends and insights", "postedDate" : "2026-06-15T10:26:52.000", "createdAt" : "2026-06-16T00:31:27.142", "lastUpdated" : "2026-06-16T10:54:53.890", "ingestTimestamp" : "2026-06-16T00:31:27.142", "mongoId" : "6a3068adf292fd229cfc5091", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning algorithms", "Data mining", "Predictive modeling", "A/B testing", "Data wrangling", "Feature engineering", "Data Science", "Machine Learning", "Statistical Modeling", "Problem Solving", "Analytical Thinking", "Business Acumen", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Snowflake", "Redshift", "BigQuery", "Spark" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305dbff292fd229cf69ed2", "title" : "Data Scientist", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Scientist in India, adjusted for mid-seniority, Gurgaon city tier, and the market research industry." }, "location" : "Gurgaon, HR, IN", "locations" : [ "Gurgaon", "HR", "IN" ], "timestamp" : "2026-06-16T08:52:35.523", "fingerprint" : "9b363540cfac4d9e672bf5c91b849d8163c15cf42ed0031132e61db4b91dc892", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132165329-data-scientist", "externalId" : "744000132165329", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurgaon", "state" : "Haryana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" } ], "locationText" : "Gurgaon, Haryana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, SQL, Machine Learning, Statistical Modeling, Data Analysis, Data Visualization, Cloud Platforms, Big Data Technologies, Spark, Hadoop, Scikit-learn, TensorFlow, PyTorch, Tableau, Power BI, Snowflake, Redshift, BigQuery, AWS, Azure, GCP", "professionalSkills" : [ "Problem Solving", "Analytical Thinking", "Business Acumen" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning algorithms", "Data mining", "Predictive modeling", "A/B testing", "Data wrangling", "Feature engineering" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Statistical Modeling", "majorSkillsList" : [ "Data Science", "Machine Learning", "Statistical Modeling" ], "coreResponsibilities" : "Develop and implement machine learning models, Analyze large datasets to identify trends and insights, Build and maintain data pipelines, Create dashboards and reports for business stakeholders, Collaborate with engineering teams to deploy models, Perform statistical analysis and hypothesis testing, Stay up-to-date with the latest advancements in data", "teamCollaboration" : "Cross-functional teams; Engineering teams; Business stakeholders", "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Snowflake", "Redshift", "BigQuery", "Spark" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document models; Document processes", "continuousLearning" : "Stay up-to-date", "problemSolvingSkills" : "Problem Solving; Analytical Thinking", "qualificationsBasic" : "5+ years of experience in data science, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with Python or R for data analysis and modeling", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud platforms (AWS, Azure, GCP), Experience with big data technologies (Spark, Hadoop), Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI), Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Purpose of the role – mission The Data Scientist role is responsible for designing and leading universe studies, setting up the extrapolation for Retail Panels, discussing and designing rawdata modelling for non-coop retailers, and supporting root-cause analysis in case of client’s complaints when related to these activities. This role requires strong data fluency, analytical skills with the ability to assess data relevance, and a deep understanding of retail panels and their value. Key activities: 1. Universe Studies: • Design and lead universe studies, acting as a “project manager” for these studies. • Document methodologies for transparency and provide clear explanations of selected methods. • Validate the universe estimation. • Conduct impact analysis of universe studies where relevant. 2. Extrapolation: • Design and simulate extrapolation setups for new panels. • In case of major change in the sample of a channel, redesign its extrapolation matrix, conduct impact analysis where relevant. • Support StatOps team in case of minor events (how to select a donor shop for a copy shop or a create shop, how to slightly update the extrapolation in case of e.g. empty cell, discuss quality issues / risks in case of weak / weaker sample). • Assess the compliance of the existing design of extrapolation matrix and eventually recommend improvement (in the design, the sample size = recommend target for recruitment, etc.) • Specify sample checks per country_channel and ensure that they are properly executed by Operation teams. • Jointly with Operation, review the quality of the existing extrapolation and recommend / redesign if necessary (feedback loop from MDQC teams). • Update the Target Sample File every year and in case of significant change in the universe or the sample. 3. Modelling: • Assess the feasibility of non-coop retailer rawdata modelling outside of the system: business interest (in collaboration with Product), availability of data sources, usability of modelling components • Design the solution, test the development, review the quality once implemented, review every year the relevancy of the solution • Once implemented, handover to Operation for ongoing maintenance and execution. • Support Commercial teams and Client Operation to explain the methodology of a Rawdata modelling. 4. Quality and Projects • Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions. • Resolve Level 2 methodology clarification issues. • Support Major Data Change required by a redesign recommended by Data Science (major change in the universe, major redesign of an extrapolation, major redesign of a rawdata modelling): support the definition of the action plan, support the client communication. • Participate to Data Science regional and global projects ## Qualifications Skills and Qualifications: • Strong analytical and problem-solving skills. • Proficiency in statistical modeling and data analysis. • Ability to document and explain complex methodologies clearly. • Familiarity with root cause analysis methods (such as 5_why method) • Excellent communication and organizational skills. • Ability to work independently and as part of a team. • Knowing production processes for PoS • Extensive experience of working in an international environment • Strong quality orientation and solution driven • Strong command of the English language This role is ideal for individuals with a keen eye for detail and a passion for data and data science. If you enjoy working in a dynamic environment and have the skills listed above, we encourage you to apply for the Data Scientist position. ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Scientist at NielsenIQ. Skills: Data Science, Machine Learning, Statistical Modeling. Develop and implement machine learning models. Analyze large datasets to identify trends and insights", "postedDate" : "2026-06-15T10:26:52.000", "createdAt" : "2026-06-16T00:14:48.434", "lastUpdated" : "2026-06-16T08:52:35.523", "ingestTimestamp" : "2026-06-16T00:14:48.434", "mongoId" : "6a305dbff292fd229cf69ed2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning algorithms", "Data mining", "Predictive modeling", "A/B testing", "Data wrangling", "Feature engineering", "Data Science", "Machine Learning", "Statistical Modeling", "Problem Solving", "Analytical Thinking", "Business Acumen", "Scikit-learn", "TensorFlow", "PyTorch", "Tableau", "Power BI", "Snowflake", "Redshift", "BigQuery", "Spark" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307911f292fd229c02ece4", "title" : "Stage - Business Analyst Achats", "company" : "REXEL", "industry" : "Wholesale", "salary" : { "min" : 36000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Business Analyst in Paris, France, adjusted for the retail industry and company size." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T10:54:46.878", "fingerprint" : "189be079df9277af74004b3f0d5469998dc2fa169e6c8909f66ead8e2295e875", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/REXEL1/744000132177532-stage-business-analyst-achats", "externalId" : "744000132177532", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "IDF", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, IDF, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL", "professionalSkills" : [ "Data analysis", "Purchasing analysis" ], "hardSkillsList" : [ "Data quality monitoring", "Profitability analysis", "Supplier performance tracking" ], "softSkillsList" : [ "Analytical thinking", "Synthesis skills", "Rigor", "Business sense" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Profitability analysis", "level" : "intermediate" }, { "name" : "Supplier performance tracking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Synthesis skills" }, { "name" : "Rigor" }, { "name" : "Business sense" } ], "majorSkills" : "Data analysis, Purchasing", "majorSkillsList" : [ "Data analysis", "Purchasing" ], "coreResponsibilities" : "Maintain supplier repository, Measure repository performance, Improve data quality, Communicate progress and results, Perform ad-hoc analyses, Analyze profitability, Track supplier activity", "domainKnowledge" : "Purchasing solutions; Supplier relations; Electrification", "domainList" : [ "purchasing-solutions", "supplier-relations", "electrification" ], "domainSpecificKnowledge" : [ "Purchasing solutions", "Supplier relations", "Electrification" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Progress reporting; Results reporting", "continuousLearning" : "Develop knowledge; Explore new areas", "qualificationsBasic" : "Bac+4/5 minimum, Excellent Excel mastery, Knowledge of SQL, High level English", "qualificationsPreferred" : "Professional experience in data analysis, Professional experience in purchasing, Knowledge of a BI tool", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Rejoignez Rexel et participez à des projets passionnants au sein d’équipes dynamiques et bienveillantes. Société cotée et leader mondial de la distribution professionnelle et multicanale de solutions pour le monde de l’énergie, Rexel est implanté dans 18 pays, avec un chiffre d’affaires de 19,3 milliards d’euros en 2024. Rexel est en effet au cœur d’un immense enjeu de société : celui de la décarbonation par l’électrification. Pour cela, nous fournissons des équipements électriques, services et solutions sur mesure aux professionnels intervenant dans la construction, la rénovation ou la maintenance des bâtiments et infrastructures, ainsi que sur les nouveaux marchés de l’électrification. Notre mission est de proposer à nos clients partout dans le monde des solutions innovantes et durables pour améliorer le confort, la sécurité et la performance énergétique des installations. L’objectif est d’approfondir et accélérer ce mouvement pour nous permettre de saisir les nombreuses opportunités qui se présentent à nous. Dans les 20 ans qui viennent, la part de l’électricité dans la consommation finale d'énergie va doubler. Rexel est idéalement positionné pour bénéficier de cette tendance porteuse et s’engage à mettre son savoir-faire au service de la diffusion du progrès énergétique. Dans ce contexte, notre feuille de route s’articule autour d’axes majeurs sur lesquels nous entendons être leaders : l’accélération de l’électrification, la digitalisation incluant l’intelligence artificielle, la montée en puissance des services, et un fort engagement ESG. Dans le cadre de ce poste, vous interviendrez sur les solutions digitales de la Direction Achats / Relations Fournisseurs qui se décomposent en 2 applications : * Un portail fournisseur utilisé pour le partage d’information et l’analyse de la performance commerciale. * Une application de reporting achats utilisée pour l’analyse de la performance achats des entités Rexel. Vous interviendrez dans un premier temps sur des sujets liés au référentiel fournisseurs qui est commun aux deux solutions mais suivant les besoins, vous pourrez être amené(e) à travailler sur d’autres sujets ; analyse de données et suivi de performance achats en particulier. Vos objectifs seront : * Maintenance du référentiel fournisseur du Groupe, * Mesurer la performance de l’outil de gestion du référentiel, * Travailler sur des pistes d’amélioration du suivi de la qualité des données. * Communiquer régulièrement sur l'avancement et les résultats, * Réalisation d’analyses ponctuelles sur la profitabilité et le suivi de l’activité des fournisseurs. ## Qualifications * Vous êtes diplômé(e) d’un Bac+4/5 minimum, issu d’une école de commerce, d'ingénieur ou d’une université * Une expérience professionnelle dans un domaine similaire (analyse de données et/ou achats) serait un plus * Vous êtes reconnu(e) pour votre esprit analytique et de synthèse, et votre rigueur * Vous avez une excellente maitrise d’Excel et des connaissances sur au moins un outil BI et d’analyses de données (SQL) * Vous avez un très bon niveau en anglais à l’oral et à l’écrit * Vous faites preuve d’un bon sens business et avez une appétence pour le développer * Vous êtes intéressé(e) par les achats ## Additional Information Date de début : septembre 2026 Chez Rexel, nous pensons que notre succès dépend de vous. Nous vous aidons à développer vos connaissances et à explorer de nouveaux domaines au sein de l'entreprise et dans le cadre de votre développement de carrière. Nous sommes conscients de notre responsabilité sociale et nous nous engageons en faveur de l'égalité et de la diversité dans notre environnement de travail. Ensemble, nous pouvons créer un avenir meilleur. Postulez maintenant et profitez de cette opportunité de croissance et de développement.", "summaryDescription" : "Stage - Business Analyst Achats at REXEL. Skills: Data analysis, Purchasing. Maintain supplier repository. Measure repository performance", "postedDate" : "2026-06-15T11:30:26.000", "createdAt" : "2026-06-16T01:37:41.000", "lastUpdated" : "2026-06-16T10:54:46.878", "ingestTimestamp" : "2026-06-16T01:37:41.000", "mongoId" : "6a307911f292fd229c02ece4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Profitability analysis", "Supplier performance tracking", "Analytical thinking", "Synthesis skills", "Rigor", "Business sense", "Data analysis", "Purchasing", "Purchasing analysis", "Purchasing solutions", "Supplier relations", "Electrification", "Excel", "SQL" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.9 }, { "id" : "6a30551ef292fd229cf1de91", "title" : "Stage - Business Analyst Achats", "company" : "REXEL", "industry" : "Wholesale", "salary" : { "min" : 38000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Business Analyst in Paris, France, adjusted for the retail industry and REXEL's company size." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T07:20:47.726", "fingerprint" : "48e92f4343ae7147f9509c1bdad311fdf84fe71a93a9b2ec484b7feb9b2c0e08", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/REXEL1/744000132177532-stage-business-analyst-achats", "externalId" : "744000132177532", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "IDF", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, IDF, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL", "professionalSkills" : [ "Data analysis", "Purchasing analysis" ], "hardSkillsList" : [ "Data analysis", "Purchasing analysis" ], "softSkillsList" : [ "Analytical thinking", "Synthesis skills", "Rigor", "Business acumen" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Purchasing analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Synthesis skills" }, { "name" : "Rigor" }, { "name" : "Business acumen" } ], "majorSkills" : "Data analysis, Purchasing analysis", "majorSkillsList" : [ "Data analysis", "Purchasing analysis" ], "coreResponsibilities" : "Maintain Group supplier repository, Measure repository performance, Improve data quality tracking, Communicate progress and results, Perform ad-hoc analyses on profitability, Monitor supplier activity", "domainKnowledge" : "Purchasing; Supplier relations; Data quality", "domainList" : [ "purchasing", "supplier-relations", "data-quality" ], "domainSpecificKnowledge" : [ "Purchasing", "Supplier relations", "Data quality" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Communicate progress", "problemSolvingSkills" : "Data analysis; Purchasing analysis", "outcomesObjectives" : "Improve data quality tracking", "qualificationsBasic" : "Bac+4/5 minimum, Excellent Excel mastery, Knowledge of SQL, High level English", "qualificationsPreferred" : "Professional experience in data analysis, Professional experience in purchasing, Knowledge of at least one BI tool", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Rejoignez Rexel et participez à des projets passionnants au sein d’équipes dynamiques et bienveillantes. Société cotée et leader mondial de la distribution professionnelle et multicanale de solutions pour le monde de l’énergie, Rexel est implanté dans 18 pays, avec un chiffre d’affaires de 19,3 milliards d’euros en 2024. Rexel est en effet au cœur d’un immense enjeu de société : celui de la décarbonation par l’électrification. Pour cela, nous fournissons des équipements électriques, services et solutions sur mesure aux professionnels intervenant dans la construction, la rénovation ou la maintenance des bâtiments et infrastructures, ainsi que sur les nouveaux marchés de l’électrification. Notre mission