{ "count" : 39389, "data" : [ { "id" : "68c2e426f8b1b0376634c663", "title" : "Senior Data Scientist, Model Customization", "company" : "AWS EMEA SARL (UK Branch)", "industry" : "Data Science, Science, Cloud Computing", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in London, UK, adjusted for technology industry and company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T04:32:32.761", "fingerprint" : "0cda584fa3033d90a0b523a6bed8c9efbb83cd75f52ed046ddf9ed779b69e554", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076888/apply", "externalId" : "9eabe72c-725c-499d-96df-6fa18a870c38", "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" : "Senior", "technicalSkills" : "Generative AI, Machine Learning, Python, AWS, Amazon Bedrock, Amazon SageMaker, Large Language Model, LangChain, LlamaIndex", "professionalSkills" : [ "Model Customization", "Generative AI solutions", "Client engagement" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "Deep learning", "Machine learning", "Model evaluation", "Prompt engineering" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Model Customization", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Model Customization" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects to research,, Interact with customers directly to understand their business, Aid customers in implementation of generative AI solutions, Brief customers on adoption patterns and paths to, Create and deliver best practice recommendations, Create tutorials, Create blog posts, Create sample code, Create presentations adapted to technical, business, and executive, Provide customer and market feedback to product and, Design and run experiments, Research new algorithms, Find new ways of optimizing risk, profitability, and, Design generative AI solutions, Evangelize generative AI solutions, Implement state-of-the-art solutions", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "toolProficiency" : [ "Python", "Amazon Bedrock", "Amazon SageMaker", "LangChain", "LlamaIndex" ], "communicationSkills" : "Customer presentations; Executive presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code", "innovationCreativity" : "Innovate in a fast-paced organization; Game-changing projects; New ways of optimizing risk, profitability, and customer experience; State-of-the-art solutions for never-before-solved problems", "problemSolvingSkills" : "Solve real world problems; Navigate technical or business challenges; Optimize risk, profitability, and customer experience", "qualificationsBasic" : "Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience, 2+ years of hands-on experience with generative AI technology, 5+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, 5+ years of hands on experience with Python to build, train, and evaluate models, 4+ years of technical client engagement experience", "qualificationsPreferred" : "Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker, Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches, Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs, Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/or similar tools, Hands on experience building cloud applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Data Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder • Provide customer and market feedback to product and engineering teams to help define product direction About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience - 2+ years of hands-on experience with generative AI technology - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - 5+ years of hands on experience with Python to build, train, and evaluate models - 4+ years of technical client engagement experience Preferred Qualifications: - Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches - Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs - Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools - Hands on experience building cloud applications Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Data Scientist, Model Customization at AWS EMEA SARL (UK Branch). Skills: Generative AI, Machine Learning, Model Customization. Collaborate with AI/ML scientists and architects to research,. Interact with customers directly to understand their business", "postedDate" : "2026-06-13T15:23:26.214", "createdAt" : "2026-06-13T15:23:26.214", "lastUpdated" : "2026-06-15T04:32:32.761", "ingestTimestamp" : "2026-06-13T15:23:26.214", "mongoId" : "68c2e426f8b1b0376634c663", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076888/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Algorithms", "Data structures", "Numerical optimization", "Data mining", "Distributed computing", "Deep learning", "Machine learning", "Model evaluation", "Prompt engineering", "Generative AI", "Machine Learning", "Model Customization", "Generative AI solutions", "Client engagement", "Large Language Models", "Python", "Amazon Bedrock", "Amazon SageMaker", "LangChain", "LlamaIndex" ], "skillCount" : 20, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c7bad74d8ee00a094aa82", "title" : "Senior Research Scientist, Foundation Model for Simulation", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 204000.0, "max" : 259000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T13:11:08.568", "fingerprint" : "e41ee7c0329fabf2e7a25e5b6f7d0c878fe3bdf192a60b15a477e1e385768d95", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=8003587", "externalId" : "8003587", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, JAX, TensorFlow, Pytorch, Deep learning, Generative modeling, LLMs, VLMs", "professionalSkills" : [ "Behavior modeling", "Agent modeling", "Simulation modeling" ], "hardSkillsList" : [ "Deep learning", "Generative modeling", "LLMs", "VLMs", "Reinforcement learning", "Distillation", "Transformer models", "Autoencoders", "Embeddings" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Generative modeling", "level" : "intermediate" }, { "name" : "LLMs", "level" : "intermediate" }, { "name" : "VLMs", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Distillation", "level" : "intermediate" }, { "name" : "Transformer models", "level" : "intermediate" }, { "name" : "Autoencoders", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" } ], "majorSkills" : "Foundation model research, Deep learning models, Generative modeling", "majorSkillsList" : [ "Foundation model research", "Deep learning models", "Generative modeling" ], "coreResponsibilities" : "Conduct research and development, Design experiments, Train deep learning models, Evaluate deep learning models, Present results to peers, Present results to leadership, Write high quality code, Write unit tests, Write documentation", "teamCollaboration" : "Collaborations with other research teams", "domainKnowledge" : "Autonomous driving; Behavior modeling; Agent modeling; Simulation", "domainList" : [ "autonomous-driving", "behavior-modeling", "agent-modeling", "simulation" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Behavior modeling", "Agent modeling", "Simulation" ], "communicationSkills" : "Present results", "documentationSkills" : "Documentation", "innovationCreativity" : "Applied research", "problemSolvingSkills" : "Open problems", "qualificationsBasic" : "Masters or PhD, Proficiency in Python, 3+ years deep learning frameworks, Experience generative modeling LLMs VLMs", "qualificationsPreferred" : "JAX or TensorFlow 2, Pytorch acceptable, Post-training experience, Reinforcement learning experience, Distillation experience, Transformer models experience, Autoencoders experience, Embeddings experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. In this hybrid role you will report to a Technical Lead Manager. You will: Conduct applied foundation model research and development Design compelling experiments by training and evaluating large deep learning models Present results to peers and leadership Write high quality code, unit tests, and documentation You have: Masters or PhD in deep learning in behavior and agent modeling or simulation Proficiency in Python 3+ years of experience with modern deep learning frameworks. Prefer JAX or TensorFlow 2; however, Pytorch is acceptable. Experience in generative modeling and LLMs or VLMs (e.g., Gemini, Llama, GPT) We prefer: Experience with: Post-training, incl. reinforcement learning Distillation Transformer models Autoencoders and embeddings The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD", "summaryDescription" : "Senior Research Scientist, Foundation Model for Simulation at Waymo. Skills: Foundation model research, Deep learning models, Generative modeling. Conduct research and development. Design experiments", "postedDate" : "2026-06-14T03:02:39.670", "createdAt" : "2026-06-14T03:02:39.670", "lastUpdated" : "2026-06-15T13:11:08.568", "ingestTimestamp" : "2026-06-14T03:02:39.670", "mongoId" : "6a2c7bad74d8ee00a094aa82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 204000, "salaryAnnualMax" : 259000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Deep learning", "Generative modeling", "LLMs", "VLMs", "Reinforcement learning", "Distillation", "Transformer models", "Autoencoders", "Embeddings", "Foundation model research", "Deep learning models", "Behavior modeling", "Agent modeling", "Simulation modeling", "Autonomous driving", "Simulation" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7da574d8ee00a095046f", "title" : "Senior, Technical Product Manager - Requirements and Safety", "company" : "Torc Robotics", "industry" : "Technology", "salary" : { "min" : 177300.0, "max" : 212800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ann Arbor, Michigan, United States", "locations" : [ "Ann Arbor", "Michigan", "United States" ], "timestamp" : "2026-06-16T03:11:24.449", "fingerprint" : "c6a670f64ff80179671c7669177b471baa669e8fd81b9305cf85ca9f7ad1e18c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/torcrobotics/jobs/8584751002", "externalId" : "8584751002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ann Arbor", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2813722,-83.7484616" } ], "locationText" : "Ann Arbor, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Software design, Systems design", "professionalSkills" : [ "Program management", "Engineering expertise" ], "hardSkillsList" : [ "Requirements management", "Acceptance criteria definition", "Risk management", "Change management" ], "softSkillsList" : [ "Active listening", "Negotiation", "Prioritization" ], "hardSkills" : [ { "name" : "Requirements management", "level" : "intermediate" }, { "name" : "Acceptance criteria definition", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Change management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Active listening" }, { "name" : "Negotiation" }, { "name" : "Prioritization" } ], "majorSkills" : "Requirements, Safety, Product roadmap", "majorSkillsList" : [ "Requirements", "Safety", "Product roadmap" ], "coreResponsibilities" : "Identify workstream needs, Prioritize workstream needs, Ensure timely design, Ensure timely implementation, Represent areas to build plans, Define acceptance criteria, Verify acceptance criteria, Drive alignment, Deliver workstream outcomes, Reconcile gaps in timelines, Focus leadership attention, Address dependencies, Address risks, Address change management, Inform priorities, Support engineering, Report status to leadership, Initiate escalations, Drive timely execution", "teamCollaboration" : "Cross-functional coordination; Cross-functional plans; Engineering leaders; Other TPMs", "projectManagementSkills" : [ "Program management", "Roadmap management", "Change management" ], "domainKnowledge" : "Autonomous vehicles; Robotics; Automotive; E/E systems; Safety standards", "domainList" : [ "autonomous-vehicles", "robotics", "automotive", "e-e-systems", "safety-standards" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Robotics", "Automotive", "E/E systems", "Safety standards" ], "toolProficiency" : [ "Jira", "Confluence", "Miro" ], "communicationSkills" : "Clear communications; Concise communications; Tailored