est de proposer à nos clients partout dans le monde des solutions innovantes et durables pour améliorer le confort, la sécurité et la performance énergétique des installations. L’objectif est d’approfondir et accélérer ce mouvement pour nous permettre de saisir les nombreuses opportunités qui se présentent à nous. Dans les 20 ans qui viennent, la part de l’électricité dans la consommation finale d'énergie va doubler. Rexel est idéalement positionné pour bénéficier de cette tendance porteuse et s’engage à mettre son savoir-faire au service de la diffusion du progrès énergétique. Dans ce contexte, notre feuille de route s’articule autour d’axes majeurs sur lesquels nous entendons être leaders : l’accélération de l’électrification, la digitalisation incluant l’intelligence artificielle, la montée en puissance des services, et un fort engagement ESG. Dans le cadre de ce poste, vous interviendrez sur les solutions digitales de la Direction Achats / Relations Fournisseurs qui se décomposent en 2 applications : * Un portail fournisseur utilisé pour le partage d’information et l’analyse de la performance commerciale. * Une application de reporting achats utilisée pour l’analyse de la performance achats des entités Rexel. Vous interviendrez dans un premier temps sur des sujets liés au référentiel fournisseurs qui est commun aux deux solutions mais suivant les besoins, vous pourrez être amené(e) à travailler sur d’autres sujets ; analyse de données et suivi de performance achats en particulier. Vos objectifs seront : * Maintenance du référentiel fournisseur du Groupe, * Mesurer la performance de l’outil de gestion du référentiel, * Travailler sur des pistes d’amélioration du suivi de la qualité des données. * Communiquer régulièrement sur l'avancement et les résultats, * Réalisation d’analyses ponctuelles sur la profitabilité et le suivi de l’activité des fournisseurs. ## Qualifications * Vous êtes diplômé(e) d’un Bac+4/5 minimum, issu d’une école de commerce, d'ingénieur ou d’une université * Une expérience professionnelle dans un domaine similaire (analyse de données et/ou achats) serait un plus * Vous êtes reconnu(e) pour votre esprit analytique et de synthèse, et votre rigueur * Vous avez une excellente maitrise d’Excel et des connaissances sur au moins un outil BI et d’analyses de données (SQL) * Vous avez un très bon niveau en anglais à l’oral et à l’écrit * Vous faites preuve d’un bon sens business et avez une appétence pour le développer * Vous êtes intéressé(e) par les achats ## Additional Information Date de début : septembre 2026 Chez Rexel, nous pensons que notre succès dépend de vous. Nous vous aidons à développer vos connaissances et à explorer de nouveaux domaines au sein de l'entreprise et dans le cadre de votre développement de carrière. Nous sommes conscients de notre responsabilité sociale et nous nous engageons en faveur de l'égalité et de la diversité dans notre environnement de travail. Ensemble, nous pouvons créer un avenir meilleur. Postulez maintenant et profitez de cette opportunité de croissance et de développement.", "summaryDescription" : "Stage - Business Analyst Achats at REXEL. Skills: Data analysis, Purchasing analysis. Maintain Group supplier repository. Measure repository performance", "postedDate" : "2026-06-15T11:30:26.000", "createdAt" : "2026-06-15T23:43:29.903", "lastUpdated" : "2026-06-16T07:20:47.726", "ingestTimestamp" : "2026-06-15T23:43:29.903", "mongoId" : "6a30551ef292fd229cf1de91", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Purchasing analysis", "Analytical thinking", "Synthesis skills", "Rigor", "Business acumen", "Purchasing", "Supplier relations", "Data quality", "Excel", "SQL" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.92 }, { "id" : "6a304f7cf292fd229cee7edf", "title" : "Product Owner Data H/F", "company" : "NEXTON", "industry" : "Information Technology And Services", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Owner in the Technology industry in Paris, France, adjusted for seniority and company size." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T03:08:24.406", "fingerprint" : "d94a326f448baff172508fc2de12b2a1255b3fe7fab03e25059c971d85eb9aa1", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/NEXTON/744000132203640-product-owner-data-h-f", "externalId" : "744000132203640", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "IDF", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, IDF, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AWS, API", "professionalSkills" : [ "Product strategy", "Roadmap management", "Business analysis", "Data analysis", "Performance metrics" ], "hardSkillsList" : [ "Data quality", "Infrastructure management" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Infrastructure management", "level" : "intermediate" } ], "majorSkills" : "Product Ownership, Data Platform, AWS Infrastructure", "majorSkillsList" : [ "Product Ownership", "Data Platform", "AWS Infrastructure" ], "coreResponsibilities" : "Ensure projects align with strategic objectives, Develop and manage product strategy, Define and manage product roadmap, Identify AI opportunities, Gather business needs, Manage product lifecycle, Ensure product development, Plan future versions, Define value creation KPIs, Track product performance metrics, Analyze data for improvements", "teamCollaboration" : "Cross-functional teams; Development team", "projectManagementSkills" : [ "Agile", "Product lifecycle management" ], "domainKnowledge" : "Data quality; AWS infrastructure; Generative AI", "domainList" : [ "data-quality", "aws-infrastructure", "generative-ai" ], "domainSpecificKnowledge" : [ "Data quality", "AWS infrastructure", "Generative AI" ], "communicationSkills" : "Stakeholder communication; Adaptable communication", "continuousLearning" : "Meet Ups; Training", "innovationCreativity" : "AI application", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Maximize product value; Ensure product meets user needs; Align product with business goals", "qualificationsBasic" : "5+ years Product Owner, Degree in computer science, Degree in software engineering, Degree in data engineering, Equivalent experience, Experience with Azure generative AI APIs, Experience writing automated tests, Excellent communication skills, Comfortable with UX/UI concepts, Good understanding of technical issues, User-centric approach, Data-driven approach, Mastery of prioritization frameworks, Proactive and autonomous work, Team spirit", "qualificationsPreferred" : "Appetite for technical aspects, Experience with AWS infrastructure", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Qui sommes-nous ? Rejoindre NEXTON, c'est intégrer une entreprise où convergent l'esprit d'un cabinet de conseil, la créativité d'une Factory et la dynamique d'une ESN ! Grâce à notre expertise, nous accompagnons des clients grands comptes et des pure players tels que SNCF, Orange, et BNP Paribas dans leurs stratégies d'évolution et d'innovation digitale. Fondée en 2011, NEXTON réunit aujourd'hui une équipe de plus de 450 experts spécialisés dans le digital, le design, l'agilité, le produit et le développement. Ensemble, ils créent un écosystème riche en connaissances et en compétences diversifiées. NEXTON recrute un Product Owner Data H/F , en CDI , à Paris ! Ton futur environnement de travail : Nous recherchons un consultant Product Owner expérimenté avec une appétence pour les aspects techniques pour piloter des projets techniques en qualité des données et en infrastructure AWS. Ces projets ont pour objectif de garantir la fiabilité des traitements critiques des données et de faire évoluer la plateforme Data d'un groupe international à travers ses territoires : Europe (France, Pologne, Suisse, etc.), Afrique et Asie (Vietnam, …). Tes missions : En tant que Product Owner, tu es responsable de maximiser la valeur du produit. Au cœur de sa conception et de son évolution, tu garantis que le produit répond aux attentes des utilisateurs tout en s'alignant avec les objectifs business. Voici tes principales missions : * Veiller à ce que les projets soient alignés avec les objectifs stratégiques de l’entreprise * Développer et piloter la stratégie globale de plusieurs produits * Bonne compréhension des problématiques business * Définir et gérer la roadmap produit * Identifier les opportunités d’application de l’IA pour résoudre les problématiques business * Recueillir et synthétiser les besoins des métiers * Maîtriser la gestion de produits sur tout leur cycle de vie (Discovery, Delivery, Run) * Veiller au bon développement des produits et à la planification de futures versions * Définir les KPIs pour estimer la création de valeur * Suivre les métriques de performance du produit et analyser les données pour identifier les opportunités d’amélioration. ## Qualifications Tu justifies d’un minimum d’expérience de 5 ans en tant que Product Owner. Diplôme en informatique, en génie logiciel, en ingénierie des données ou dans un domaine connexe (ou expérience équivalente). Tu as une première expérience sur les API d’IA générative d’Azure et en en écriture de tests automatisés Tu as une excellente capacité à communiquer avec toutes les parties prenantes et l’équipe de développement, en adaptant ton discours à ton interlocuteur. Tu es à l’aise avec les concepts UX/UI et as une bonne compréhension des problématiques techniques (architecture, API). Centré sur les utilisateurs, tu es en relation constante avec eux pour toujours aligner le produit avec leurs besoins. Tu adoptes une approche data-driven : tu possèdes de fortes compétences analytiques et prends des décisions basées sur des données concrètes. Tu maîtrises les frameworks de priorisation et sais les manier avec expertise pour maximiser la valeur délivrée. Tu es capable de travailler de manière proactive et autonome tout en maintenant un esprit d’équipe. ## Additional Information Pourquoi choisir NEXTON ? Nous te proposons des avantages et des opportunités pour enrichir ton expérience professionnelle et personnelle tout au long de l'année : ▶ Des communautés dynamiques pour t'accompagner dans ton parcours. ▶ Des Meet Up pour développer tes compétences. ▶ Des formations pour te réinventer et progresser. ▶ Des événements sportifs et festifs pour t'épanouir. ▶ Un forfait mobilité durable pour faciliter ton quotidien et encourager la mobilité douce. ▶ Un téléphone de dernière génération pour rester connecté. Prêt à nous rejoindre ? Rencontrons-nous ! NEXTON", "summaryDescription" : "Product Owner Data H/F at NEXTON. Skills: Product Ownership, Data Platform, AWS Infrastructure. Ensure projects align with strategic objectives. Develop and manage product strategy", "postedDate" : "2026-06-15T13:33:56.000", "createdAt" : "2026-06-15T21:43:38.556", "lastUpdated" : "2026-06-16T03:08:24.406", "ingestTimestamp" : "2026-06-15T21:43:38.556", "mongoId" : "6a304f7cf292fd229cee7edf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality", "Infrastructure management", "Product Ownership", "Data Platform", "AWS Infrastructure", "Product strategy", "Roadmap management", "Business analysis", "Data analysis", "Performance metrics", "Agile", "Product lifecycle management", "AWS infrastructure", "Generative AI" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3064adf292fd229cfa2631", "title" : "Data Analyst Confirmé H/F", "company" : "Inetum", "industry" : "Information Technology And Services", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Rennes, France, adjusted for the technology industry and senior experience level." }, "location" : "Rennes, Brittany, France", "locations" : [ "Rennes", "Brittany", "France" ], "timestamp" : "2026-06-16T10:43:26.150", "fingerprint" : "4acbea806e3ab7e5adb275889b847019b494133cc388d93e0f6840d042525b7a", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Inetum2/744000132193529-data-analyst-confirme-h-f", "externalId" : "744000132193529", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rennes", "state" : "Brittany", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1113387,-1.6800198" } ], "locationText" : "Rennes, Brittany, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceLevel" : "not-applicable", "technicalSkills" : "Python, SQL, Big Data", "professionalSkills" : [ "Data analysis", "Data interpretation", "Functional specifications", "Technical specifications", "Project management", "Agile methodologies", "SAFe methodologies", "ITIL processes", "Incident management", "Problem management" ], "hardSkillsList" : [ "Data visualization", "Big Data environments", "ITIL", "Agile", "SAFe" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Big Data environments", "level" : "intermediate" }, { "name" : "ITIL", "level" : "intermediate" }, { "name" : "Agile", "level" : "intermediate" }, { "name" : "SAFe", "level" : "intermediate" } ], "majorSkills" : "Data Analysis, Big Data, Agile, Data Visualization", "majorSkillsList" : [ "Data Analysis", "Big Data", "Agile", "Data Visualization" ], "coreResponsibilities" : "Analyze and interpret complex data, Provide relevant insights, Provide strategic recommendations, Define functional specifications, Define technical specifications, Collaborate with development teams, Collaborate with stakeholders, Ensure understanding of needs, Ensure quality of deliverables, Manage projects, Follow ITIL processes, Manage incidents, Manage problems, Create reports, Create dashboards, Supervise Big Data environments, Optimize performance", "teamCollaboration" : "Development teams; Stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Agile", "SAFe", "Jira", "Confluence", "Sciforma" ], "domainKnowledge" : "Digital transformation; Business processes", "domainList" : [ "digital-transformation", "business-processes" ], "domainSpecificKnowledge" : [ "Digital transformation", "Business processes" ], "toolProficiency" : [ "Power BI", "Tableau", "Jira", "Confluence", "Office 365", "Teams" ], "communicationSkills" : "Client communication", "continuousLearning" : "Professional development; Continuous training", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "Bac+4 / Bac+5 in IT, Minimum 4 years experience, Significant experience in Big Data environments, Agile / SAFe environment experience, ITIL processes mastery, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Supervision tools knowledge, SAFe framework knowledge, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Inetum est un leader européen des services numériques. Pour les entreprises, les acteurs publics et la société dans son ensemble, les 28 000 consultants et spécialistes du groupe visent chaque jour l'impact digital : des solutions qui contribuent à la performance, à l'innovation et au bien commun. Présent dans 19 pays au plus près des territoires, et avec ses grands partenaires éditeurs de logiciels, Inetum répond aux enjeux de la transformation digitale avec proximité et flexibilité. Porté par son ambition de croissance et d'industrialisation, Inetum a généré en 2023 un chiffre d'affaires de 2,5 milliards d'€. Pour répondre à un marché en croissance continue depuis plus de 30 ans, Inetum a fait le choix délibéré de se recentrer sur 4 métiers afin de gagner en puissance et proposer des solutions sur mesure, adaptées aux besoins spécifiques de ses clients : le conseil (Inetum Consulting), la gestion des infrastructures et applications à façon (Inetum Technologies), l'implémentation de progiciels (Inetum Solutions) et sa propre activité d'éditeur de logiciels (Inetum Software). Inetum a conclu des partenariats stratégiques avec 4 grands éditeurs mondiaux - Salesforce, ServiceNow, Microsoft et SAP et poursuit une stratégie d'acquisitions dédiée afin d'entrer dans le top 5 européen sur ces technologies et proposer la meilleure expertise à ses clients. Tous nos postes sont ouverts aux personnes en situation de handicap. Nous recherchons un Data Analyst talentueux et expérimenté pour rejoindre notre équipe dynamique à Rennes. Vous travaillerez pour l'un de nos clients prestigieux, en contribuant à la transformation digitale et à l'optimisation des processus métiers grâce à des solutions innovantes et adaptées. Responsabilités : * Analyser et interpréter des données complexes pour fournir des insights pertinents et des recommandations stratégiques. * Participer à la définition des spécifications fonctionnelles et techniques des projets de data. * Collaborer étroitement avec les équipes de développement et les parties prenantes pour assurer la bonne compréhension des besoins et la qualité des livrables. * Assurer le suivi et la gestion des projets en utilisant des méthodologies Agile / SAFe. * Contribuer à la mise en place et à l'amélioration des processus ITIL, notamment la gestion des incidents et des problèmes (GDI, GDP). * Utiliser des outils de Data Visualisation (Power BI, Tableau ou équivalent) pour créer des rapports et des tableaux de bord pertinents. * Participer à la supervision des environnements Big Data et à l'optimisation des performances. * Utiliser des outils collaboratifs et de pilotage tels que Jira, Confluence, Sciforma, Office 365 et Teams pour assurer une communication fluide et une gestion efficace des projets. ## Qualifications Profil recherché : * Formation supérieure de type Bac+4 / Bac+5 en informatique ou domaine équivalent. * Minimum 4 ans d’expérience en développement, avec une expérience significative dans des environnements Big Data. * Capacité avérée à évoluer dans un environnement Agile / SAFe. * Connaissance des outils de supervision. * Maîtrise des