communications", "problemSolvingSkills" : "Risk management; Dependency management", "outcomesObjectives" : "Deliver corporate milestones; Achieve company goals", "qualificationsBasic" : "6+ years Product Manager experience, 6+ years Technical Product Manager experience, 6+ years Technical Program Manager experience, Bachelor's Degree in technical field, Master's Degree in technical field", "qualificationsPreferred" : "Experience in Autonomous Vehicle Industry, Experience designing to safety standards, Experience releasing to safety standards, Experience integrating safety case, Experience integrating requirements, Experience integrating acceptance criteria, Experience leading team to production launch", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Torc: At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team:  The Technical Product Management (TPM) Team drives alignment through a technology roadmap, accelerating our corporate milestones by focusing our development teams on the most critical items on our path to a milestone. We do this through cross-functional coordination with all teams in technology: driving decisions, defining measurable acceptance criteria, and building shared accountability with stakeholders to agree on deliverables and timelines. We collaborate with other TPMs to manage dependencies to deliver corporate milestones. By rallying ourselves around a plan, TPMs will predict outcomes before they happen: unblocking dependencies in advance, managing risk proactively, and anticipating resource or staffing gaps to accomplish our goals. As our plans or goals update, TPMs leverage best practices around change management, further driving alignment, decision making, and documentation across Torc. Lastly, we partner with engineering teams to maintain accountability, providing clear updates and shared action items that help everyone stay informed on the health of our technology roadmap. What You'll Do:  As a Technical Product Manager leading Requirements and Safety workstreams, you will serve as a conduit between the needs of Engineering, Safety, and other critical functions. You will demonstrate the following with proficiency: Identify and prioritize the needs for these workstreams and work with other TPMs and engineering leaders to ensure timely design and implementation into E/E systems. Represent these areas to build cross-functional plans, define and verify acceptance criteria, drive alignment, and deliver these workstream's Outcomes on the Technology Roadmap to enable critical product milestones. Vigilantly work to reconcile gaps in timelines, focus leadership attention, and proactively address dependencies, risks, and change management. You will leverage this roadmap, partnering with other TPMs and engineering leadership to inform the short and long-term priorities of these workstreams to support engineering in advancing our company’s milestones. Apply best practices in program management and engineering expertise to report status to leadership, initiate escalations, drive timely execution on the Technology Roadmap including its dependencies, risks, and changes.  What You'll Need to Succeed:  6+ years of experience as a Product Manager, Technical Product Manager, or Technical Program Manager in autonomous vehicles, robotics, automotive, or similar industries. Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR; Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience A strong track record of driving execution of cross-functional programs and communicating with technical and non-technical stakeholders Experience managing a cross-functional roadmap, including the dependencies, risks, and change management Strong active listening, negotiation, and prioritization skills Ability to provide clear, well-structured, and concise communications tailored to different audiences The desire to grow your technical and program skillsets in an ever-evolving industry Bonus Points! Experience in the Autonomous Vehicle Industry Experience designing and releasing to safety standards Experience integrating safety case, requirements, and acceptance criteria into Systems and SW design Experience leading a team to a production launch Experience with project management and collaboration tools such as Jira, Confluence, and Miro Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:   A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees   401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) Company-wide holiday office closures AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Job ID: R-102766 Hiring Range for Job Opening US Pay Range $177,300—$212,800 USD", "summaryDescription" : "Senior, Technical Product Manager - Requirements and Safety at Torc Robotics. Skills: Requirements, Safety, Product roadmap. Identify workstream needs. Prioritize workstream needs", "postedDate" : "2026-06-14T20:02:09.398", "createdAt" : "2026-06-14T20:02:09.398", "lastUpdated" : "2026-06-16T03:11:24.449", "ingestTimestamp" : "2026-06-14T20:02:09.398", "mongoId" : "6a2c7da574d8ee00a095046f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 177300, "salaryAnnualMax" : 212800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Requirements management", "Acceptance criteria definition", "Risk management", "Change management", "Active listening", "Negotiation", "Prioritization", "Requirements", "Safety", "Product roadmap", "Program management", "Engineering expertise", "Roadmap management", "Autonomous vehicles", "Robotics", "Automotive", "E/E systems", "Safety standards", "Jira", "Confluence", "Miro" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7aa474d8ee00a09462f0", "title" : "Senior Research Associate, Translational", "company" : "Mirai Bio, Inc.", "industry" : "Biotech", "salary" : { "min" : 81000.0, "max" : 107300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mirai Bio", "locations" : [ "Mirai Bio" ], "timestamp" : "2026-06-15T08:45:33.641", "fingerprint" : "787bfcd589a8d1d78b6cd1efa1c35905a8a7a7d2ed9c8bfcb58b8a6e9228c567", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/miraibio/jobs/8587002002", "externalId" : "8587002002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Flow cytometry, Mammalian cell culture, ELISAs, Plate-based reporter assays, Cell killing assays, Transfection, Protein binding assays", "professionalSkills" : [ "Assay development", "Method optimization", "Literature searches" ], "hardSkillsList" : [ "Sample processing", "Cell isolation" ], "softSkillsList" : [ "Problem solving", "Presentation" ], "hardSkills" : [ { "name" : "Sample processing", "level" : "intermediate" }, { "name" : "Cell isolation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solving" }, { "name" : "Presentation" } ], "majorSkills" : "Translational research, Genetic medicines, In vitro bio-assays", "majorSkillsList" : [ "Translational research", "Genetic medicines", "In vitro bio-assays" ], "coreResponsibilities" : "Perform experiments, Process mouse and NHP samples, Develop new in vitro bio-assays, Optimize existing bio-assays, Analyze assay results, Document assay results", "teamCollaboration" : "Collaborative team; Cross-functionally with teams; Highly skilled teams", "domainKnowledge" : "Genetic medicines; Nucleic acid payloads; Lipid nanoparticle optimization; Targeted particle design; In vivo biodistribution", "domainList" : [ "genetic-medicines", "nucleic-acid-payloads", "lipid-nanoparticle-optimization", "targeted-particle-design", "in-vivo-biodistribution" ], "domainSpecificKnowledge" : [ "Genetic medicines", "Nucleic acid payloads", "Lipid nanoparticle optimization", "Targeted particle design", "In vivo biodistribution" ], "toolProficiency" : [ "Octet instruments" ], "communicationSkills" : "Conveying technical information", "documentationSkills" : "Technical reporting", "problemSolvingSkills" : "Problem-solving skills; Troubleshooting assays", "specialRequirements" : "Handling NHP tissue samples, Handling mouse tissue samples", "qualificationsBasic" : "3+ years relevant experience, 5+ years relevant experience, M.S. or B.S. degree, Hands-on experience with cell culturing, In vitro cell biology techniques", "qualificationsPreferred" : "Knowledge of immunology, Experience working with LNPs, Performing BLI on octet instruments", "workSiteFlexibility" : "Onsite", "rawDescription" : "COMPANY DESCRIPTION Mirai Bio is a privately-held, Flagship-founded biotechnology company that is delivering genetic medicines from promise to performance. Mirai was built to solve one of the field’s central challenges: achieving precise, scalable delivery of diverse nucleic acid payloads to specific cells and tissues, particularly beyond the liver. By combining a large and growing proprietary in vivo biodistribution dataset, machine learning-guided lipid nanoparticle optimization, modular targeted particle design, and integrated translation and manufacturing capabilities, Mirai helps partners accelerate development, reduce technical risk, and pursue high-value programs making delivery a strategic advantage. We are seeking collaborative, relentless problem solvers that share our passion for defining the future of genetic medicines together. THE ROLE The Senior Research Associate will be part of the Platform Group at Mirai and will support laboratory research activities towards development of novel technologies enabling next generation genomic medicines. The successful candidate will have a strong understanding of the technical and equipment needs in a lab as well as significant hands-on experience with standard and cell culturing and in vitro cell biology techniques. They will work independently and as part of a collaborative team. KEY RESPONSIBILITIES Independently perform experiments related to in vivo and in vitro LNP using lab techniques that include flow cytometry, mammalian cell culture, mouse and NHP sample processing, cell isolation, ELISAs, plate-based reporter assays, cell killing assays, transfection, and protein binding assays Develop new in vitro bio-assays or optimize existing ones based on in-depth knowledge of laboratory techniques Analyze and accurately document assay results in an electronic lab notebook or other technical reporting formats PROFESSIONAL EXPERIENCE & QUALIFICATIONS M. S. or B. S. in Biology, Biochemistry, Molecular Biology, or related field with 3+ years (M.S.) or 5+ years(B.S.) of relevant experience Previous experience with immune cell isolation and flow cytometry characterization is required Comfort with handling and processing NHP & Mouse tissue samples Strong primary and cell line culture experience, including experience executing protocols, troubleshooting assays, and carrying out literature searches for method evaluation and refinement Knowledge of immunology, experience working with LNPs, and familiarity with performing BLI on octet instruments is a plus Proven ability to work independently and cross-functionally with highly skilled teams in a fast-paced, entrepreneurial, and technical environment Strong organizational and problem-solving skills Motivated, curious, and comfortable working with highly technical projects and personnel Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner Comfortable delivering against challenging commitments WHAT WE VALUE Scientific rigor and attention to data quality and reproducibility Curiosity and a problem-solving mindset Ability to work both independently and collaboratively in a fast-paced environment Clear and concise communication across disciplines Ownership and accountability in driving projects forward LOCATION: Cambridge, MA ABOUT FLAGSHIP PIONEERING: Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact. We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. #LI-TL1 The salary range for this role is $81,000 - $107,300. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Mirai Bio currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Mirai Bio's good faith estimate as of the date of publication and may be modified in the future. Privacy Notice for Applicants: When you apply for a role at Mirai Bio, Inc., a Flagship Pioneering portfolio company, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.", "summaryDescription" : "Senior Research Associate, Translational at Mirai Bio, Inc.. Skills: Translational research, Genetic medicines, In vitro bio-assays. Perform experiments. Process mouse and NHP samples", "postedDate" : "2026-06-14T08:33:32.537", "createdAt" : "2026-06-14T08:33:32.537", "lastUpdated" : "2026-06-15T08:45:33.641", "ingestTimestamp" : "2026-06-14T08:33:32.537", "mongoId" : "6a2c7aa474d8ee00a09462f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 81000, "salaryAnnualMax" : 107300, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Sample processing", "Cell isolation", "Problem solving", "Presentation", "Translational research", "Genetic medicines", "In vitro bio-assays", "Assay development", "Method optimization", "Literature searches", "Nucleic acid payloads", "Lipid nanoparticle optimization", "Targeted particle design", "In vivo biodistribution", "Octet instruments" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6af474d8ee00a090f764", "title" : "Data modeler", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Modeler in Pune, India, adjusted for Seniority and Consulting industry." }, "location" : "India - Bengaluru", "locations" : [ "India - Bengaluru", "India - Gurugram", "India - Hyderabad", "India - Pune" ], "timestamp" : "2026-06-15T12:29:02.759", "fingerprint" : "1b0f0a3b206715cb16550a4fd7860316f5dc7a792ab34dcf2ae07619360a89c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8000334", "externalId" : "8000334", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" }, { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" }, { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Pune, Maharashtra, India; Hyderabad, Telangana, India; Bangalore, Karnataka, India", "experienceMinYears" : 8, "experienceMaxYears" : 12, "experienceLevel" : "Senior", "technicalSkills" : "SQL, GCP Big Query", "professionalSkills" : [ "Data modeling", "Metadata management", "Stakeholder management" ], "hardSkillsList" : [ "Data governance", "SDLC", "Agile methodologies" ], "softSkillsList" : [ "Problem solver", "Solution-seeking" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "SDLC", "level" : "intermediate" }, { "name" : "Agile methodologies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem solver" }, { "name" : "Solution-seeking" } ], "majorSkills" : "Data modeling, Metadata management", "majorSkillsList" : [ "Data modeling", "Metadata management" ], "teamCollaboration" : "Business teams; Technical teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Financial domain", "domainList" : [ "financial-domain" ], "domainSpecificKnowledge" : [ "Financial domain" ], "toolProficiency" : [ "Erwin", "Visual Paradigm", "MS-Office" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "Metadata management", "problemSolvingSkills" : "Problem solver; Solution-seeking", "qualificationsBasic" : "Data Modeling experience 8-12 years, Financial domain experience, SQL proficiency, SDLC understanding, Agile methodologies understanding", "qualificationsPreferred" : "Visual Paradigm", "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: Data modeler About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Number of Positions: 1 Job Location: Pune, Hyderabad, Bangalore Strong Data Modeling experience of 8-12 years. Strong financial domain experience. Comprehensive understanding of the Data Modeling (conceptual, logical, and physical), create and deliver high-quality data models, by following agreed data governance and standards. Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid. Should be an individual contributor with good understanding of the SDLC & Agile methodologies. A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast-paced and continuously changing environment. Excellent communication & stakeholder management skills and should be capable of building rapport and relationships. Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects. Other Skills & Tools: SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable).", "summaryDescription" : "Data modeler at Capco. Skills: Data modeling, Metadata management", "postedDate" : "2026-06-14T09:34:01.299", "createdAt" : "2026-06-14T09:34:01.299", "lastUpdated" : "2026-06-15T12:29:02.759", "ingestTimestamp" : "2026-06-14T09:34:01.299", "mongoId" : "6a2c6af474d8ee00a090f764", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data governance", "SDLC", "Agile methodologies", "Problem solver", "Solution-seeking", "Data modeling", "Metadata management", "Stakeholder management", "Financial domain", "Erwin", "Visual Paradigm", "MS-Office" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2af57374d8ee00a073a33a", "title" : "Requirements/Documentation Analyst", "company" : "Guidehouse", "salary" : { "min" : 98000.0, "max" : 163000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US - VA, McLean", "locations" : [ "US - VA, McLean", "United States of America" ], "timestamp" : "2026-06-14T23:27:28.039", "fingerprint" : "20d610901004599fffe3be88efe0747785bcf2fd6c966e9c94816ba782eaeeda", "source" : "workday", "language" : "en", "applyUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---VA-McLean/Requirements-Documentation-Analyst_39496", "externalId" : "39496", "locationPoint" : "40.31448,-89.16981", "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "professionalSkills" : [ "Project management" ], "hardSkillsList" : [ "Requirements documentation", "Requirements analysis", "Requirements tracking" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Requirements documentation", "level" : "intermediate" }, { "name" : "Requirements analysis", "level" : "intermediate" }, { "name" : "Requirements tracking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Requirements documentation, Requirements analysis", "majorSkillsList" : [ "Requirements documentation", "Requirements analysis" ], "coreResponsibilities" : "Document requirements, Analyze requirements, Translate contractual requirements, Track digitization vendor completion, Create written presentations, Brief requirements status", "teamCollaboration" : "Daily team stand-ups; Client-facing meetings", "projectManagementSkills" : [ "Agile software development", "Scrum Master" ], "toolProficiency" : [ "Microsoft Office suite" ], "communicationSkills" : "Client relationships", "documentationSkills" : "Requirements documentation", "specialRequirements" : "Ability to Obtain Public Trust", "qualificationsBasic" : "Federal or DoD \"PUBLIC TRUST\", Bachelor's degree or 4 years experience, 4 years experience documenting requirements", "qualificationsPreferred" : "Active PUBLIC TRUST or SUITABILITY", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**_Job Family_ :** IT Project Management ** _Travel Required_ :** None ** _Clearance Required_ :** Ability to Obtain Public Trust ** _What You Will Do_ :** * Be responsible for the requirements documentation and analysis project workstream * Support the Project Manager, Deputy Project Manager, Scrum Master, and Product Owner in translating contractual requirements into team or vendor activities/software development user stories * Support the Project Manager, Deputy Project Manager, Scrum Master, and Product Owner in translating contractual requirements into team activities/software development user stories * Support the Project Manager, Deputy Project Manager, and Digitization Lead in tracking the digitization vendor’s completion of contractual requirements * Document project requirements and create written presentations to report requirements status * Verbally brief requirements analysis workstream activity status at daily team stand-ups and client-facing meetings ** _What You Will Need_ :** * Must be able to OBTAIN and MAINTAIN a Federal or DoD \"PUBLIC TRUST\"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. * Bachelor’s degree or Additional FOUR (4) years experience in Lieu of Degree. * Minimum of FOUR (4) years of experience distilling, documenting, and tracking requirements for multi-work stream projects * Outstanding team collaboration skills and the ability to adapt to a dynamic consulting project environment * Excellent project management skills * The ability to clearly communicate requirements and acceptance criteria to non-technical clients/audiences and establish outstanding client relationships * Proficiency with Microsoft OfficeTM suite of productivity software tools ** _What Would Be Nice To Have_ :** * Excellent written and verbal communication skills * Familiarity with Agile software development methodologies * Experience using Atlassian software development project management tools Jira and Confluence The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. _**What We Offer:**_ Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Parental Leave * 401(k) Retirement Plan * Group Term Life and Travel Assistance * Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and Parking Commuter Benefits * Short-Term & Long-Term Disability * Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Care.com annual membership * Employee Assistance Program * Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) * Position may be eligible for a discretionary variable incentive bonus _**About Guidehouse**_ Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [RecruitingAccommodation@guidehouse.com](mailto:RecruitingAccommodation@guidehouse.com). All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [guidehouse@myworkday.com](mailto:guidehouse@myworkday.com). Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [recruiting@guidehouse.com](mailto:recruiting@guidehouse.com). Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. _Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._", "summaryDescription" : "Requirements/Documentation Analyst at Guidehouse. Skills: Requirements documentation, Requirements analysis. Document requirements. Analyze requirements", "postedDate" : "2026-06-12T02:24:20.411", "createdAt" : "2026-06-12T02:24:20.351", "lastUpdated" : "2026-06-14T23:27:28.039", "ingestTimestamp" : "2026-06-12T02:24:20.351", "mongoId" : "6a2af57374d8ee00a073a33a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---VA-McLean/Requirements-Documentation-Analyst_39496", "salaryAnnualMin" : 98000, "salaryAnnualMax" : 163000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Requirements documentation", "Requirements analysis", "Requirements tracking", "Adaptability", "Project management", "Agile software development", "Scrum Master", "Microsoft Office suite" ], "skillCount" : 8, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c9fae74d8ee00a09a04ce", "title" : "Step into the Hexa ecosystem", "company" : "Hexa", "industry" : "Hexa", "location" : "No Location", "locations" : [ "No Location" ], "timestamp" : "2026-06-16T02:17:11.193", "fingerprint" : "0e237cbdebdf64c78cf0edcecd0c4bc66bd32a384d24547744ba0ba6ab369a7c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hexa/b10a4d3a-1831-4634-bb47-8e818ce681d7/application", "externalId" : "b10a4d3a-1831-4634-bb47-8e818ce681d7", "industryFunction" : { }, "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "JOIN OUR NETWORK OF EXCEPTIONAL TALENT Be part of what's next at Hexa We want to know more about you! But before that, a bit of context about us. About Hexa Hexa started as eFounders in 2011 to rethink company creation: building alongside founders, not from the sidelines. We've built over 50 companies, including Aircall, Spendesk, Front, Swan, and Yousign, with a combined valuation of over $5 billion, and companies employing more than 2,600 talented people all around the world. Our hands-on model has proven successful. Now a leading multi-stage startup studio, we stay true to our DNA: founder-first and deeply involved, across AI, Future of Work, fintech, climate, defense and cybersecurity. Because when ambitious founders and teams come together, exceptional companies are born. To fulfill this incredible purpose, we're constantly looking for exceptional individuals. Whether you're planning on launching a top tier company or joining one, here's a simple and quick get-to-know-you form that will help us match you with the best opportunities from the Hexa family. Start a Company with us Partner with us for 12 months to build the foundations of a new category-defining company — and 10x your chances of success with our team as your co-founder. Join the Core Team The team that co-builds every startup we launch. You work across multiple ventures in parallel, embedded with founders from day one, across product, design, go-to-market, recruiting, finance, and legal. If you want to be at the heart of company creation, this is it. Join a Hexa venture early Every year, Hexa co-founds around 12 new startups. Joining one in its first months means taking a founding employee role: you build the product, shape the culture, and own a real stake in the outcome, with the full support of Hexa's Core Team behind you. Join a Hexa portfolio company Some of our startups are further along. They're scaling, hiring, and looking for strong profiles to help them grow. If you want the energy of a startup with more structure and traction already in place, this is the path. Your turn! :))", "summaryDescription" : "Step into the Hexa ecosystem at Hexa", "createdAt" : "2026-06-14T19:12:21.099", "lastUpdated" : "2026-06-16T02:17:11.193", "ingestTimestamp" : "2026-06-14T19:12:21.099", "mongoId" : "6a2c9fae74d8ee00a09a04ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "infrastructure", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2a9c7174d8ee00a06a1503", "title" : "Trans Voc Rehab Counselor (Clear Lake-Houston)", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 3582.0, "max" : 4940.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "827076", "locations" : [ "827076", "