processus ITIL (gestion des incidents / problèmes – GDI, GDP). * Connaissance du framework SAFe. * Maîtrise d’outils de Data Visualisation (Power BI, Tableau ou équivalent). * Connaissance des langages de programmation et de requêtage (Python, SQL, …). * Utilisation des outils collaboratifs et de pilotage : Jira, Confluence, Sciforma, Office 365, Teams. Compétences personnelles : * Excellentes capacités d'analyse et de résolution de problèmes. * Bonnes compétences en communication et en relationnel. * Capacité à travailler en équipe et à collaborer avec des parties prenantes variées. * Autonomie, rigueur et sens de l'organisation. Pourquoi nous rejoindre ? * Opportunité de travailler sur des projets innovants et stimulants. * Environnement de travail collaboratif et dynamique. * Possibilités de développement professionnel et de formation continue. * Avantages sociaux attractifs.", "summaryDescription" : "Data Analyst Confirmé H/F at Inetum. Skills: Data Analysis, Big Data, Agile, Data Visualization. Analyze and interpret complex data. Provide relevant insights", "postedDate" : "2026-06-15T12:46:51.000", "createdAt" : "2026-06-16T00:21:47.117", "lastUpdated" : "2026-06-16T10:43:26.150", "ingestTimestamp" : "2026-06-16T00:21:47.117", "mongoId" : "6a3064adf292fd229cfa2631", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Big Data environments", "ITIL", "Agile", "SAFe", "Data Analysis", "Big Data", "Data Visualization", "Data analysis", "Data interpretation", "Functional specifications", "Technical specifications", "Project management", "Agile methodologies", "SAFe methodologies", "ITIL processes", "Incident management", "Problem management", "Jira", "Confluence", "Sciforma", "Digital transformation", "Business processes", "Power BI", "Tableau", "Office 365", "Teams" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306853f292fd229cfc356c", "title" : "Data Analyst Confirmé H/F", "company" : "Inetum", "industry" : "Information Technology And Services", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Rennes, France, adjusted for the technology industry and senior experience level." }, "location" : "Rennes, Brittany, France", "locations" : [ "Rennes", "Brittany", "France" ], "timestamp" : "2026-06-16T09:35:56.240", "fingerprint" : "b787831a03d697e8ed443a1449bf279ed99ee6553c1022bf6ffb90cfde7bc185", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Inetum2/744000132193529-data-analyst-confirme-h-f", "externalId" : "744000132193529", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rennes", "state" : "Brittany", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1113387,-1.6800198" } ], "locationText" : "Rennes, Brittany, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceLevel" : "not-applicable", "technicalSkills" : "Python, SQL, Big Data", "professionalSkills" : [ "Data analysis", "Data interpretation", "Functional specifications", "Technical specifications", "Project management" ], "hardSkillsList" : [ "Data visualization", "ITIL processes", "Agile methodologies", "SAFe methodologies" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ITIL processes", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" }, { "name" : "SAFe methodologies", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Big Data, Data visualization", "majorSkillsList" : [ "Data analysis", "Big Data", "Data visualization" ], "coreResponsibilities" : "Analyze and interpret complex data, Provide relevant insights, Provide strategic recommendations, Define functional specifications, Define technical specifications, Collaborate with development teams, Collaborate with stakeholders, Ensure understanding of needs, Ensure quality of deliverables, Manage projects, Follow ITIL processes, Manage incidents, Manage problems, Create reports, Create dashboards, Supervise Big Data environments, Optimize performance", "teamCollaboration" : "Cross-functional teams; Stakeholder collaboration", "projectManagementSkills" : [ "Agile", "SAFe" ], "domainKnowledge" : "Digital transformation; Business processes", "domainList" : [ "digital-transformation", "business-processes" ], "domainSpecificKnowledge" : [ "Digital transformation", "Business processes" ], "toolProficiency" : [ "Power BI", "Tableau", "Jira", "Confluence", "Office 365", "Teams" ], "continuousLearning" : "Professional development; Continuous training", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "Bac+4 / Bac+5 in IT, Minimum 4 years experience, Significant experience in Big Data environments, Agile / SAFe environment experience, ITIL processes mastery, SQL proficiency, Python proficiency", "qualificationsPreferred" : "Supervision tools knowledge, SAFe framework knowledge, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Inetum est un leader européen des services numériques. Pour les entreprises, les acteurs publics et la société dans son ensemble, les 28 000 consultants et spécialistes du groupe visent chaque jour l'impact digital : des solutions qui contribuent à la performance, à l'innovation et au bien commun. Présent dans 19 pays au plus près des territoires, et avec ses grands partenaires éditeurs de logiciels, Inetum répond aux enjeux de la transformation digitale avec proximité et flexibilité. Porté par son ambition de croissance et d'industrialisation, Inetum a généré en 2023 un chiffre d'affaires de 2,5 milliards d'€. Pour répondre à un marché en croissance continue depuis plus de 30 ans, Inetum a fait le choix délibéré de se recentrer sur 4 métiers afin de gagner en puissance et proposer des solutions sur mesure, adaptées aux besoins spécifiques de ses clients : le conseil (Inetum Consulting), la gestion des infrastructures et applications à façon (Inetum Technologies), l'implémentation de progiciels (Inetum Solutions) et sa propre activité d'éditeur de logiciels (Inetum Software). Inetum a conclu des partenariats stratégiques avec 4 grands éditeurs mondiaux - Salesforce, ServiceNow, Microsoft et SAP et poursuit une stratégie d'acquisitions dédiée afin d'entrer dans le top 5 européen sur ces technologies et proposer la meilleure expertise à ses clients. Tous nos postes sont ouverts aux personnes en situation de handicap. Nous recherchons un Data Analyst talentueux et expérimenté pour rejoindre notre équipe dynamique à Rennes. Vous travaillerez pour l'un de nos clients prestigieux, en contribuant à la transformation digitale et à l'optimisation des processus métiers grâce à des solutions innovantes et adaptées. Responsabilités : * Analyser et interpréter des données complexes pour fournir des insights pertinents et des recommandations stratégiques. * Participer à la définition des spécifications fonctionnelles et techniques des projets de data. * Collaborer étroitement avec les équipes de développement et les parties prenantes pour assurer la bonne compréhension des besoins et la qualité des livrables. * Assurer le suivi et la gestion des projets en utilisant des méthodologies Agile / SAFe. * Contribuer à la mise en place et à l'amélioration des processus ITIL, notamment la gestion des incidents et des problèmes (GDI, GDP). * Utiliser des outils de Data Visualisation (Power BI, Tableau ou équivalent) pour créer des rapports et des tableaux de bord pertinents. * Participer à la supervision des environnements Big Data et à l'optimisation des performances. * Utiliser des outils collaboratifs et de pilotage tels que Jira, Confluence, Sciforma, Office 365 et Teams pour assurer une communication fluide et une gestion efficace des projets. ## Qualifications Profil recherché : * Formation supérieure de type Bac+4 / Bac+5 en informatique ou domaine équivalent. * Minimum 4 ans d’expérience en développement, avec une expérience significative dans des environnements Big Data. * Capacité avérée à évoluer dans un environnement Agile / SAFe. * Connaissance des outils de supervision. * Maîtrise des processus ITIL (gestion des incidents / problèmes – GDI, GDP). * Connaissance du framework SAFe. * Maîtrise d’outils de Data Visualisation (Power BI, Tableau ou équivalent). * Connaissance des langages de programmation et de requêtage (Python, SQL, …). * Utilisation des outils collaboratifs et de pilotage : Jira, Confluence, Sciforma, Office 365, Teams. Compétences personnelles : * Excellentes capacités d'analyse et de résolution de problèmes. * Bonnes compétences en communication et en relationnel. * Capacité à travailler en équipe et à collaborer avec des parties prenantes variées. * Autonomie, rigueur et sens de l'organisation. Pourquoi nous rejoindre ? * Opportunité de travailler sur des projets innovants et stimulants. * Environnement de travail collaboratif et dynamique. * Possibilités de développement professionnel et de formation continue. * Avantages sociaux attractifs.", "summaryDescription" : "Data Analyst Confirmé H/F at Inetum. Skills: Data analysis, Big Data, Data visualization. Analyze and interpret complex data. Provide relevant insights", "postedDate" : "2026-06-15T12:46:51.000", "createdAt" : "2026-06-16T00:11:10.145", "lastUpdated" : "2026-06-16T09:35:56.240", "ingestTimestamp" : "2026-06-16T00:11:10.145", "mongoId" : "6a306853f292fd229cfc356c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data visualization", "ITIL processes", "Agile methodologies", "SAFe methodologies", "Data analysis", "Big Data", "Data interpretation", "Functional specifications", "Technical specifications", "Project management", "Agile", "SAFe", "Digital transformation", "Business processes", "Power BI", "Tableau", "Jira", "Confluence", "Office 365", "Teams" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30985ff292fd229c0e4385", "title" : "Senior Data Scientist", "company" : "DoorDash", "industry" : "Logistics", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Melbourne, Australia, adjusted for seniority and technology industry." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-16T12:39:56.606", "fingerprint" : "6809a563b97e20bb66559ca9e59dbd18fb5566691575a5cf19e403d703de29eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/doordashaustralia/jobs/7993751", "externalId" : "7993751", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-37.8142454,144.9631732" }, { "country" : "New Zealand", "continent" : "oc", "workMode" : "onsite" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" }, { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Melbourne, Victoria, Australia; New Zealand; United States; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions" ], "hardSkillsList" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Experimentation techniques", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics, Business Intelligence", "majorSkillsList" : [ "Data Science", "Analytics", "Business Intelligence" ], "coreResponsibilities" : "Provide insights to understand marketplace dynamics, Provide insights to understand user behaviours, Provide insights to understand long-term trends, Use quantitative analysis, Present data, Build full-cycle analytics experiments, Build reports, Build dashboards, Identify levers to move metrics, Measure levers to move metrics, Make recommendations, Understand and size problems, Ideate solutions, Produce recommendations, Use statistical techniques, Use hypothesis testing, Use experimentation techniques, Validate findings", "teamCollaboration" : "Strategy & Operations teams; Executive Leadership Team; Cross-functional team; Strategy, operations, product, finance and engineering", "projectManagementSkills" : [ "Strategic projects" ], "domainKnowledge" : "Three-sided marketplace; Marketplace dynamics; User behaviours; Long-term trends", "domainList" : [ "three-sided-marketplace", "marketplace-dynamics", "user-behaviours", "long-term-trends" ], "domainSpecificKnowledge" : [ "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "problemSolvingSkills" : "Ambiguous problems; Structured problem solving; Hypothesis-driven problem solving; Data-supported problem solving", "outcomesObjectives" : "Drive growth; Drive operational excellence", "qualificationsBasic" : "6+ years of experience, Degree in Math, Physics, Statistics, Economics, Computer Science, or similar, Very experienced with SQL queries, Basic ETL, Regression techniques, Proficiency in Python or R, Experience with experimentation techniques, Experience with A/B testing, Experience with Causal Inference, Experience interpreting hypothesis testing", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Team DoorDash is a complex and constantly evolving business; The global BizOps team is primarily responsible for crafting the story about business performance (what’s happening, why is it happening, what we should do about it), diving deep on key KPI trends, and surfacing insights and recommendations to stakeholders to ensure we understand our current business climate and react in a data-informed manner. About the Role You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—understanding what is happening, why it is happening, and what actions should be taken next. You will focus on the ANZ markets, helping to drive strategic initiatives across the region. You will adapt and apply best practices from the US business to local market dynamics while providing data-driven recommendations that inform business decisions. DoorDash operates a three-sided marketplace comprising Consumers, Merchants, and Dashers. In this role, you will work across all three groups to identify opportunities, solve complex business challenges, and drive growth and operational excellence. This is a hybrid role, with 3 days in-office and 2 days remote. You're excited about this opportunity because you will… Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings. We're excited about you because you have… 6+ years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Experience leading /owning strategic projects to completion with multiple cross-functional teams Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs Very experienced with SQL queries, Basic ETL, Regression techniques Proficiency in at least one programming language, preferably Python or R Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection.", "summaryDescription" : "Senior Data Scientist at DoorDash. Skills: Data Science, Analytics, Business Intelligence. Provide insights to understand marketplace dynamics. Provide insights to understand user behaviours", "postedDate" : "2026-06-16T03:16:34.088", "createdAt" : "2026-06-16T03:16:34.088", "lastUpdated" : "2026-06-16T12:39:56.606", "ingestTimestamp" : "2026-06-16T03:16:34.088", "mongoId" : "6a30985ff292fd229c0e4385", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques", "Data Science", "Analytics", "Business Intelligence", "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions", "Strategic projects", "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305d55f292fd229cf65d06", "title" : "Acheteur Indirect – Marketing & Business Services (h/f/nb) – CDI", "company" : "Kiabi", "industry" : "International Trade And Development", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Indirect Buyer in the Retail industry in Lezennes, France, adjusted for company size and seniority." }, "location" : "Lezennes, Hauts-de-France, France", "locations" : [ "Lezennes", "Hauts-de-France", "France" ], "timestamp" : "2026-06-16T10:11:36.844", "fingerprint" : "bd6d314344368fcf7e676934a266d282e923f4e7e49bfea721b75fb265ee739f", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/KIABI/744000132128509-acheteur-indirect-marketing-business-services-h-f-nb-cdi", "externalId" : "744000132128509", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lezennes", "state" : "Hauts-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.6146341,3.1165338" } ], "locationText" : "Lezennes, Hauts-de-France, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Category strategy", "Supplier relationship management", "Cost optimization", "RSE impact" ], "hardSkillsList" : [ "Procurement", "Negotiation", "Tender management", "Contract management" ], "hardSkills" : [ { "name" : "Procurement", "level" : "intermediate" }, { "name" : "Negotiation", "level" : "intermediate" }, { "name" : "Tender management", "level" : "intermediate" }, { "name" : "Contract management", "level" : "intermediate" } ], "majorSkills" : "Indirect purchasing, Marketing procurement, Business services procurement", "majorSkillsList" : [ "Indirect purchasing", "Marketing procurement", "Business services procurement" ], "coreResponsibilities" : "Develop indirect purchasing strategy, Identify performance levers, Select and develop suppliers, Manage supplier relationships, Lead tenders and negotiations, Secure contracts, Identify optimization opportunities, Track results", "teamCollaboration" : "Work with Marketing and RH teams; Transverse and matrix environment", "projectManagementSkills" : [ "Multi-project environment" ], "domainKnowledge" : "Marketing services; Business services; RSE", "domainList" : [ "marketing-services", "business-services", "rse" ], "domainSpecificKnowledge" : [ "Marketing services", "Business services", "RSE" ], "continuousLearning" : "Training for evolution; Learning opportunities", "innovationCreativity" : "Propose new approaches", "problemSolvingSkills" : "Challenge needs; Optimize", "outcomesObjectives" : "Create sustainable value; Achieve cost savings; Ensure contract application", "qualificationsBasic" : "5+ years experience in indirect purchasing, Master's degree, Fluent English", "qualificationsPreferred" : "Experience in Marketing & Business Services categories", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ICI, c'est KIABI ! Rejoindre notre aventure, c’est partager une vision ! Chez KIABI, nous croyons en une expérience professionnelle unique, où chaque talent peut s’épanouir, innover et créer un impact positif. Notre engagement repose sur trois piliers essentiels : * Une Culture Humaine forte : parce que l’humain est au cœur de tout ce que nous faisons. Nous cultivons un environnement bienveillant, inclusif et collaboratif, où chacun peut être soi-même et grandir ensemble. Cette culture humaine propre à KIABI, s’articule autour de nos 4 valeurs : la simplicité, la confiance, le respect et l’engagement. * La Singularité : oser faire différemment, sortir des sentiers battus, briser les codes. Ici, chaque idée compte et chaque Kiaber contribue à écrire notre histoire avec audace et créativité ! * L’innovation : un moteur qui nous propulse vers l’avenir ! Nous encourageons l’expérimentation, les nouvelles approches et les projets qui font bouger les lignes de la mode et du retail. Notre Vision ? Offrir un cadre inspirant où bien-être, évolution professionnelle et impact positif se rejoignent. Labellisée Great Place to Work® , notre entreprise est un véritable terrain d’opportunités, où chacun peut construire son avenir et contribuer à un monde plus responsable. Prêt(e) à vivre une expérience unique ? Rejoins la communauté des KIABERS ! Ton terrain de jeu : Au sein de la Direction des Achats Indirects, tu contribues au développement d’une fonction achats récente et en pleine structuration, avec un fort impact business. Ton rôle : accompagner les équipes (notamment Marketing & RH) et piloter des catégories d’achats stratégiques, dans un environnement international et multi-projets. Ta mission : Tu es responsable de la performance des achats sur ton périmètre (Marketing & Business Services) et tu accompagnes les équipes métiers pour créer de la valeur durable. Tes missions principales sont : Travailler main dans la main avec les équipes * Tu échanges régulièrement avec les équipes Marketing et RH pour comprendre leurs besoins et co-construire les solutions * Tu apportes ton regard achats pour challenger, simplifier et optimiser * Tu accompagnes les projets de A à Z, dans un environnement multi-sujets Piloter tes catégories achats * Tu définis et fais vivre la stratégie achats sur ton périmètre * Tu identifies des leviers de performance : coûts, qualité, innovation, impact RSE * Tu restes en veille pour capter les tendances et opportunités du marché Construire des partenariats fournisseurs solides * Tu sélectionnes et fais grandir un panel de partenaires performants * Tu développes des relations durables et équilibrées * Tu animes des points réguliers pour suivre la performance et faire avancer les sujets Mener les négociations clés * Tu pilotes les appels d’offres et les négociations sur des sujets à enjeux * Tu sécurises les contrats en lien avec les équipes juridiques * Tu veilles à leur bonne application dans le temps Créer de la valeur concrète * Tu identifies des opportunités d’optimisation (TCO) et de gains durables * Tu proposes des approches nouvelles, pragmatiques et adaptées au business * Tu suis les résultats et ajustes quand nécessaire Garantir un cadre responsable * Tu anticipes les risques (financiers, contractuels, opérationnels…) * Tu intègres les enjeux éthiques et RSE dans tes décisions * Tu contribues à faire progresser des pratiques achats responsables ## Qualifications De formation supérieure, tu justifies d’au moins 5 ans d’expérience en achats indirects , qui t’ont permis de gagner en autonomie et en impact sur tes sujets. Tu maîtrises les fondamentaux du métier : appels d’offres, négociation fournisseurs et analyse des propositions, avec la capacité d’apporter un regard stratégique. Tu es à l’aise dans un environnement transverse et matriciel, et tu sais travailler efficacement avec des interlocuteurs multiples, tout en gardant un bon sens des priorités dans un contexte multi-projets. Tu apprécies le travail en équipe et sais collaborer étroitement avec les métiers pour faire avancer les sujets. Tu fais preuve de diplomatie et d’assertivité pour porter tes recommandations. Enfin, tu es force de proposition, curieux(se) et motivé(e) par l’envie d’apprendre et de créer de la valeur. Anglais courant indispensable (à l’oral et à l’écrit). ## Additional Information Kiabi s’engage à étudier, à compétences égales, toutes les candidatures dont celles de personnes en situation de handicap. Pourquoi nous rejoindre ? * Une entreprise reconnue Great Place to Work , classée n°1 des entreprises de plus de 2 500 collaborateurs * Un parcours d'intégration structurée et des formations pour accompagner votre évolution * Une rémunération composée d’un fixe sur 12 mois et d’un variable collectif (intéressement, participation, etc) * Actionnariat : hausse moyenne de 12,86% par an sur les 5 dernières années * Une remise de 25 % sur les produits KIABI C'est pour cela, et bien plus encore, que Ici, c'est kiabi !", "summaryDescription" : "Acheteur Indirect – Marketing & Business Services (h/f/nb) – CDI at Kiabi. Skills: Indirect purchasing, Marketing procurement, Business services procurement. Develop indirect purchasing strategy. Identify performance levers", "postedDate" : "2026-06-15T07:25:31.000", "createdAt" : "2026-06-16T00:09:05.003", "lastUpdated" : "2026-06-16T10:11:36.844", "ingestTimestamp" : "2026-06-16T00:09:05.003", "mongoId" : "6a305d55f292fd229cf65d06", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Procurement", "Negotiation", "Tender management", "Contract management", "Indirect purchasing", "Marketing procurement", "Business services procurement", "Category strategy", "Supplier relationship management", "Cost optimization", "RSE impact", "Multi-project environment", "Marketing services", "Business services", "RSE" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f83f292fd229cee82de", "title" : "Acheteur Indirect – Marketing & Business Services (h/f/nb) – CDI", "company" : "Kiabi", "industry" : "International Trade And Development", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Acheteur Indirect in Retail in Lezennes, France, adjusted for company size and industry." }, "location" : "Lezennes, Hauts-de-France, France", "locations" : [ "Lezennes", "Hauts-de-France", "France" ], "timestamp" : "2026-06-16T05:20:11.253", "fingerprint" : "333cffcc869d2bd929170ef5fd2ff966ada5314b28f98cedd7d57ac3cec3d3be", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/KIABI/744000132128509-acheteur-indirect-marketing-business-services-h-f-nb-cdi", "externalId" : "744000132128509", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lezennes", "state" : "Hauts-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.6146341,3.1165338" } ], "locationText" : "Lezennes, Hauts-de-France, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Strategic sourcing", "Supplier negotiation", "Proposal analysis", "Strategic thinking" ], "majorSkills" : "Indirect purchasing, Marketing services, Business services", "majorSkillsList" : [ "Indirect purchasing", "Marketing services", "Business services" ], "coreResponsibilities" : "Support business teams, Understand business needs, Co-build solutions, Provide purchasing perspective, Challenge processes, Simplify processes, Optimize processes, Support projects, Define purchasing strategy, Implement purchasing strategy, Identify performance levers, Monitor market trends, Identify market opportunities, Select suppliers, Develop suppliers, Build sustainable relationships, Manage supplier performance, Lead tenders, Lead negotiations, Secure contracts, Ensure contract application, Identify optimization opportunities, Identify sustainable gains, Propose new approaches, Follow results, Adjust plans, Anticipate risks, Integrate ethical considerations, Integrate RSE considerations, Advance responsible purchasing practices", "teamCollaboration" : "Work with Marketing teams; Work with HR teams; Work with business teams; Transverse environment; Matrix environment; Multiple stakeholders", "projectManagementSkills" : [ "Multi-project environment" ], "domainKnowledge" : "Marketing; Business services; Indirect purchasing; RSE", "domainList" : [ "marketing", "business-services", "indirect-purchasing", "rse" ], "domainSpecificKnowledge" : [ "Marketing", "Business services", "Indirect purchasing", "RSE" ], "continuousLearning" : "Training for evolution; Learning opportunities", "innovationCreativity" : "Propose new approaches", "problemSolvingSkills" : "Challenge processes; Simplify processes; Optimize processes; Identify optimization opportunities; Identify sustainable gains; Propose new approaches", "outcomesObjectives" : "Create sustainable value; Create concrete value; Achieve sustainable gains", "qualificationsBasic" : "5+ years experience in indirect purchasing, Master indirect purchasing, Master business services, Master marketing services, Fluent English", "qualificationsPreferred" : "Experience in a transverse environment, Experience in a matrix environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ICI, c'est KIABI ! Rejoindre notre aventure, c’est partager une vision ! Chez KIABI, nous croyons en une expérience professionnelle unique, où chaque talent peut s’épanouir, innover et créer un impact positif. Notre engagement repose sur trois piliers essentiels : * Une Culture Humaine forte : parce que l’humain est au cœur de tout ce que nous faisons. Nous cultivons un environnement bienveillant, inclusif et collaboratif, où chacun peut être soi-même et grandir ensemble. Cette culture humaine propre à KIABI, s’articule autour de nos 4 valeurs : la simplicité, la confiance, le respect et l’engagement. * La Singularité : oser faire différemment, sortir des sentiers battus, briser les codes. Ici, chaque idée compte et chaque Kiaber contribue à écrire notre histoire avec audace et créativité ! * L’innovation : un moteur qui nous propulse vers l’avenir ! Nous encourageons l’expérimentation, les nouvelles approches et les projets qui font bouger les lignes de la mode et du retail. Notre Vision ? Offrir un cadre inspirant où bien-être, évolution professionnelle et impact positif se rejoignent. Labellisée Great Place to Work® , notre entreprise est un véritable terrain d’opportunités, où chacun peut construire son avenir et contribuer à un monde plus responsable. Prêt(e) à vivre une expérience unique ? Rejoins la communauté des KIABERS ! Ton terrain de jeu : Au sein de la Direction des Achats Indirects, tu contribues au développement d’une fonction achats récente et en pleine structuration, avec un fort impact business. Ton rôle : accompagner les équipes (notamment Marketing & RH) et piloter des catégories d’achats stratégiques, dans un environnement international et multi-projets. Ta mission : Tu es responsable de la performance des achats sur ton périmètre (Marketing & Business Services) et tu accompagnes les équipes métiers pour créer de la valeur durable. Tes missions principales sont : Travailler main dans la main avec les équipes * Tu échanges régulièrement avec les équipes Marketing et RH pour comprendre leurs besoins et co-construire les solutions * Tu apportes ton regard achats pour challenger, simplifier et optimiser * Tu accompagnes les projets de A à Z, dans un environnement multi-sujets Piloter tes catégories achats * Tu définis et fais vivre la stratégie achats sur ton périmètre * Tu identifies des leviers de performance : coûts, qualité, innovation, impact RSE * Tu restes en veille pour capter les tendances et opportunités du marché Construire des partenariats fournisseurs solides * Tu sélectionnes et fais grandir un panel de partenaires performants * Tu développes des relations durables et équilibrées * Tu animes des points réguliers pour suivre la performance et faire avancer les sujets Mener les négociations clés * Tu pilotes les appels d’offres et les négociations sur des sujets à enjeux * Tu sécurises les contrats en lien avec les équipes juridiques * Tu veilles à leur bonne application dans le temps Créer de la valeur concrète * Tu identifies des opportunités d’optimisation (TCO) et de gains durables * Tu proposes des approches nouvelles, pragmatiques et adaptées au business * Tu suis les résultats et ajustes quand nécessaire Garantir un cadre responsable * Tu anticipes les risques (financiers, contractuels, opérationnels…) * Tu intègres les enjeux éthiques et RSE dans tes décisions * Tu contribues à faire progresser des pratiques achats responsables ## Qualifications De formation supérieure, tu justifies d’au moins 5 ans d’expérience en achats indirects , qui t’ont permis de gagner en autonomie et en impact sur tes sujets. Tu maîtrises les fondamentaux du métier : appels d’offres, négociation fournisseurs et analyse des propositions, avec la capacité d’apporter un regard stratégique. Tu es à l’aise dans un environnement transverse et matriciel, et tu sais travailler efficacement avec des interlocuteurs multiples, tout en gardant un bon sens des priorités dans un contexte multi-projets. Tu apprécies le travail en équipe et sais collaborer étroitement avec les métiers pour faire avancer les sujets. Tu fais preuve de diplomatie et d’assertivité pour porter tes recommandations. Enfin, tu es force de proposition, curieux(se) et motivé(e) par l’envie d’apprendre et de créer de la valeur. Anglais courant indispensable (à l’oral et à l’écrit). ## Additional Information Kiabi s’engage à étudier, à compétences égales, toutes les candidatures dont celles de personnes en situation de handicap. Pourquoi nous rejoindre ? * Une entreprise reconnue Great Place to Work , classée n°1 des entreprises de plus de 2 500 collaborateurs * Un parcours d'intégration structurée et des formations pour accompagner votre évolution * Une rémunération composée d’un fixe sur 12 mois et d’un variable collectif (intéressement, participation, etc) * Actionnariat : hausse moyenne de 12,86% par an sur les 5 dernières années * Une remise de 25 % sur les produits KIABI C'est pour cela, et bien plus encore, que Ici, c'est kiabi !", "summaryDescription" : "Acheteur Indirect – Marketing & Business Services (h/f/nb) – CDI at Kiabi. Skills: Indirect purchasing, Marketing services, Business services. Support business teams. Understand business needs", "postedDate" : "2026-06-15T07:25:31.000", "createdAt" : "2026-06-15T21:49:52.624", "lastUpdated" : "2026-06-16T05:20:11.253", "ingestTimestamp" : "2026-06-15T21:49:52.624", "mongoId" : "6a304f83f292fd229cee82de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Indirect purchasing", "Marketing services", "Business services", "Strategic sourcing", "Supplier negotiation", "Proposal analysis", "Strategic thinking", "Multi-project environment", "Marketing", "RSE" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30706cf292fd229cff4a30", "title" : "Senior Data Scientist - Data Hub Sales (m/f/d)", "company" : "A11", "industry" : "Logistics", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in the automotive industry in Ratingen, Germany, adjusted for seniority and company size." }, "location" : "DKV", "locations" : [ "DKV" ], "timestamp" : "2026-06-16T09:46:49.851", "fingerprint" : "19e63f6fa4ff8e376403dd9447999ab6988fd48109d2fa373a8bac3dacf8d426", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.greenhouse.io/projectaservicesgmbhcokg/jobs/8514663002", "externalId" : "8514663002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ratingen", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.2973261,6.8493503" } ], "locationText" : "Ratingen, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Azure, Snowflake, GenAI, LLMs, RAG", "professionalSkills" : [ "Data storytelling", "Model development", "MLOps" ], "hardSkillsList" : [ "Statistical methods", "Regression models", "Time series analysis", "AI algorithms", "ML pipelines", "CI/CD", "Model registry", "Monitoring" ], "softSkillsList" : [ "Mentor", "Autonomy", "Reliability" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression models", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "AI algorithms", "level" : "intermediate" }, { "name" : "ML pipelines", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Model registry", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentor" }, { "name" : "Autonomy" }, { "name" : "Reliability" } ], "majorSkills" : "Data Science, Machine Learning, AI strategy, MLOps", "majorSkillsList" : [ "Data Science", "Machine Learning", "AI strategy", "MLOps" ], "coreResponsibilities" : "Develop and apply statistical and ML-based models, Design and manage Data Science and AI solutions, Take full ownership of large sales dataset analysis, Translate findings into clear, actionable recommendations, Drive collaboration with Data Engineers and Data Analysts, Develop KPIs, dashboards, and reporting, Deliver complex insights through audience-focused data storytelling, Own predictive models, Lead proof-of-concept initiatives, Build robust end-to-end ML pipelines, Implement MLOps standards, Mentor and guide other Data Scientists, Foster a culture of exploration and professional growth, Identify optimization potential, Develop new AI and analytics use cases", "teamCollaboration" : "Data Engineers; Data Analysts; Sales stakeholders", "domainKnowledge" : "Sales use cases; Pipeline forecasting; Churn prediction; Lead scoring; Sales processes; CRM data; Sales KPIs", "domainList" : [ "sales-use-cases", "pipeline-forecasting", "churn-prediction", "lead-scoring", "sales-processes", "crm-data", "sales-kpis" ], "domainSpecificKnowledge" : [ "Sales use cases", "Pipeline forecasting", "Churn prediction", "Lead scoring", "Sales processes", "CRM data", "Sales KPIs" ], "toolProficiency" : [ "SAP", "Power BI" ], "communicationSkills" : "Data storytelling; Present complex analyses", "continuousLearning" : "LinkedIn Learning; Career growth opportunities", "innovationCreativity" : "Proof of concept; New model development; New AI use cases", "problemSolvingSkills" : "Optimization potential", "outcomesObjectives" : "Generate measurable impact across sales organization", "qualificationsBasic" : "Several years of experience in Data Science and Machine Learning, Advanced proficiency in Python, Advanced proficiency in SQL, Fluent in German, Fluent in English", "qualificationsPreferred" : "PhD preferred, Experience with SAP, Experience with Power BI", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Job As a key growth accelerator, A11 partners with Europe's most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent ready to make an impact. We're looking for an experienced Senior Data Scientist (m/f/d) to join and drive the Data Science and AI strategy within the Sales Data Hub at a Leading European Mobility Company. As a Senior Data Scientist, you'll build and scale end-to-end ML solutions from proof of concept to production that generate measurable impact across the sales organization. A Leading European Mobility Company enabling businesses to fuel, charge, and manage their fleets across 42 countries. In this role, you’ll: Independently develop and apply statistical and ML-based models (regression, time series, classification, clustering) for sales use cases such as pipeline forecasting, churn prediction, and lead scoring Design and manage Data Science and AI solutions in Python and SQL on Azure and Snowflake, from proof of concept through to production deployment Take full ownership of large sales dataset analysis and translate findings into clear, actionable recommendations for sales stakeholders Drive collaboration with Data Engineers and Data Analysts to develop KPIs, dashboards, and reporting delivering complex insights through audience-focused data storytelling Own predictive models (forecasting, churn) within the Sales Data Hub and lead proof-of-concept initiatives for new model development Build robust end-to-end ML pipelines and implement MLOps standards including CI/CD, model registry, and monitoring Mentor and guide other Data Scientists, fostering a culture of exploration and professional growth Proactively identify optimization potential and develop new AI and analytics use cases within the sales domain Your Profile: Several years of experience in Data Science and Machine Learning, with a strong command of statistical methods, regression models, time series analysis, and modern AI algorithms Advanced proficiency in Python and SQL, with hands-on experience building value-generating solutions in cloud-based environments Proven experience with GenAI use cases such as LLMs, RAG systems, or \"talk-to-your-data\" interfaces Solid track record building robust ML pipelines and implementing MLOps standards Experience with sales processes, CRM data, and relevant sales KPIs is a strong plus; familiarity with SAP and Power BI is welcome Strong communicator who can present complex analyses clearly to diverse audiences, including senior management Natural mentor with a high level of autonomy, reliability, and a collaborative mindset Fluent in both German and English Please note that this position is based in Ratingen. Benefits and Perks: Market-aligned compensation with a function-dependent bonus scheme and an attractive corporate pension plan (30% employer-financed) Hybrid working: up to 40% remote from anywhere in Germany, plus up to 20 workation days per year across Europe State-of-the-art workplaces, natural retreats, parent-child offices, and underground parking with e-car and e-bike charging Fuel and EV charging discounts for up to 2 private vehicles, plus a leasing subsidy for two JobBikes and a subsidised job ticket 30 vacation days plus special leave days Employee counselling, family services, health checks, and regular health days and events High-potential development programs, LinkedIn Learning, and career growth opportunities across all paths Community events, including summer parties and Corporate Volunteering days If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you! Our Commitment to Diversity and Inclusion A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.", "summaryDescription" : "Senior Data Scientist - Data Hub Sales (m/f/d) at A11. Skills: Data Science, Machine Learning, AI strategy, MLOps. Develop and apply statistical and ML-based models. Design and manage Data Science and AI solutions", "postedDate" : "2026-06-16T01:16:51.319", "createdAt" : "2026-06-16T01:16:51.319", "lastUpdated" : "2026-06-16T09:46:49.851", "ingestTimestamp" : "2026-06-16T01:16:51.319", "mongoId" : "6a30706cf292fd229cff4a30", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Regression models", "Time series analysis", "AI algorithms", "ML pipelines", "CI/CD", "Model registry", "Monitoring", "Mentor", "Autonomy", "Reliability", "Data Science", "Machine Learning", "AI strategy", "MLOps", "Data storytelling", "Model development", "Sales use cases", "Pipeline forecasting", "Churn prediction", "Lead scoring", "Sales processes", "CRM data", "Sales KPIs", "SAP", "Power BI" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308746f292fd229c0875ac", "title" : "Staff Data Scientist", "company" : "CharterUP", "salary" : { "min" : 250000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Data Scientist in Austin, TX, adjusted for executive seniority and a technology industry company." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:14:59.492", "fingerprint" : "422e6efa809b84104b2f97f96d6f660a1f63af660b12cde19e957f1f20ae8d08", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/charterup/jobs/5263464008", "externalId" : "5263464008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Build and maintain BI dashboards, Perform statistical analysis, Conduct A/B testing, Collaborate with engineering teams, Communicate findings to stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Engineering teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field", "qualificationsPreferred" : "PhD in a quantitative field, Experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, Experience with cloud platforms (AWS, GCP, Azure), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About CharterUP. CharterUP is transforming the $450+ billion group transportation and mobility market with an AI native platform that powers modern charter, shuttle, and emerging autonomous vehicle operations. Trusted by many Fortune 500 companies, CharterUP connects enterprises, institutions, and event organizers to thousands of bus operators nationwide, while increasingly serving as the operating system for large scale shuttle and transit programs across airports, campuses, industrial sites, and major events. Through real time availability, transparent pricing, intelligent routing, and AI driven dispatch and optimization, CharterUP replaces a fragmented and opaque industry with automation, accountability, and scale. Why Join Us Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change. Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there’s no better time to join our dynamic, growth-stage organization. Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX. Funding and Stability: Our $60 million Series A funding was just the start—we’re poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability. About the Role CharterUP is seeking a Staff Data Scientist to advance our data science capabilities within a growing marketplace team. You’ll be a hands-on technical leader, designing and deploying machine learning models in production with an immediate focus on pricing and availability optimization that directly shapes customer experience and marketplace efficiency. Over time, you’ll expand into forecasting, automation, and optimization, while helping strengthen the systems, standards, and practices that enable data science to scale across the organization. This role combines deep individual technical ownership with the opportunity to meaningfully influence how data informs decision-making across CharterUP’s platform and operations. Title: Staff Data Scientist Reports to: Chief Product Officer Location: This position is based in Austin, TX (Hybrid: Monday, Wednesday, Friday in-office). What You’ll Do Hands-On Model Development: Design, implement, and maintain production ML models with an immediate focus on pricing and availability, expanding into forecasting, automation, and optimization Build and Shape the Function: Establish the principles, infrastructure, and systems for data science, ensuring a scalable foundation that supports long-term growth. Data Infrastructure & Quality: Drive improvements in data pipelines, modeling, and governance to ensure reliable, high-quality data for decision-making. Strategic Partnering: Collaborate closely with executives and cross-functional teams to translate complex data into clear insights, metrics, and recommendations that influence business direction. Champion a Data-First Culture: Promote best practices in experimentation, statistical rigor, and data storytelling, while mentoring peers and setting the stage for a future team. Key Initial Objectives (6-12 months) Translate pricing and availability insights into scalable systems: Work with Engineering to embed elasticity models, demand forecasts, and operator availability logic into the core platform so they directly influence quotes and surfaced options. Build production-ready pricing and matching levers: Design and implement dynamic rules or models that optimize both customer price acceptance and operator match rates, ensuring supply is surfaced efficiently and profitably. Establish robust testing and monitoring: Put in place frameworks for controlled experiments on both pricing and supply-matching, with clear KPIs that balance margin, conversion, and operator acceptance. Accelerate decision-making with transparency: Ensure pricing and availability strategies are explainable and measurable, with dashboards that make outcomes visible across Product, Sales, Finance, and Ops. Lay the foundation for scale: Develop processes and systems that allow pricing and operator matching to scale beyond one-off analysis, creating a repeatable, trusted capability within the organization. What You’ll Bring Proven Data Science Leadership: 8+ years of experience in data science with a track record of building and scaling data-driven functions, leading cross-functional teams, and delivering high-impact projects in high-growth or startup environments. Machine Learning & Statistical Expertise: Hands-on experience designing, deploying, and maintaining ML models in production, including pricing, demand forecasting, and availability optimization, paired with deep skills in AI/ML, LLMs, NLP, statistical modeling, experimental design, and advanced analysis. Data Infrastructure & Technical Depth: Advanced proficiency with SQL in big data environments, Python/R for large-scale analysis, and strong background in data modeling, pipeline development, and ensuring data quality and governance. Strategic and Business Alignment: Demonstrated ability to align data science initiatives with business goals, translating complex data into clear strategies and actionable insights that drive growth and operational efficiency. Collaboration and Communication: Excellent communicator and partner across technical and non-technical teams, with proven ability to influence at the executive level, mentor peers and junior talent, and champion a data-first culture across the organization. Recruiting Process Step 1 - Video call: Talent Acquisition interview Step 2 - Video call: Hiring Manager interview Step 3 - Video call: Team interviews (x2) Step 4 - Video call: Case Study & Panel Presentation Step 5 - Offer & reference check Welcome aboard! Salary $220,000—$250,000 USD Global Benefits & Perks at CharterUP We believe great people can live anywhere—and they deserve great benefits, too. While offerings may vary slightly by location, we prioritize hiring near our hubs in Austin, Atlanta, Miami, and Denver as we grow our global team. Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states. Comprehensive Health & Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards. Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country. Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available. Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together. Referral Rewards: Earn bonuses for bringing top talent to the team. Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable. Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running. CharterUP is an Equal Opportunity Employer. We are committed to creating an inclusive, accessible, and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, ancestry, disability, medical condition, marital status, veteran status, or any other protected characteristic in accordance with applicable federal, state, and local laws in the United States and Canada. If you require accommodation during the recruitment process, please let us know. CharterUP is committed to providing reasonable accommodations during the hiring process. If you need assistance or an accommodation, please contact your recruiter. Hiring Locations: CharterUP U.S.-based candidates and employees must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Hawaii, Mississippi, Missouri, North Carolina, New Hampshire, Nevada, New York, Oklahoma, South Dakota, Tennessee, Texas, Utah, Washington, and Wyoming. We hire in the U. S. and Canada and are actively expanding our global footprint.", "summaryDescription" : "Staff Data Scientist at CharterUP. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:21:40.893", "createdAt" : "2026-06-16T01:21:40.893", "lastUpdated" : "2026-06-16T10:14:59.492", "ingestTimestamp" : "2026-06-16T01:21:40.893", "mongoId" : "6a308746f292fd229c0875ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Machine learning", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309f59f292fd229c109322", "title" : "Business Analyst Payments - H/F", "company" : "Talan", "industry" : "Financial Services", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Business Analyst in the FinTech industry in Paris, France, adjusted for seniority and company size." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T12:31:32.620", "fingerprint" : "96ee3887d5a6537c8b647338edbf734cee8632920d0891b053b9f7bff7ade077", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Talan/744000132129475-business-analyst-payments-h-f", "externalId" : "744000132129475", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "IDF", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, IDF, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Cash management", "Payment flow", "Payment methods" ], "hardSkillsList" : [ "Functional specifications", "Test scenarios", "Bug tracking", "User support", "Production monitoring" ], "softSkillsList" : [ "Rigorous", "Team spirit" ], "hardSkills" : [ { "name" : "Functional specifications", "level" : "intermediate" }, { "name" : "Test scenarios", "level" : "intermediate" }, { "name" : "Bug tracking", "level" : "intermediate" }, { "name" : "User support", "level" : "intermediate" }, { "name" : "Production monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Rigorous" }, { "name" : "Team spirit" } ], "majorSkills" : "Payments, Business Analysis, IT Systems", "majorSkillsList" : [ "Payments", "Business Analysis", "IT Systems" ], "coreResponsibilities" : "Write specifications, Record test scenarios, Execute test scenarios, Track bugs, Coordinate stakeholders, Assist users, Monitor production", "teamCollaboration" : "Business teams; IT teams; MOA teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Payment systems; Information systems; SEPA; SCT; SDD; Instant Payments; Correspondent Banking", "domainList" : [ "payment-systems", "information-systems", "sepa", "sct", "sdd", "instant-payments", "correspondent-banking" ], "domainSpecificKnowledge" : [ "Payment systems", "Information systems", "SEPA", "SCT", "SDD", "Instant Payments", "Correspondent Banking" ], "toolProficiency" : [ "JIRA" ], "documentationSkills" : "Functional specifications", "continuousLearning" : "Training program; Mentoring program", "qualificationsBasic" : "5 years experience consultant, 5 years cash management experience, 5 years payment flow experience, 5 years payment methods experience, Good English level", "qualificationsPreferred" : "Agile experience is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Fondé en France, Talan est aujourd’hui un groupe international qui accompagne ses clients dans leur transformation Data & IA, de bout en bout, en combinant conseil en management et expertise technologique. Avec plus de 6000 collaborateurs sur 5 continents, nous accélérons les transformations de nos clients à travers des partenariats de long terme, en créant un impact mesurable et durable. Notre proposition de valeur repose sur un écosystème d’innovation structuré : 2 500 experts Data & IA, des solutions propriétaires construites sur des modèles avancés et un laboratoire de recherche appliquée, de développement expérimental et d’innovation. Nous traduisons