Houston:18333 Egret Bay Blvd S (320TX-1609)
18333 Egret Bay Blvd Ste 590
Houston, 77058

" ], "certifications" : [ "CRC credentials", "LPC renewals" ], "timestamp" : "2026-06-15T09:03:35.938", "fingerprint" : "419de298281996395d0eb36bc5012a28336a74d86558baafe4eeb491a257e723", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=35221", "externalId" : "35221", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Case management" ], "hardSkillsList" : [ "Eligibility decision making" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Eligibility decision making", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Vocational rehabilitation, Transition services", "majorSkillsList" : [ "Vocational rehabilitation", "Transition services" ], "coreResponsibilities" : "Provide quality Transition Services, Develop and maintain relations, Collect and analyze information, Make an accurate eligibility decision, Assist students in choosing appropriate employment, Determine student's strengths, Match information to job market, Participate with local education agencies, Support students acquiring skills, Develop a plan of services, Achieve student’s identified employment goals, Provide opportunities for students to explore career options, Gain employment", "teamCollaboration" : "Community referral sources; Businesses; Employers; Schools; Local education agencies; Families of students", "domainKnowledge" : "Vocational Rehabilitation program; Individuals with disabilities; Transition students; Autism; Blind & Visual Impairments; Brain Injury; Foster Youth; Veterans", "domainList" : [ "vocational-rehabilitation-program", "individuals-with-disabilities", "transition-students", "autism", "blind-visual-impairments", "brain-injury", "foster-youth", "veterans" ], "domainSpecificKnowledge" : [ "Vocational Rehabilitation program", "Individuals with disabilities", "Transition students", "Autism", "Blind & Visual Impairments", "Brain Injury", "Foster Youth", "Veterans" ], "continuousLearning" : "Tuition assistance program; FREE CEUs; Reimbursement for CRC & LPC renewals", "specialRequirements" : "Up to 75% travel, Lift/carry 10 pounds", "outcomesObjectives" : "Prepare for employment; Obtain employment; Retain employment; Advance in employment; Achieve employment goals", "qualificationsBasic" : "1 year paid or unpaid experience working with people with disabilities, Master’s degree in Rehabilitation Counseling or CRC certificate or LPC credential", "qualificationsPreferred" : "Direct VR Counseling work experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "For Texas to be GREAT, we need the best and brightest talent like you! The public vocational rehabilitation (VR) program administered through the Texas Workforce Commission helps people with disabilities to prepare for, obtain, retain, and advance in employment. MAKE A DIFFERENCE AND HELP PEOPLE WITH VR According to the Department of Labor, the unemployment rate for people with disabilities was 12.6% in 2020. This jobless rate continues to be much higher than the rate for those without disabilities. PUBLIC SERVICE IN VR IS FOR YOU… -If you want to find meaningful work and contribute to a powerful mission. For more than 100 years VR has been helping individuals with disabilities achieve their employment goals! -If you are looking for career and advancement opportunities. 38% of employees in VR have 15+ years of seniority. There are various positions with career ladders and opportunities to specialize in areas of interest: Autism, Blind & Visual Impairments, Deaf & Hard of Hearing, Brain Injury, Foster Youth, Transition Students, Veterans. -If you need a comprehensive benefits package that offers competitive pay & benefits from health plans, life insurance, retirement programs, paid leave and holidays, and longevity pay. -If you have direct VR Counseling work experience, receive higher starting salary. -If you want to advance your education with our tuition assistance program. -FREE CEUs to maintain CRC credentials and reimbursement for CRC & LPC renewals. The Texas Workforce Commission (TWC), a Family Friendly Certified Workplace, is seeking a Transition Vocational Rehabilitation Counselor (TVRC) Trainee - Sr TVRC to join the Vocational Rehabilitation Department located at 18333 Egret Bay Blvd., Houston, TX. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Benefits to working for TWC include: - Competitive starting salary: $3,582.00 - $4,940.00/month. - Salary and position level will be based on experience and demonstrated skills. - This is a career ladder position which means each level is required to meet the established career ladder requirements in order to be promoted to the next level. - External hires will be brought in as TVRC Trainee upon hire and after a successful completion of the TVRC Trainee 6-month probationary period be considered for a promotion to TVRC I to include a 5% increase - Additional benefits for active employees: https://www.ers.texas.gov/Active-Employees/Health-Benefits. - The TVRC Trainee performs highly complex (senior-level) case management work in support of the mission, goals and values of the Texas Workforce Commission. - The TVRC I - Sr TVRC performs routine to senior-level vocational rehabilitation work in support of the mission, goals and values of the Texas Workforce Commission. TVRC Trainee to Sr TVRC applies critical thinking skills and sound decision making in performance of routine rehabilitation work in the Vocational Rehabilitation (VR) program. This program assists eligible individuals with disabilities to prepare for, retain, obtain and/or advance in competitive, integrated employment and includes assisting students with disabilities to transition successfully from high school to postsecondary education and employment. The ideal candidate will perform work using the applicable policy, guidance, and the electronic case management system. The TVRC is hired by the VR Supervisor with the approval of the VR Manager, and works independently, with moderate to minimal supervision by the VR Supervisor. GENERAL DUTIES: - Provides quality Transition Services to students with disabilities, including those who may be potentially eligible - Develops and maintains relations with community referral sources, businesses, employers and schools - Collects and analyzes all information necessary to make an accurate eligibility decision (e.g. medical, psychological, school records, employment records, etc.) - Assists students in choosing appropriate employment by analyzing information to determine the student's strengths, resources, priorities, concerns, abilities, capabilities and interests, and matching that information to the current job market - Participates with the local education agencies and families of students to support students acquiring the necessary academic skills, work skills, and life skills to be independent and successful - Works collaboratively with the student to develop a plan of services designed to achieve the student’s identified employment goals - Provides opportunities for students to explore career options and to gain employment experiences - Creates and maintains student records and performs case load management - Ensures timely, cost-effective provision of services and student progress toward eventual achievement of their employment goal - Develops and implements a process leading to the eventual successful job placement for students - Develops referral sources, maintains resource information, and obtains appropriate referrals to reach blind or visually impaired students - Works with the Regional Employment Assistance Specialists and / or Business Relation Specialists to build quality relationships with businesses in order to provide career exploration experiences for students - Applies best value purchasing practices and uses available comparable benefits and services to ensure effective use of public funds - Accounts for case service expenditures and delivery of services to maintain adherence to established funding/expenditure directives - May act as a Team Leader to assigned support staff for designated caseload - Participates in training activities conducted for staff development - Performs other duties as assigned PREFERRED QUALIFICATIONS: Master’s degree with major in Rehabilitation Counseling or Clinical Rehabilitation Counseling from an accredited college or university; OR master’s degree with major in counseling or related degrees such as Special Education, Social Work, Psychology, or Human Services from an accredited college or university plus one-year related work experience. OR Master’s degree with any other major plus two years related work experience; OR Bachelor’s degree with a major in vocational rehabilitation from an accredited college or university plus one-year related work experience; OR Bachelor’s degree with major in Counseling, Education, Social Work, Sociology, Psychology, or Public Health from an accredited college or university plus two years related work experience; OR Bachelor’s degree with any other major plus three years related work experience. MINIMUM QUALIFICATIONS: Bachelor's Degree in a field of study reasonably related to vocational rehabilitation, such as vocational rehabilitation counseling, social work, psychology, disability studies, business administration, human resources, special education, supported employment, customized employment, economics, or another field that reasonably prepares individuals to work with customers and employers. No experience required. All levels: Depending on required qualifications and experience, a Vocational Rehabilitation Counselor (VRC) vacancy may be filled at any level from a VRC Trainee to Sr VRC. Factors such as education, credentials, and previous experience with the agency will be considered when establishing the hiring level and starting salary. Experience as a Vocational Rehabilitation Counselor must be in accordance with the career ladder requirements of the agency. Related work experience is defined as case management, counseling, job placement and general knowledge of disabilities. Applicants selected who do not have a master’s degree in Rehabilitation Counseling or CRC certificate or LPC credential will be required to meet the CSPD educational requirements within a time frame established upon employment. This will entail taking specific courses that focus on the professional role of a Rehabilitation Counselor. When advancing from the VRC Trainee to the VRC I level, the individual must have 1 year of paid or unpaid experience working with people with disabilities. Copy of official transcripts, certifications and/or credentials will be requested at the time of interview. These positions involve up to 75% travel, and method of transportation is the responsibility of employee. Counselors are required to travel to reach their assigned consumers on a regular basis. Thus, travel is required for this position. Duties also include the ability to lift/carry 10 pounds. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: http://www.hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_SocialServices.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Houston", "summaryDescription" : "Trans Voc Rehab Counselor (Clear Lake-Houston) at Texas Workforce Commission. Skills: Vocational rehabilitation, Transition services. Provide quality Transition Services. 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With data analysts; With stakeholders; Team collaboration", "domainKnowledge" : "Data warehousing; Data integration; Data processing; Performance optimization", "domainList" : [ "data-warehousing", "data-integration", "data-processing", "performance-optimization" ], "domainSpecificKnowledge" : [ "Data warehousing", "Data integration", "Data processing", "Performance optimization" ], "toolProficiency" : [ "Apache Airflow", "AWS Glue", "Informatica" ], "documentationSkills" : "Document data processes; Document data workflows; Document data solutions", "continuousLearning" : "Stay updated with emerging technologies; Stay updated with best practices", "problemSolvingSkills" : "Troubleshoot and resolve data-related issues", "specialRequirements" : "On-site work four days a week, Active Top-Secret clearance", "outcomesObjectives" : "Support strategic decision-making; Support business operations; Deliver reliable back-end data solutions; Deliver scalable back-end data solutions; Ensure reliable processing; Ensure efficient processing; Ensure performance optimization; Ensure data integrity; Maintain high data quality; Maintain high data reliability; Ensure uninterrupted business operations", "qualificationsBasic" : "6 + years of data analysis experience, Proficiency in SQL, Experience with ETL tools, Experience with data orchestration tools, Familiarity with cloud platforms, Familiarity with AWS services, Knowledge of data warehousing, Knowledge of data integration techniques, Understanding of data processing, Understanding of performance optimization, Active Top-Secret clearance", "qualificationsPreferred" : "Bachelor's degree in Statistics, Bachelor's degree in Mathematics, Bachelor's degree in Computer Science, Bachelor's degree in Business Analytics, Experience with federal data modernization, Experience with federal analytics programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SMX is seeking a motivated and detail-oriented Data Analyst to join our team. This role focuses on creating and maintaining efficient data processing systems and pipelines to support strategic decision-making and business operations. The ideal candidate will work closely with cross-functional teams to deliver reliable and scalable back-end data solutions. This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D. C. An active Top-Secret clearance is mandatory. Key Responsibilities • Design, develop, and maintain data pipelines, integrating data from various sources to ensure reliable and efficient processing. • Implement ETL (Extract, Transform, Load) processes using tools such as Apache Airflow, AWS Glue, Informatica, or similar technologies. • Manage and optimize database operations, leveraging SQL and working with modern data warehousing platforms such as AWS Redshift. • Collaborate with data analysts and other stakeholders to understand data requirements and translate them into robust back-end solutions. • Create scalable and efficient data architectures, ensuring performance optimization and data integrity. • Conduct thorough testing and validation of data processes to maintain high data quality and reliability. • Troubleshoot and resolve data-related issues to ensure uninterrupted business operations. • Document data processes, workflows, and solutions for knowledge sharing and team collaboration. • Stay updated with emerging technologies and best practices in data engineering and development. Required Qualifications • 6 + years of data analysis experience • Proficiency in SQL and a strong understanding of database systems. • Experience with ETL and data orchestration tools such as Apache Airflow, AWS Glue, or Informatica. • Familiarity with cloud platforms and services, particularly AWS. • Knowledge of data warehousing and data integration techniques. • Strong understanding of data processing and performance optimization. Preferred Qualifications • Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Business Analytics. • Experience with federal data modernization or analytics programs. **This position requires four days a week on site at customer location in Washington DC. ** Application deadline 7-10-2026 #LI-SA #cjpost The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $95,600—$160,700 USD SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Cleared Onsite Data Analyst at cBEYONData + SMX. Skills: Data pipelines, ETL, Data warehousing, AWS. Design data pipelines. Develop data pipelines", "postedDate" : "2026-06-12T22:16:41.648", "createdAt" : "2026-06-12T22:16:41.648", "lastUpdated" : "2026-06-14T18:59:43.189", "ingestTimestamp" : "2026-06-12T22:16:41.648", "mongoId" : "6a2c5fb974d8ee00a08ee12b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95600, "salaryAnnualMax" : 160700, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "ETL processes", "Data warehousing", "Data integration", "Data processing", "Performance optimization", "Data pipelines", "ETL", "AWS", "Data processing systems", "Data solutions", "Database operations", "Data requirements", "Data architectures", "Data integrity", "Data quality", "Data-related issues", "Data processes", "Data workflows", "Apache Airflow", "AWS Glue", "Informatica" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "federal-civilian,-platforms-&-data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7a7b74d8ee00a09459da", "title" : "Research Analyst (Non-Data)", "company" : "DLH", "industry" : "Government", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T03:42:24.456", "fingerprint" : "2bb47dfc553f404a5533834f75597a203d6d74264f4fb0b1a1b69b07e0caeac1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dlhcorporation/jobs/5160129007", "externalId" : "5160129007", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Data management, Data governance, Data analysis, Data dissemination, Artificial intelligence, Cloud enablement, Modeling, Simulation", "professionalSkills" : [ "Performance evaluation", "Systems engineering", "Digital transformation" ], "hardSkillsList" : [ "Scientific evidence translation", "Program data capture", "Data quality assessment" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Scientific evidence translation", "level" : "intermediate" }, { "name" : "Program data capture", "level" : "intermediate" }, { "name" : "Data quality assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Public health research, Data analysis, Program management", "majorSkillsList" : [ "Public health research", "Data analysis", "Program management" ], "coreResponsibilities" : "Ensure capture of program data, Produce reports based on program data, Monitor commitment and obligation of funds, Prepare reports on disbursement of funded projects, Help translate scientific evidence, Support coordination and management of program activity", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Research project management" ], "domainKnowledge" : "Public health; HIV prevention; Health operations; National security readiness", "domainList" : [ "public-health", "hiv-prevention", "health-operations", "national-security-readiness" ], "domainSpecificKnowledge" : [ "Public health", "HIV prevention", "Health operations", "National security readiness" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Meticulous documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Reside within commuting distance of Atlanta, Chicago, or Washington, DC, Occasional in-person meetings", "outcomesObjectives" : "Strengthen nationwide capacity to monitor HIV epidemic", "qualificationsBasic" : "Bachelor's degree in public health, 2 years of experience managing research, Ability to obtain NAC clearance", "qualificationsPreferred" : "Experience handling public health research projects, Experience with systematic reviews, Prior experience with CDC, Master's degree in public health, Detail oriented and able to create meticulous documentation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview DLH Corp, is looking for a Public Health Research Analyst (Non-Data) to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC). CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. This position is 100% remote. However, employees may be required to attend occasional in-person meetings, trainings, or team events on an as-needed basis. To support onboarding and compliance requirements, candidates must reside within reasonable commuting distance of Atlanta, GA; Chicago, IL; or Washington, DC. Access to one of these secure office locations is required for smart card issuance, background investigation processing, and other periodic administrative or security-related activities. Responsibilities Ensure the capture of program data. Produce reports based on program data. Monitor the commitment and obligation of funds. Prepare reports on disbursement of funded research or demonstration projects. Help translate scientific evidence from the literature into practical information. Support ongoing coordination and management of program activity. Qualifications Bachelor’s degree in public health or related field. Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness. At least 2 years of experience with managing or running a research or demonstration project. Familiarity with public health research budgets and expenditures. Excellent written and verbal communication skills. Ability to multitask and prioritize competing needs. Must be able to obtain a NAC clearance Preferred Qualifications Experience handling public health research projects. Experience with systematic reviews. Prior experience with CDC, HHS, or other federal or state health agency. Master’s degree in public health or related field. Detail oriented and able to create meticulous documentation of products. Strong organizational and interpersonal skills. Basic Compensation: $50,000 - $70,000 yearly salary The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law. Benefits DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions. #LI-REMOTE EEO DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply. DLH is committed to maintaining a fair and authentic interview process", "summaryDescription" : "Research Analyst (Non-Data) at DLH. Skills: Public health research, Data analysis, Program management. Ensure capture of program data. Produce reports based on program data", "postedDate" : "2026-06-13T20:23:39.978", "createdAt" : "2026-06-13T20:23:39.978", "lastUpdated" : "2026-06-15T03:42:24.456", "ingestTimestamp" : "2026-06-13T20:23:39.978", "mongoId" : "6a2c7a7b74d8ee00a09459da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scientific evidence translation", "Program data capture", "Data quality assessment", "Communication skills", "Public health research", "Data analysis", "Program management", "Performance evaluation", "Systems engineering", "Digital transformation", "Research project management", "Public health", "HIV prevention", "Health operations", "National security readiness" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c758574d8ee00a09373d0", "title" : "Research