l’innovation technologique en avantage concurrentiel depuis plus de 20 ans dans des secteurs stratégiques : banques et services financiers, énergie, transport et mobilité, luxe et distribution, santé. Porté par sa promesse de Positive Innovation, Talan s’impose comme un acteur de référence pour répondre à la complexité croissante des environnements économiques, technologiques et réglementaires. Talan est une entreprise responsable, reconnue par ses collaborateurs et attachée à la diversité. Retrouvez nos engagements RSE [ici](https://www.talan.com/global/fr/qui-sommes-nous/notre-vision/engagement-rse) et nos actions en faveur de la diversité [ici](https://www.charte-diversite.com/signataires/talan/) Des aménagements peuvent être proposés si vous êtes en situation de handicap. Notre Business Unit Finance est une équipe composée essentiellement d’experts comme vous, qui interviennent sur toute la chaîne front-to-back sur des missions de Conseil ou de MOA Métier. Pour renforcer notre équipe spécialisée Paiements, nous recrutons des profils Business Analyst confirmés ayant une bonne compréhension des problématiques de paiements, du système d'information (Méthodologies, formats de messages et protocoles d’échanges, processus et SI) et sachant gérer des projets dans des contextes internationaux en assurant le lien entre le Métier et les équipes IT. Vous serez amené à intervenir sur toutes les étapes d’un projet de paiement, tant du côté des équipes métiers (Marketing, Opérations…) que des équipes MOA et IT. Vos rôles peuvent être Product Owner métier, PPO, Business Analyst, CP, responsable des tests métiers/techniques… Vos réalisations : * Rédaction de cahiers des charges, expressions de besoins et spécifications fonctionnelles détaillées * Consignation de scénarios et des cas de test dans un outil de suivi de recette * Exécution et suivi des scénarios de test * Consignation des bugs et suivi des correctifs * Coordination avec tous les acteurs impliqués (Métiers, IT et MOA) * Assistance utilisateur et suivi de production Exemples de projets : * Moteurs de paiements SEPA, SCT, SDD et Instant Payments * Supervision de flux de paiements de bout en bout jusqu’à la compensation * Projets de Correspondant Banking #TalanFrance #LI-SS1 #LI-KK1 ## Qualifications * Vous justifiez d'une expérience de 5 ans en tant que consultant sur une solution de cash management, de flux de paiement ou de moyens de paiement * Vous avez une connaissance étendue des moyens de paiements domestiques, européens et internationaux : Initiation et exécution des paiements/prélèvements, restitution vers le client, gestion des droits clients * Intègre, rigoureux (se), dynamique, vous avez une forte envie d'apprendre de nouveaux environnements techniques, fonctionnels et métiers * Votre relationnel vous permet de vous adapter à toute situation et vous disposez d'un fort esprit d'équipe, * Bon niveau d'anglais requis * Une expérience en agile est un plus ## Additional Information * Locaux modernes en centre-ville * Télétravail jusqu’à 5 jours selon les missions, prime d’équipement de 100 € * Actionnariat salarié * Proximité et convivialité cultivées à tous les niveaux de l’entreprise (Great Place to Work depuis 10 ans, Top 5 des entreprises où il fait bon travailler depuis 5 ans) * Retour de congé maternité possible à 4/5ème sans perte de salaire pendant 6 mois * Permanence handicap (consultant dédié aux collaborateurs en situation de handicap et aux proches aidants). * Offre de formation complète sur site et à distance, programme de mentoring pour les femmes * Mobilité en France et à l’étranger * Tickets restaurant, prime vacances, 50% transport (abonnement transport public), mutuelle * Primes de cooptation de 500 à 4000 € * Top 1% des entreprises évaluées par Ecovadis dans le domaine social, environnemental et éthique", "summaryDescription" : "Business Analyst Payments - H/F at Talan. Skills: Payments, Business Analysis, IT Systems. Write specifications. Record test scenarios", "postedDate" : "2026-06-15T07:34:22.000", "createdAt" : "2026-06-16T03:36:34.616", "lastUpdated" : "2026-06-16T12:31:32.620", "ingestTimestamp" : "2026-06-16T03:36:34.616", "mongoId" : "6a309f59f292fd229c109322", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Functional specifications", "Test scenarios", "Bug tracking", "User support", "Production monitoring", "Rigorous", "Team spirit", "Payments", "Business Analysis", "IT Systems", "Cash management", "Payment flow", "Payment methods", "Agile", "Payment systems", "Information systems", "SEPA", "SCT", "SDD", "Instant Payments", "Correspondent Banking", "JIRA" ], "skillCount" : 22, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f20f292fd229cf78f1d", "title" : "Business Analyst Payments - H/F", "company" : "Talan", "industry" : "Financial Services", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Business Analyst in the FinTech industry in Paris, France, adjusted for seniority and company size." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T13:59:21.377", "fingerprint" : "e5b9287079439632f53402bd1a6872784ad1bef08b8499433b238e3097bf182f", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Talan/744000132129475-business-analyst-payments-h-f", "externalId" : "744000132129475", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "IDF", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, IDF, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Cash management", "Payment flow", "Payment methods" ], "hardSkillsList" : [ "Functional specifications", "Test scenarios", "Bug tracking", "User support", "Production monitoring" ], "softSkillsList" : [ "Rigorous", "Team spirit" ], "hardSkills" : [ { "name" : "Functional specifications", "level" : "intermediate" }, { "name" : "Test scenarios", "level" : "intermediate" }, { "name" : "Bug tracking", "level" : "intermediate" }, { "name" : "User support", "level" : "intermediate" }, { "name" : "Production monitoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Rigorous" }, { "name" : "Team spirit" } ], "majorSkills" : "Payments, Business Analysis, IT Systems", "majorSkillsList" : [ "Payments", "Business Analysis", "IT Systems" ], "coreResponsibilities" : "Write specifications, Record test scenarios, Execute test scenarios, Track bugs, Coordinate stakeholders, Assist users, Monitor production", "teamCollaboration" : "Business teams; IT teams; MOA teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Payment systems; Information systems; SEPA; SCT; SDD; Instant Payments; Correspondent Banking", "domainList" : [ "payment-systems", "information-systems", "sepa", "sct", "sdd", "instant-payments", "correspondent-banking" ], "domainSpecificKnowledge" : [ "Payment systems", "Information systems", "SEPA", "SCT", "SDD", "Instant Payments", "Correspondent Banking" ], "toolProficiency" : [ "JIRA" ], "documentationSkills" : "Functional specifications", "continuousLearning" : "Learning new environments", "qualificationsBasic" : "5 years experience consultant, 5 years cash management experience, 5 years payment flow experience, 5 years payment methods experience, Good English level", "qualificationsPreferred" : "Agile experience is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Fondé en France, Talan est aujourd’hui un groupe international qui accompagne ses clients dans leur transformation Data & IA, de bout en bout, en combinant conseil en management et expertise technologique. Avec plus de 6000 collaborateurs sur 5 continents, nous accélérons les transformations de nos clients à travers des partenariats de long terme, en créant un impact mesurable et durable. Notre proposition de valeur repose sur un écosystème d’innovation structuré : 2 500 experts Data & IA, des solutions propriétaires construites sur des modèles avancés et un laboratoire de recherche appliquée, de développement expérimental et d’innovation. Nous traduisons l’innovation technologique en avantage concurrentiel depuis plus de 20 ans dans des secteurs stratégiques : banques et services financiers, énergie, transport et mobilité, luxe et distribution, santé. Porté par sa promesse de Positive Innovation, Talan s’impose comme un acteur de référence pour répondre à la complexité croissante des environnements économiques, technologiques et réglementaires. Talan est une entreprise responsable, reconnue par ses collaborateurs et attachée à la diversité. Retrouvez nos engagements RSE [ici](https://www.talan.com/global/fr/qui-sommes-nous/notre-vision/engagement-rse) et nos actions en faveur de la diversité [ici](https://www.charte-diversite.com/signataires/talan/) Des aménagements peuvent être proposés si vous êtes en situation de handicap. Notre Business Unit Finance est une équipe composée essentiellement d’experts comme vous, qui interviennent sur toute la chaîne front-to-back sur des missions de Conseil ou de MOA Métier. Pour renforcer notre équipe spécialisée Paiements, nous recrutons des profils Business Analyst confirmés ayant une bonne compréhension des problématiques de paiements, du système d'information (Méthodologies, formats de messages et protocoles d’échanges, processus et SI) et sachant gérer des projets dans des contextes internationaux en assurant le lien entre le Métier et les équipes IT. Vous serez amené à intervenir sur toutes les étapes d’un projet de paiement, tant du côté des équipes métiers (Marketing, Opérations…) que des équipes MOA et IT. Vos rôles peuvent être Product Owner métier, PPO, Business Analyst, CP, responsable des tests métiers/techniques… Vos réalisations : * Rédaction de cahiers des charges, expressions de besoins et spécifications fonctionnelles détaillées * Consignation de scénarios et des cas de test dans un outil de suivi de recette * Exécution et suivi des scénarios de test * Consignation des bugs et suivi des correctifs * Coordination avec tous les acteurs impliqués (Métiers, IT et MOA) * Assistance utilisateur et suivi de production Exemples de projets : * Moteurs de paiements SEPA, SCT, SDD et Instant Payments * Supervision de flux de paiements de bout en bout jusqu’à la compensation * Projets de Correspondant Banking #TalanFrance #LI-SS1 #LI-KK1 ## Qualifications * Vous justifiez d'une expérience de 5 ans en tant que consultant sur une solution de cash management, de flux de paiement ou de moyens de paiement * Vous avez une connaissance étendue des moyens de paiements domestiques, européens et internationaux : Initiation et exécution des paiements/prélèvements, restitution vers le client, gestion des droits clients * Intègre, rigoureux (se), dynamique, vous avez une forte envie d'apprendre de nouveaux environnements techniques, fonctionnels et métiers * Votre relationnel vous permet de vous adapter à toute situation et vous disposez d'un fort esprit d'équipe, * Bon niveau d'anglais requis * Une expérience en agile est un plus ## Additional Information * Locaux modernes en centre-ville * Télétravail jusqu’à 5 jours selon les missions, prime d’équipement de 100 € * Actionnariat salarié * Proximité et convivialité cultivées à tous les niveaux de l’entreprise (Great Place to Work depuis 10 ans, Top 5 des entreprises où il fait bon travailler depuis 5 ans) * Retour de congé maternité possible à 4/5ème sans perte de salaire pendant 6 mois * Permanence handicap (consultant dédié aux collaborateurs en situation de handicap et aux proches aidants). * Offre de formation complète sur site et à distance, programme de mentoring pour les femmes * Mobilité en France et à l’étranger * Tickets restaurant, prime vacances, 50% transport (abonnement transport public), mutuelle * Primes de cooptation de 500 à 4000 € * Top 1% des entreprises évaluées par Ecovadis dans le domaine social, environnemental et éthique", "summaryDescription" : "Business Analyst Payments - H/F at Talan. Skills: Payments, Business Analysis, IT Systems. Write specifications. Record test scenarios", "postedDate" : "2026-06-15T07:34:22.000", "createdAt" : "2026-06-16T00:16:47.749", "lastUpdated" : "2026-06-16T13:59:21.377", "ingestTimestamp" : "2026-06-16T00:16:47.749", "mongoId" : "6a305f20f292fd229cf78f1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Functional specifications", "Test scenarios", "Bug tracking", "User support", "Production monitoring", "Rigorous", "Team spirit", "Payments", "Business Analysis", "IT Systems", "Cash management", "Payment flow", "Payment methods", "Agile", "Payment systems", "Information systems", "SEPA", "SCT", "SDD", "Instant Payments", "Correspondent Banking", "JIRA" ], "skillCount" : 22, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309ca0f292fd229c0fc5c1", "title" : "Senior Data Scientist", "company" : "Calm", "industry" : "Healthcare", "salary" : { "min" : 172200.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Minneapolis, Minnesota, United States", "locations" : [ "Minneapolis", "Minnesota", "United States", "New York", "New York", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T12:31:23.594", "fingerprint" : "8e42258bbeb896b5ee33056fc149a3e674aebb37be760468719151e4e7f2b5e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/calm/jobs/8593223002", "externalId" : "8593223002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Minneapolis", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9772995,-93.2654692" } ], "locationText" : "Minneapolis, Minnesota, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Business intuition", "Decision-making", "Relationship management", "Presentation skills" ], "hardSkillsList" : [ "Data manipulation", "Experiment design", "Experiment analysis", "Experiment interpretation", "Statistical rigor" ], "softSkillsList" : [ "Pragmatic", "Impact-oriented" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Experiment analysis", "level" : "intermediate" }, { "name" : "Experiment interpretation", "level" : "intermediate" }, { "name" : "Statistical rigor", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Pragmatic" }, { "name" : "Impact-oriented" } ], "majorSkills" : "Data Science, Experimentation, Analytics", "majorSkillsList" : [ "Data Science", "Experimentation", "Analytics" ], "coreResponsibilities" : "Leverage consumer data, Prioritize product investments, Prioritize growth investments, Identify acquisition opportunities, Identify conversion opportunities, Identify engagement opportunities, Identify retention opportunities, Identify subscriber growth opportunities, Automate analyses, Automate data products, Partner with product teams, Perform deep-dive analysis, Understand user engagement behavior, Design experiments, Implement experiments, Analyze experiments, Measure impact of new features, Bridge gap between data and action, Inform key decision-makers, Build internal data products, Drive team success", "teamCollaboration" : "Collaborate with stakeholders; Partner with product teams; Collaborate with technical teams; Collaborate with non-technical teams; Develop cross-functional partnerships", "domainKnowledge" : "Consumer mental health; Subscription businesses; Digital consumer products", "domainList" : [ "consumer-mental-health", "subscription-businesses", "digital-consumer-products" ], "domainSpecificKnowledge" : [ "Consumer mental health", "Subscription businesses", "Digital consumer products" ], "toolProficiency" : [ "Amplitude", "Tableau", "Mode" ], "communicationSkills" : "Communicate trends; Translate business requirements; Translate technical solutions", "problemSolvingSkills" : "Ambiguous business questions; Practical decision-making", "qualificationsBasic" : "Proficiency in SQL, Comfort manipulating data with Python or R, BAS in quantitative field, Experience designing experiments, Experience analyzing experiments, Experience interpreting experiments, Translate business requirements to technical solutions, Translate technical solutions to business outcomes, 5 years of data science experience", "qualificationsPreferred" : "Experience with digital consumer products, Experience with subscription businesses, Experience supporting product analytics, Experience supporting experimentation, Experience supporting user acquisition, Experience supporting lifecycle marketing, Experience supporting retention, Experience with causal inference, Experience with incrementality testing, Experience with attribution, Experience with marketing measurement, Experience with product analytics tools, Experience with BI tools, Experience building scalable analyses, Experience building scalable reporting, Experience building scalable measurement frameworks", "remoteFriendly" : false, "rawDescription" : "About Calm Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health, offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 42 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company’s Brands That Matter. Learn more at calm.com. What We Do We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex, but in all cases we rely on data to drive our solutions. What You’ll Do As a Senior Data Scientist you will leverage Calm’s consumer data to help prioritize product and growth investments, identify opportunities to improve acquisition, conversion, engagement, retention, and subscriber growth, and automate analyses and data products for key decision-makers. In this role, you will partner across product and growth marketing to turn ambiguous business questions into clear analyses, experimentation plans, and actionable recommendations. You will use data to understand user behavior, measure the impact of product and marketing initiatives, and help teams make better decisions faster. This position is ideal for candidates who enjoy diving into new domains, building business intuition, and balancing statistical rigor with practical decision-making. You Will: Collaborate with stakeholders across product and growth marketing to analyze and communicate how trends in key metrics affect business performance Partner with product teams to perform deep-dive analysis to understand user engagement behavior Design, implement and analyze experiments to measure the impact of new features on core product metrics Collaborate with partners across technical and non-technical teams to bridge the gap between data and action Help key-decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode Develop strong cross-functional partnerships across Calm to drive our team's success Who You Are Strong proficiency in SQL Comfortable manipulating data with Python or R BA/BS in quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline Experience with designing, analyzing, and interpreting experiments Ability to translate non-technical business requirements into technical solutions, and translate technical solutions into business outcomes Strong relationship management and presentation skills Pragmatic and impact-oriented, with the ability to balance scrappiness and rigor Nice to Haves Experience working on digital consumer products or subscription businesses Experience supporting product analytics, experimentation, user acquisition, lifecycle marketing, or retention Experience with causal inference, incrementality testing, attribution, or marketing measurement Experience working with product analytics and BI tools such as Amplitude, Tableau, and Mode Experience building scalable analyses, reporting, or measurement frameworks that enable self-service decision-making Minimum Requirements 5 years of data science experience Calm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay range across Calm’s pay tiers is as follows: $172,200 - $225,000. The base pay range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process. Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case-by-case basis. We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening. FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. Right to Work E-Verify Participation", "summaryDescription" : "Senior Data Scientist at Calm. Skills: Data Science, Experimentation, Analytics. Leverage consumer data. Prioritize product investments", "postedDate" : "2026-06-16T03:17:27.031", "createdAt" : "2026-06-16T03:17:27.031", "lastUpdated" : "2026-06-16T12:31:23.594", "ingestTimestamp" : "2026-06-16T03:17:27.031", "mongoId" : "6a309ca0f292fd229c0fc5c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 172200, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data manipulation", "Experiment design", "Experiment analysis", "Experiment interpretation", "Statistical rigor", "Pragmatic", "Impact-oriented", "Data Science", "Experimentation", "Analytics", "Business intuition", "Decision-making", "Relationship management", "Presentation skills", "Consumer mental health", "Subscription businesses", "Digital consumer products", "Amplitude", "Tableau", "Mode" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511cf292fd229cefa999", "title" : "Data Scientist 5", "company" : "iFood", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 350000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Scientist in Osasco, Brazil, adjusted for the technology industry and company size." }, "location" : "Av. dos Autonomistas - Vila Yara, Osasco - SP", "locations" : [ "Av. dos Autonomistas - Vila Yara", "Osasco - SP" ], "timestamp" : "2026-06-16T07:17:55.528", "fingerprint" : "aa3353a2ff35e2f1487404868530f3d7df7acb5e1bb4a5bc8aacd6dc2416bf0c", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.greenhouse.io/ifoodcarreiras/jobs/8510483002", "externalId" : "8510483002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Osasco", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5324859,-46.7916801" } ], "locationText" : "Osasco, São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Lang Graph, Amazon stack, Databricks", "professionalSkills" : [ "Modelagem de dados", "Tratamento de dados" ], "hardSkillsList" : [ "Machine learning", "Arquitetura agêntica", "Monitoramento de agentes", "Gestão de riscos", "Baixa latência", "Alta responsividade", "Implementação de fallbacks", "Gerenciamento de complexidade", "Modelagem de dados", "Tratamento de dados" ], "softSkillsList" : [ "Inovação", "Adaptação" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Arquitetura agêntica", "level" : "intermediate" }, { "name" : "Monitoramento de agentes", "level" : "intermediate" }, { "name" : "Gestão de riscos", "level" : "intermediate" }, { "name" : "Baixa latência", "level" : "intermediate" }, { "name" : "Alta responsividade", "level" : "intermediate" }, { "name" : "Implementação de fallbacks", "level" : "intermediate" }, { "name" : "Gerenciamento de complexidade", "level" : "intermediate" }, { "name" : "Modelagem de dados", "level" : "intermediate" }, { "name" : "Tratamento de dados", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inovação" }, { "name" : "Adaptação" } ], "majorSkills" : "Machine learning, Arquitetura agêntica, Agentes produção", "majorSkillsList" : [ "Machine learning", "Arquitetura agêntica", "Agentes produção" ], "coreResponsibilities" : "Liderar tecnicamente a área de machine learning, Construir arquitetura agêntica do zero, Colaborar com a equipe de engenharia de software, Desenvolver estrutura para gerenciamento de investimento promocional, Implementar guardrails para agentes produção, Implementar monitoramento para agentes produção, Implementar gestão de riscos para agentes produção, Assegurar baixa latência nos sistemas, Assegurar alta responsividade nos sistemas, Implementar fallbacks nos sistemas, Gerenciar complexidade de agentes ambientes de alto volume", "teamCollaboration" : "Equipe de engenharia de software", "domainKnowledge" : "Sistemas financeiros; Grandes chatbots", "domainList" : [ "sistemas-financeiros", "grandes-chatbots" ], "domainSpecificKnowledge" : [ "Sistemas financeiros", "Grandes chatbots" ], "toolProficiency" : [ "Lang Graph", "Amazon stack", "Databricks" ], "innovationCreativity" : "Inovação", "problemSolvingSkills" : "Resolução de problemas complexos", "qualificationsBasic" : "Experiência significativa na construção de agentes produção e larga escala, Conhecimento profundo Lang Graph, Conhecimento profundo stack da Amazon, Conhecimento profundo Databricks, Domínio do idioma inglês, Habilidade tradicional modelagem e tratamento de dados", "qualificationsPreferred" : "Vivência ambientes de alta complexidade e responsabilidade, Vivência sistemas financeiros, Vivência grandes chatbots, Flexibilidade e aderência à cultura do iFood, Forte habilidade resolução de problemas complexos, Forte habilidade gestão de múltiplas tarefas", "rawDescription" : "Nosso Modo de Fazer no Time: Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante. Seu Cardápio Diário: - Liderar tecnicamente a área de machine learning, focando na construção de uma arquitetura agêntica do zero. - Colaborar com a equipe de engenharia de software para desenvolver a estrutura necessária para o gerenciamento do investimento promocional. - Implementar guardrails, monitoramento e gestão de riscos para agentes em produçã o. - Assegurar baixa latência, alta responsividade e implementação de fallbacks nos sistemas. - Gerenciar a complexidade de agentes em ambientes de alto volume de consumo. Ingredientes Que Buscamos: - Experiência significativa na construção de agentes em produção e em larga escala, como grandes chatbots. - Conhecimento profundo em Lang Graph, stack da Amazon e Databricks. - Domínio do idioma inglê s. - Habilidade tradicional em modelagem e tratamento de dados. - Capacidade de adaptação e inovação em projetos novos e desafiadores. Para Realçar o Sabor: - Vivência em ambientes de alta complexidade e responsabilidade, especialmente em sistemas financeiros ou grandes chatbots. - Flexibilidade e aderência à cultura do iFood. - Forte habilidade em resolução de problemas complexos e gestão de múltiplas tarefas. Buscamos uma pessoa apaixonada por inovação e tecnologia, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!", "summaryDescription" : "Data Scientist 5 at iFood. Skills: Machine learning, Arquitetura agêntica, Agentes produção. Liderar tecnicamente a área de machine learning. Construir arquitetura agêntica do zero", "postedDate" : "2026-06-15T23:15:34.641", "createdAt" : "2026-06-15T23:15:34.641", "lastUpdated" : "2026-06-16T07:17:55.528", "ingestTimestamp" : "2026-06-15T23:15:34.641", "mongoId" : "6a30511cf292fd229cefa999", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Machine learning", "Arquitetura agêntica", "Monitoramento de agentes", "Gestão de riscos", "Baixa latência", "Alta responsividade", "Implementação de fallbacks", "Gerenciamento de complexidade", "Modelagem de dados", "Tratamento de dados", "Inovação", "Adaptação", "Agentes produção", "Sistemas financeiros", "Grandes chatbots", "Lang Graph", "Amazon stack", "Databricks" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3086bdf292fd229c082edc", "title" : "Senior Data Scientist", "company" : "Teads", "industry" : "Media", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in Ljubljana, Slovenia, adjusted for the technology industry and senior experience level." }, "location" : "Ljubljana", "locations" : [ "Ljubljana", "Paris" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:23:18.386", "fingerprint" : "47ef5bfcbc5879be9dd3f1884ea823b705391473c3b0818f7055713fcee9e7a4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/teads1/jobs/4898147101", "externalId" : "4898147101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ljubljana", "country" : "Slovenia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "46.0500268,14.5069289" } ], "locationText" : "Ljubljana, Slovenia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Scala, TypeScript, Python, SQL, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, ML Studio", "professionalSkills" : [ "Predictive modeling", "Online learning", "High-dimensional embeddings", "Scientific methodology", "Model implementation" ], "hardSkillsList" : [ "CTR prediction", "Online learning regimes", "High-dimensional embeddings", "Model implementation" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "CTR prediction", "level" : "intermediate" }, { "name" : "Online learning regimes", "level" : "intermediate" }, { "name" : "High-dimensional embeddings", "level" : "intermediate" }, { "name" : "Model implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data Science, Machine Learning, AI, AdTech research", "majorSkillsList" : [ "Data Science", "Machine Learning", "AI", "AdTech research" ], "coreResponsibilities" : "Innovate at scale, Stay at forefront of AdTech research, Focus on CTR prediction, Focus on online learning regimes, Focus on high-dimensional embeddings, Design models, Understand model fit into code stack, Dismantle scientific paper, Critique methodology, Implement core findings, Explain transformer-based ranking system", "teamCollaboration" : "Applied research team; AI department; Product teams", "domainKnowledge" : "AdTech; Online advertising; Campaign outcomes; Prediction systems; Control systems; Online trained models", "domainList" : [ "adtech", "online-advertising", "campaign-outcomes", "prediction-systems", "control-systems", "online-trained-models" ], "domainSpecificKnowledge" : [ "AdTech", "Online advertising", "Campaign outcomes", "Prediction systems", "Control systems", "Online trained models" ], "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Explain complex concepts", "continuousLearning" : "In-house training; External training; Internal mobility", "innovationCreativity" : "Innovate at Scale", "problemSolvingSkills" : "Critical Thinking; Critique methodology; Implement core findings", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Teads Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries. For more information, visit www.teads.com. Our main Engineering challenges at Teads Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies. Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others. Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge Work in an international environment with offices located in Israel, Slovenia and France. About the opportunity We are looking for a Senior Data Scientist to join a team of applied research. The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers. The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B. Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes. What will you do? As a Data Scientist, your mission will be to: Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings. Bridge Research you don’t just design models, you understand how they fit into the code stack. Critical Thinking: The ability to dismantle a scientific paper, critique its methodology, and implement its core findings effectively. Communication: A knack for making the complex simple. You can explain a transformer-based ranking system to a peer or a product manager with equal clarity. Please submit your CV in English. We care about you Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility … Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office) Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. #LI-Hybrid Life at Teads At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies. As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out: We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web. As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning. Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role. Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.", "summaryDescription" : "Senior Data Scientist at Teads. Skills: Data Science, Machine Learning, AI, AdTech research. Innovate at scale. Stay at forefront of AdTech research", "postedDate" : "2026-06-16T01:22:02.308", "createdAt" : "2026-06-16T01:22:02.308", "lastUpdated" : "2026-06-16T11:23:18.386", "ingestTimestamp" : "2026-06-16T01:22:02.308", "mongoId" : "6a3086bdf292fd229c082edc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "CTR prediction", "Online learning regimes", "High-dimensional embeddings", "Model implementation", "Critical thinking", "Data Science", "Machine Learning", "AI", "AdTech research", "Predictive modeling", "Online learning", "Scientific methodology", "AdTech", "Online advertising", "Campaign outcomes", "Prediction systems", "Control systems", "Online trained models", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a36", "title" : "Senior Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida" ], "timestamp" : "2026-06-16T09:41:18.078", "fingerprint" : "90d8c2b2f42e7daa826e6f904c86b279a91b0b8126f33d1e8f41f58dab8af56f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/b0db6399-5528-4edd-8bb5-f32dd38a5ad5/application", "externalId" : "b0db6399-5528-4edd-8bb5-f32dd38a5ad5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Clickhouse, Metabase, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Experiment design" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "qualificationsBasic" : "4+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai", "createdAt" : "2026-06-16T00:32:14.256", "lastUpdated" : "2026-06-16T09:41:18.078", "ingestTimestamp" : "2026-06-16T00:32:14.256", "mongoId" : "6a305930f292fd229cf45a36", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Experiment design", "First principles thinker", "Direct communicator", "Owner", "First principles thinking", "Analytical ability", "Problem solving", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a37", "title" : "Senior Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T12:30:15.364", "fingerprint" : "2764fbc210379a384b9577a21ad343ac8e54373b858d3bd41177afbd71b16d87", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/ac416a08-b8ee-456d-a0ff-5f72562fedfe/application", "externalId" : "ac416a08-b8ee-456d-a0ff-5f72562fedfe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Experiment design", "Metric definition" ], "softSkillsList" : [ "First principles thinker", "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "First principles thinker" }, { "name" : "Direct communicator" }, { "name" : "Owner" } ], "coreResponsibilities" : "Define the right problems, Understand business questions, Inform decision-making, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Drive outcomes", "toolProficiency" : [ "Clickhouse", "Metabase" ], "qualificationsBasic" : "4+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Data Scientist at Jerry.ai. Define the right problems. Understand business questions", "createdAt" : "2026-06-16T00:31:50.323", "lastUpdated" : "2026-06-16T12:30:15.364", "ingestTimestamp" : "2026-06-16T00:31:50.323", "mongoId" : "6a305930f292fd229cf45a37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Experiment design", "Metric definition", "First principles thinker", "Direct communicator", "Owner", "First principles thinking", "Analytical ability", "Problem solving", "Clickhouse", "Metabase" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "stage septembre 2026 business data scientist marketing effectiveness h f n jobs", "metadata" : { "title" : "stage septembre 2026 business data scientist marketing effectiveness h f n" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 75232, "totalPages" : 1505, "hasNext" : true, "hasPrevious" : false } }