and Prototyping Engineer", "company" : "Arcturus", "industry" : "Internships", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Research and Prototyping Engineer in Los Angeles, USA, adjusted for the manufacturing industry and company size." }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T00:35:02.360", "fingerprint" : "60b7b2bab613507741ba9b1d2dbe513763b0bd02e3cad4ed6c0c834d56185519", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/arcturus/f6cc56f2-38d0-4fb5-90b9-ae3650118f35/application", "externalId" : "f6cc56f2-38d0-4fb5-90b9-ae3650118f35", "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" : "CAD, Raman spectroscopy, Microscopy, SEM/EDS, Electrical testing, Mechanical testing", "professionalSkills" : [ "Supplier research", "Experimental tracking", "Fixture development", "Sample preparation", "Technical documentation" ], "hardSkillsList" : [ "Materials science", "Additive manufacturing", "Process engineering", "Materials characterization" ], "hardSkills" : [ { "name" : "Materials science", "level" : "intermediate" }, { "name" : "Additive manufacturing", "level" : "intermediate" }, { "name" : "Process engineering", "level" : "intermediate" }, { "name" : "Materials characterization", "level" : "intermediate" } ], "majorSkills" : "Materials science, Additive manufacturing, Process engineering, Testing", "majorSkillsList" : [ "Materials science", "Additive manufacturing", "Process engineering", "Testing" ], "coreResponsibilities" : "Support technical team across experiments, Conduct literature research, Perform supplier research, Prepare samples, Develop fixtures, Perform testing, Maintain documentation, Build and maintain supplier database, Organize recipe matrix, Support nanomaterial handling, Track experimental results, Build and maintain chamber BOMs, Track vendor quotes, Support fixture and tooling development, Organize fixture CAD library, Support additive manufacturing experiments, Support flash sintering fixture iterations, Create and improve sample preparation SOPs, Support cylinder coupon workflows, Translate experimental procedures into work instructions, Support internal materials testing, Prepare samples for external testing, Coordinate with external vendors and labs, Maintain clear technical documentation", "teamCollaboration" : "Work closely with technical leads; Work with senior engineers", "domainKnowledge" : "Carbon nanomaterials; Additive manufacturing; Electrification; Materials science; Powder processing", "domainList" : [ "carbon-nanomaterials", "additive-manufacturing", "electrification", "materials-science", "powder-processing" ], "domainSpecificKnowledge" : [ "Carbon nanomaterials", "Additive manufacturing", "Electrification", "Materials science", "Powder processing" ], "toolProficiency" : [ "Onshape" ], "documentationSkills" : "Technical documentation; Lab notes; Test summaries; Experimental results", "continuousLearning" : "Willingness to learn across multiple disciplines", "innovationCreativity" : "Prototype development", "qualificationsBasic" : "BS, MS, or PhD in materials science, mechanical engineering, chemical engineering, electrical engineering, physics, chemistry, manufacturing engineering, or a related technical field, Technical curiosity and willingness to learn, Comfortable working hands-on in a lab, shop, or experimental environment, Highly organized, detail-oriented, and reliable with documentation, Able to take direction, ask good questions, and execute quickly, Excited to work in a fast-moving startup environment", "qualificationsPreferred" : "Experience working in a research lab, hardware startup, university lab, or advanced manufacturing environment, Experience with carbon nanomaterials, graphene, carbon nanotubes, metallurgy, additive manufacturing, powder processing, or materials characterization, Familiarity with Raman spectroscopy, microscopy, SEM/EDS, electrical testing, mechanical testing, polishing, or sample preparation, CAD experience, ideally with Onshape or similar tools, Experience with literature reviews, supplier research, technical databases, or experimental documentation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Arcturus Arcturus is creating a new wire technology stack that uses carbon nanomaterials to overcome the materials limitations of metals where performance breaks down, at real operating temperatures. Our technology is designed to significantly improve the performance of electric motors for drones and robotics, heat sinks, and ultimately the entire energy grid. At its core, Arcturus is developing a new class of carbon nanomaterial-infused metal matrix composites for high-performance conductor applications. Why you should join us This is a ground-floor opportunity to help build something that has never been done before. You would join as an early technical co-op and work closely with Arcturus’ technical team across nanomaterials, additive manufacturing, process engineering, and testing. This is a hands-on role for someone who wants to learn quickly, contribute directly, and help build the experimental foundation for a first-of-its-kind materials platform. Purpose We are seeking a Research and Prototyping Engineer Co-op who can support the technical team across experiments, literature research, supplier research, sample preparation, fixture development, testing, and documentation. This role is intentionally broad. You do not need to be an expert in every area, but you should be highly curious, organized, hands-on, and excited to work at the intersection of materials science, advanced manufacturing, and electrification. The role This role will work closely with Arcturus’ technical leads and senior engineers. Nanomaterials - Build and maintain a carbon nanomaterial and powder supplier database, including vendors, material specs, pricing, lead times, and sample availability - Help organize a recipe matrix for carbon nanomaterial integration, including material type, loading level, feedstock, processing route, and resulting performance - Support basic nanomaterial handling, sample preparation, documentation, and experimental tracking Additive Manufacturing - Help build and maintain chamber BOMs, equipment lists, vendor quote trackers, and component comparison tables - Support fixture and tooling development through CAD, ideally in Onshape or a similar CAD platform - Help organize a fixture CAD library for experimental setups, sample holders, coupons, and test hardware - Support additive manufacturing experiments through preparation, documentation, build tracking, and post-build sample handling Process Engineering - Support flash sintering fixture iterations, including CAD updates, part sourcing, assembly, testing, and documentation - Help create and improve sample preparation SOPs for polishing, sectioning, mounting, cleaning, labeling, and tracking - Support cylinder coupon workflows, including sample preparation, processing, inspection, measurement, and documentation - Help translate experimental procedures into clear, repeatable work instructions and lab notes Testing and Characterization - Support internal materials testing, including Raman spectroscopy, electrical characterization, mechanical characterization, polishing, microscopy, and other methods as needed - Help prepare samples and data packages for external testing, vendor evaluation, partner validation, and customer-facing demonstrations - Coordinate with external vendors and labs for quotes, sample shipments, testing status, and results tracking - Maintain clear technical documentation, including lab notes, test summaries, experimental results, and lessons learned Basic qualifications - Currently pursuing or recently completed a BS, MS, or PhD in materials science, mechanical engineering, chemical engineering, electrical engineering, physics, chemistry, manufacturing engineering, or a related technical field - Strong technical curiosity and willingness to learn across multiple disciplines - Comfortable working hands-on in a lab, shop, or experimental environment - Highly organized, detail-oriented, and reliable with documentation - Able to take direction, ask good questions, and execute quickly - Excited to work in a fast-moving startup environment where priorities can change quickly Preferred qualifications - Experience working in a research lab, hardware startup, university lab, or advanced manufacturing environment - Experience with carbon nanomaterials, graphene, carbon nanotubes, metallurgy, additive manufacturing, powder processing, or materials characterization - Familiarity with Raman spectroscopy, microscopy, SEM/EDS, electrical testing, mechanical testing, polishing, or sample preparation - CAD experience, ideally with Onshape or similar tools - Experience with literature reviews, supplier research, technical databases, or experimental documentation What we offer - Hands-on technical experience with first-of-its-kind materials and manufacturing challenges - The chance to work closely with senior technical leads across nanomaterials, additive manufacturing, process engineering, and testing - Real ownership over useful technical projects, databases, fixtures, experiments, and documentation - Up to a one-year co-op experience with direct exposure to early-stage deeptech startup building. If the fit is right, we'd love to bring you on to the team! If this role excites you, even if you do not check every box, we’d love to hear from you. We’d rather work with a fast learner who cares deeply about the work than someone with years of experience but little curiosity.", "summaryDescription" : "Research and Prototyping Engineer at Arcturus. Skills: Materials science, Additive manufacturing, Process engineering, Testing. Support technical team across experiments. Conduct literature research", "createdAt" : "2026-06-14T20:11:35.092", "lastUpdated" : "2026-06-16T00:35:02.360", "ingestTimestamp" : "2026-06-14T20:11:35.092", "mongoId" : "6a2c758574d8ee00a09373d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Materials science", "Additive manufacturing", "Process engineering", "Materials characterization", "Testing", "Supplier research", "Experimental tracking", "Fixture development", "Sample preparation", "Technical documentation", "Carbon nanomaterials", "Electrification", "Powder processing", "Onshape" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ae8f374d8ee00a072bcac", "title" : "Data Modeler", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Modeler in Bengaluru, India, adjusted for Senior seniority and Technology industry." }, "location" : "Bengaluru, KA", "locations" : [ "Bengaluru, KA", "India" ], "timestamp" : "2026-06-15T01:01:25.274", "fingerprint" : "dda8afad4678c0ed2a63d76d65a8b0686eeb4bd8229165457620b18350d3144a", "source" : "workday", "language" : "en", "applyUrl" : "https://freseniusmedicalcare.wd3.myworkdayjobs.com/fme/job/Bengaluru-KA/Data-Modeler_R0254268", "externalId" : "R0254268", "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Snowflake, Databricks, Spark, AWS, Azure, S3, ADLS Gen2, SageMaker, Amazon Bedrock", "professionalSkills" : [ "Data modeling", "Analytics engineering", "AI/ML workloads", "GenAI workloads", "Data governance", "Metadata standards", "Lineage standards", "Data quality rules", "Business glossaries", "Data ownership", "Domain boundaries", "Stewardship responsibilities", "Impact analysis" ], "hardSkillsList" : [ "Data modeling concepts", "Dimensional models", "Relational models", "Hybrid models", "Star schema", "Snowflake schema", "Data vault modeling", "Source-to-target mappings", "Transformation logic", "Feature usability", "Feature consistency", "Feature lineage", "Explainability", "Traceability", "Data asset reuse" ], "softSkillsList" : [ "Analytical skills", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Data modeling concepts", "level" : "intermediate" }, { "name" : "Dimensional models", "level" : "intermediate" }, { "name" : "Relational models", "level" : "intermediate" }, { "name" : "Hybrid models", "level" : "intermediate" }, { "name" : "Star