Remote Stage Septembre 2026 Business Data Scientist Marketing Effectiveness H F N Jobs

Top Skills

Business Data Scientist, Marketing

Stage Septembre 2026 Business Data Scientist - Marketing effectiveness(H/F/N)

Data Scientist Confirmé - H/F

Data Scientist Confirmé - H/F

STAGE QHSE F/H

STAGE QHSE F/H

Data Scientist, Marketing

Staff Data Scientist, Marketing

Online Marketing Stage

Assistant(e) Trade Marketing - Stage 6 Mois - F/H

Stage assistant administratif formation H/F

Stage - Assistant Gestion de Projet Communication et Marketing (H/F)

Stage Commis de Cuisine (H/F)

Contrôleur de gestion H. F - Stage

Business and Marketing Data Scientist, Applied Machine Learning

Stage Photographe H/F

Stage Consultant Média F/H

Data Scientist

Markets Data Scientist

Stage Graphiste H/F

Marketing Effectiveness Manager

2026-7979 Data Scientist-Mid (Midshift)

2026-7979 Data Scientist-Mid (Midshift)

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Stage chargé de recrutement H/F

Data scientist F/H

Data Scientist

Data Scientist

Stage - Business Analyst Achats

Stage - Business Analyst Achats

Product Owner Data H/F

Data Analyst Confirmé H/F

Data Analyst Confirmé H/F

Senior Data Scientist

Acheteur Indirect – Marketing & Business Services (h/f/nb) – CDI

Acheteur Indirect – Marketing & Business Services (h/f/nb) – CDI

Senior Data Scientist - Data Hub Sales (m/f/d)

Staff Data Scientist

Business Analyst Payments - H/F

Business Analyst Payments - H/F

Senior Data Scientist

Data Scientist 5

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Related Searches

All Stage Septembre 2026 Business Data Scientist Marketing Effectiveness H F N Jobs by City

More Remote Jobs

Common Questions