schema", "level" : "intermediate" }, { "name" : "Snowflake schema", "level" : "intermediate" }, { "name" : "Data vault modeling", "level" : "intermediate" }, { "name" : "Source-to-target mappings", "level" : "intermediate" }, { "name" : "Transformation logic", "level" : "intermediate" }, { "name" : "Feature usability", "level" : "intermediate" }, { "name" : "Feature consistency", "level" : "intermediate" }, { "name" : "Feature lineage", "level" : "intermediate" }, { "name" : "Explainability", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Data asset reuse", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "Data modeling, Cloud data platforms, AI/ML enablement", "majorSkillsList" : [ "Data modeling", "Cloud data platforms", "AI/ML enablement" ], "coreResponsibilities" : "Design data models, Maintain data models, Develop dimensional models, Develop relational models, Develop hybrid models, Translate business requirements, Ensure models support batch use cases, Ensure models support near-real-time use cases, Design models optimized for Snowflake, Partner with data engineering teams, Implement models in Databricks, Support cloud data storage solutions, Ensure models align with analytics consumption, Ensure models align with BI consumption, Collaborate with data engineers, Ensure data pipelines populate models, Ensure data pipelines maintain models, Define source-to-target mappings, Define transformation logic, Ensure consistency of data definitions, Design data models for ML workloads, Design feature models for ML workloads, Design data models for GenAI workloads, Design feature models for GenAI workloads, Partner with data scientists, Ensure feature usability, Ensure feature consistency, Ensure feature lineage, Enable explainability for AI initiatives, Enable traceability for AI initiatives, Enable reuse of data assets, Align models with business glossaries, Align models with metadata standards, Align models with lineage standards, Align models with data quality rules, Align models with validation checks, Ensure models reflect data ownership, Ensure models reflect domain boundaries, Ensure models reflect stewardship responsibilities, Maintain documentation for data models, Maintain documentation for definitions, Maintain documentation for relationships, Contribute to modeling standards, Contribute to best practices, Contribute to design guidelines, Support impact analysis for changes, Engage with business users, Engage with analysts, Engage with product owners, Validate data requirements, Support analytics teams, Support reporting teams, Act as subject matter expert", "teamCollaboration" : "Data engineers; Governance teams; Analytics teams; Business stakeholders; Data scientists", "domainKnowledge" : "Data modeling concepts; Cloud data architectures; AI/ML workloads; GenAI workloads; Data integration; ETL/ELT processes; Analytics workloads", "domainList" : [ "data-modeling-concepts", "cloud-data-architectures", "ai-ml-workloads", "genai-workloads", "data-integration", "etl-elt-processes", "analytics-workloads" ], "domainSpecificKnowledge" : [ "Data modeling concepts", "Cloud data architectures", "AI/ML workloads", "GenAI workloads", "Data integration", "ETL/ELT processes", "Analytics workloads" ], "toolProficiency" : [ "Snowflake", "Databricks", "SageMaker", "Amazon Bedrock" ], "communicationSkills" : "Technical stakeholders; Non-technical stakeholders", "documentationSkills" : "Documentation for data models; Documentation for definitions; Documentation for relationships", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "5+ years experience in data modeling, 3+ years supporting enterprise-scale data platforms, Experience modeling data for analytics, Experience modeling data for reporting, Experience modeling data for AI use cases, Bachelor's degree in Computer Science, Bachelor's degree in Information Systems, Bachelor's degree in Data Management, Bachelor's degree in Engineering, Bachelor's degree in a related field, Expertise in data modeling concepts", "qualificationsPreferred" : "Master's degree is a plus, Experience in regulated industries, Familiarity with data governance tools, Familiarity with metadata tools, Familiarity with lineage tools, Experience with large data ecosystems, Experience with multi-domain modeling, Exposure to real-time architectures, Exposure to event-driven architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "### **Role Overview** ### We are seeking a Data Modeler to design, develop, and maintain high‑quality conceptual, logical, and physical data models that support analytics, reporting, AI/ML, and GenAI use cases. This role partners closely with data engineers, governance teams, analytics, and business stakeholders to ensure data structures are scalable, performant, governed, and aligned with business semantics across AWS and Azure data platforms. ### ### **Key Responsibilities** ### Data Modeling & Design ### Design and maintain conceptual, logical, and physical data models to support enterprise analytics, reporting, and AI use cases. ### Develop dimensional, relational, and hybrid models (e.g., star, snowflake, data vault where applicable). ### Translate business requirements into well‑structured, reusable data models. ### Ensure data models support both batch and near‑real‑time use cases. ### Cloud Data Platforms & Analytics ### Design data models optimized for Snowflake, including performance, scalability, and cost efficiency. ### Partner with data engineering teams to implement models in Databricks (Spark) environments. ### Support cloud data storage solutions such as S3 and ADLS Gen2. ### Ensure models align with analytics and BI consumption patterns. ### Data Integration & Transformation Alignment ### Collaborate with data engineers to ensure data pipelines correctly populate and maintain models. ### Define source‑to‑target mappings and transformation logic. ### Ensure consistency of data definitions across source systems and downstream consumers. ### AI / ML & Advanced Analytics Enablement ### Design data and feature models that support ML and GenAI workloads using SageMaker and Amazon Bedrock. ### Partner with data scientists to ensure feature usability, consistency, and lineage. ### Enable explainability, traceability, and reuse of data assets for AI initiatives. ### Data Governance & Quality ### Work closely with data governance teams to align models with: ### Business glossaries ### Metadata and lineage standards ### Data quality rules and validation checks ### Ensure models reflect data ownership, domain boundaries, and stewardship responsibilities. ### Documentation & Standards ### Maintain comprehensive documentation for data models, definitions, and relationships. ### Contribute to modeling standards, best practices, and design guidelines. ### Support impact analysis for changes to data structures. ### Collaboration & Stakeholder Engagement ### Engage with business users, analysts, and product owners to validate data requirements. ### Support analytics and reporting teams in understanding and using data models effectively. ### Act as a subject matter expert for enterprise data structures. ### ### **Required Skills & Experience** ### Technical Skills * ### Strong expertise in data modeling concepts (conceptual, logical, physical). * ### Proficiency in SQL; familiarity with Python is a plus. * ### Hands‑on experience with Snowflake data modeling and performance optimization. * ### Experience working with Databricks / Spark‑based data platforms. * ### Understanding of cloud data architectures on AWS and/or Azure. * ### Familiarity with data integration, ETL/ELT processes, and analytics workloads. * ### Understanding of data needs for AI/ML and GenAI platforms (SageMaker, Bedrock). ### ### Soft Skills * ### Strong analytical and problem‑solving skills. * ### Ability to translate complex business concepts into clear data structures. * ### Excellent communication skills with both technical and non‑technical stakeholders. * ### Detail‑oriented with a focus on data consistency and usability. ### ### **Education Requirements** ### Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field. ### Master’s degree is a plus. ### Experience Requirements ### 5+ years of experience in data modeling, analytics engineering, or related roles. ### 3+ years supporting enterprise‑scale data platforms in cloud environments. ### Experience modeling data for analytics, reporting, and AI use cases. ### Preferred Qualifications ### Experience in regulated industries (e.g., healthcare, life sciences, finance). ### Familiarity with data governance, metadata, and lineage tools. ### Experience with large, complex data ecosystems and multi‑domain modeling. ### Exposure to real‑time or event‑driven architectures.", "summaryDescription" : "Data Modeler. Skills: Data modeling, Cloud data platforms, AI/ML enablement. Design data models. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-North Carolina-Charlotte", "summaryDescription" : "BIM Model Manager at HDR. 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We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role Attentive is seeking a high-impact Anaplan model builder to join our Corporate FP building and implementing scalable EPM solutions across Finance, Go-To-Market, and HR System Experience: Our EPM team interfaces and leverages data from many of Attentive’s key systems. Some key systems include: NetSuite, Salesforce, ADP Workforce Now, Greenhouse, Crunchr, Looker, and Snowflake. Experience with these applications is a plus Strong Communicator & Presenter: Excels in written and visual communication and messaging. Ability to comfortably present complex concepts to team members and internal stakeholders in a simple and concise manner to drive alignment is critical Strategic Thinking: Ability to think about implications of strategic choices and their impact on both upstream and downstream people and processes You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $112,000 - $155,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MM1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Anaplan Model Builder at Attentive. Skills: Anaplan Model Builder. Build scalable EPM solutions. 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Pune, India", "employmentType" : "FULL_TIME", "technicalSkills" : "BIM, Autodesk Forma", "professionalSkills" : [ "Digital delivery", "Model coordination", "Quality control", "Document management" ], "hardSkillsList" : [ "Model health monitoring", "Coordination processes" ], "hardSkills" : [ { "name" : "Model health monitoring", "level" : "intermediate" }, { "name" : "Coordination processes", "level" : "intermediate" } ], "majorSkills" : "BIM Model Coordination, Digital Deliverables", "majorSkillsList" : [ "BIM Model Coordination", "Digital Deliverables" ], "coreResponsibilities" : "Assist with digital model management, Assist with project deliverables, Execute digital deliverables, Support production team, Provide technical support, Communicate deliverable schedule, Monitor model health, Monitor coordination processes, Assist with DDP development, Assist with DDP maintenance, Establish document management system, Maintain server infrastructure, Ensure software access, Ensure software training, Generate model setup, Maintain model setup, Monitor company standards, Monitor model health, Host coordination meetings, Ensure quality control, Communicate digital deliverables, Coordinate digital deliverables, Compile digital deliverables, Archive projects", "teamCollaboration" : "Digital Delivery Leads; Project team; Production team; HDR management; Clients", "projectManagementSkills" : [ "Digital Delivery Plan" ], "domainKnowledge" : "Building engineering; Digital age infrastructure; Data centers; Commercial environments; Mechanical engineering; Electrical engineering; Structural engineering; Civil engineering; Built environment", "domainList" : [ "building-engineering", "digital-age-infrastructure", "data-centers", "commercial-environments", "mechanical-engineering", "electrical-engineering", "structural-engineering", "civil-engineering", "built-environment" ], "domainSpecificKnowledge" : [ "Building engineering", "Digital age infrastructure", "Data centers", "Commercial environments", "Mechanical engineering", "Electrical engineering", "Structural engineering", "Civil engineering", "Built environment" ], "toolProficiency" : [ "Autodesk Forma", "Newforma", "ProjectWise", "Procore" ], "communicationSkills" : "Presentations", "documentationSkills" : "Construction documents", "innovationCreativity" : "Novel ideas", "qualificationsBasic" : "Understand discipline interaction, Understand construction document production", "qualificationsPreferred" : "Autodesk Forma knowledge, Clash detection software experience, BIM automation tools experience, Microsoft products experience, Google products experience, Newforma experience, ProjectWise experience, Procore experience, Excellent communication skills, Organization skills, Time management skills, Collaborative character, Team-minded character", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. In the role of BIM Model Coordinator , we'll count on you to: Assisting with the management of the digital model environment and deliverables for an entire project Have an understanding of how all disciplines interact and how construction documents are produced Work directly with more advanced Digital Delivery Leads to execute the digital deliverables outlined in the Digital Delivery Plan (DDP) Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute the digital deliverables and support the production team throughout the project duration Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Assist with the development and maintenance of the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Strong knowledge of Autodesk Forma (formerly ACC) Experience with clash detection software and procedures Experience with BIM automation tools and procedures Experience with Microsoft and Google products Experience with Newforma, ProjectWise, Procore, and similar software Excellent communication skills Strong organization and time management skills A collaborative, team-minded character #LI-EV1", "summaryDescription" : "BIM Model Coordinator at HDR. Skills: BIM Model Coordination, Digital Deliverables. Assist with digital model management. Assist with project deliverables", "createdAt" : "2026-06-14T03:05:09.450", "lastUpdated" : "2026-06-15T13:11:32.784", "ingestTimestamp" : "2026-06-14T03:05:09.450", "mongoId" : "6a2ccb1b74d8ee00a0a23dbd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model health monitoring", "Coordination processes", "BIM Model Coordination", "Digital Deliverables", "Digital delivery", "Model coordination", "Quality control", "Document management", "Digital Delivery Plan", "Building engineering", "Digital age infrastructure", "Data centers", "Commercial environments", "Mechanical engineering", "Electrical engineering", "Structural engineering", "Civil engineering", "Built environment", "Autodesk Forma", "Newforma", "ProjectWise", "Procore" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aa94174d8ee00a06c2189", "title" : "Requirements Engineer", "company" : "JUST ONE", "industry" : "Aviation & Aerospace", "salary" : { "min" : 32000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Athens, Attica, Greece", "locations" : [ "Athens, Attica, Greece" ], "timestamp" : "2026-06-14T18:40:24.229", "fingerprint" : "569af39f9291b576b694678853f21995f2018475415d617a99dc32ae411b5b76", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/286168079C/apply", "externalId" : "286168079C", "industryFunction" : { }, "locationPoint" : "37.98376,23.72784", "structuredLocations" : [ { "city" : "Athens", "state" : "Attica", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "37.9755648,23.7348324" }, { "city" : "Heraklion", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "35.3390800,25.1332843" } ], "locationText" : "Athens, Attica, Greece; Heraklion, Greece", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "domainKnowledge" : "Space science missions; Astrophysics; Exoplanet science; Gravitational wave missions; Systems engineering concepts; Space programs", "domainList" : [ "space-science-missions", "astrophysics", "exoplanet-science", "gravitational-wave-missions", "systems-engineering-concepts", "space-programs" ], "domainSpecificKnowledge" : [ "Space science missions", "Astrophysics", "Exoplanet science", "Gravitational wave missions", "Systems engineering concepts", "Space programs" ], "specialRequirements" : "Remote work case by case", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "JUST ONE, on behalf of its client, a leading European space and technology company driving cutting-edge satellite systems and aerospace engineering solutions, is looking for a motivated and technically driven **Requirements Engineer** to join their growing team in Greece. The Requirements Engineer will maintain and exploit the requirements database, supporting traceability and verification activities, and contributing to the continuous improvement of requirements engineering processes. This position is ideal for an early-career engineer with strong attention to detail, organizational skills, and a strong interest in space missions. ### **Responsibilities:** * Maintain and update the **requirements database (IBM DOORS) ** * Assist in requirements tracing, verification status tracking, and consistency checks across different system levels * Deliver and review technical specifications exports from the requirements database * Contribute to the improvement and documentation of requirements engineering processes * Contribute to the projects’ documentation (specification tree, traceability matrices, progress reports) **Requirements** * MSc in Aerospace Engineering, Systems Engineering, Physics, Astrophysics, or a related field * **Strong interest in space science missions** , particularly astrophysics, exoplanet science, or gravitational wave missions * Basic understanding of **systems engineering** concepts (requirements, interfaces, verification/validation) * Analytical mindset, attention to detail, and ability to work with complex technical information * **English** (proficient level, required) and German (good-to-have) * Motivation to learn tools, standards, and processes used in large European space programs * Military service obligations fulfilled (for male Greek citizens) **Benefits** * **Base Salary €32K/yr - €45K/yr depending on level of experience, can be negotiated for senior profiles** * Direct involvement in flagship ESA scientific missions (LISA, PLATO) * Hands-on training in requirements engineering and DOORS with close mentoring by experienced requirements engineers * Collaborative, high‑trust culture that values initiative, asking questions early, and taking calculated risks. Exposure to an international leading space industry environment through daily interactions with * Opportunities for professional growth in systems engineering and space project lifecycle activities * Private health insurance, flexible hours, remote work on a case by case basis, training/certification budget, business travel opportunities, and benefit vouchers. * Competitive Greek salary based on experience * **Locations:** Athens (preferred) or Heraklion", "summaryDescription" : "Requirements Engineer at JUST ONE", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-12T02:55:53.561", "lastUpdated" : "2026-06-14T18:40:24.229", "ingestTimestamp" : "2026-06-12T02:55:53.561", "mongoId" : "6a2aa94174d8ee00a06c2189", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/286168079C", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Space science missions", "Astrophysics", "Exoplanet science", "Gravitational wave missions", "Systems engineering concepts", "Space programs" ], "skillCount" : 6, "jobCategory" : "other", "jobSubcategory" : "aviation-aerospace", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Space Technology" }, { "id" : "6a2a3f5174d8ee00a05c21aa", "title" : "Engineer, Core Software System and Requirements Lead", "company" : "Scout Motors", "industry" : "Automotive", "salary" : { "min" : 160000.0, "max" : 192500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charlotte, NC", "locations" : [ "Charlotte", "NC" ], "timestamp" : "2026-06-11T07:29:00.650", "fingerprint" : "7cdae26e24d176148c3408f652405c881875dde07cd4cf8cff3acb5e67ef7f01", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scoutmotors/jobs/5158569007", "externalId" : "5158569007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "CANoe", "professionalSkills" : [ "Requirements management", "Engineering governance", "Functional Safety", "Failure analysis", "Interface architecture", "System constraints", "Architectural enhancements", "Cross-domain Systems Engineering", "Technical risk translation", "Process automation", "Electrical design", "Software development", "Calibration engineering", "Supplier integration" ], "hardSkillsList" : [ "Module software requirements", "Subsystem block diagrams", "Component diagrams", "Connectivity diagrams", "Power path diagrams", "Communication bus diagrams", "Interface relationships", "Data flow diagrams", "Control flow diagrams", "Signal-level block diagrams", "Network management", "Modes clarity", "Sleep/wake-up", "Vehicle mode support", "Booting process", "Digital thread tools" ], "softSkillsList" : [ "Integrity", "Curiosity", "Resourcefulness", "Visionary", "Leader", "Doer" ], "hardSkills" : [ { "name" : "Module software requirements", "level" : "intermediate" }, { "name" : "Subsystem block diagrams", "level" : "intermediate" }, { "name" : "Component diagrams", "level" : "intermediate" }, { "name" : "Connectivity diagrams", "level" : "intermediate" }, { "name" : "Power path diagrams", "level" : "intermediate" }, { "name" : "Communication bus diagrams", "level" : "intermediate" }, { "name" : "Interface relationships", "level" : "intermediate" }, { "name" : "Data flow diagrams", "level" : "intermediate" }, { "name" : "Control flow diagrams", "level" : "intermediate" }, { "name" : "Signal-level block diagrams", "level" : "intermediate" }, { "name" : "Network management", "level" : "intermediate" }, { "name" : "Modes clarity", "level" : "intermediate" }, { "name" : "Sleep/wake-up", "level" : "intermediate" }, { "name" : "Vehicle mode support", "level" : "intermediate" }, { "name" : "Booting process", "level" : "intermediate" }, { "name" : "Digital thread tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Integrity" }, { "name" : "Curiosity" }, { "name" : "Resourcefulness" }, { "name" : "Visionary" }, { "name" : "Leader" }, { "name" : "Doer" } ], "majorSkills" : "Module software requirements, Engineering governance, System Authority, Constraint Custodian", "majorSkillsList" : [ "Module software requirements", "Engineering governance", "System Authority", "Constraint Custodian" ], "coreResponsibilities" : "Drive module software requirements, Capture requirements formally, Manage requirements formally, Develop subsystem block diagrams, Develop main component diagrams, Develop connectivity diagrams, Develop power path diagrams, Develop communication bus diagrams, Develop interface relationships, Develop data/control flow diagrams, Develop signal-level block diagrams, Manage network management, Clarify modes, Support vehicle modes, Support booting process, Become subject matter expert, Coach design engineers, Coach release engineers, Develop relationships across hardware team, Develop relationships across system engineers, Develop relationships across feature owners, Deliver quality requirements, Establish engineering governance, Lead team for FuSa delivery, Enforce process for FuSa delivery, Enforce KPIs for FuSa delivery, Act as primary lead for requirement quality, Act as primary coach for requirement quality, Act as primary lead for failure analysis, Act as primary coach for failure analysis, Act as primary lead for process discipline, Act as primary coach for process discipline, Govern repository best practices, Govern execution of interfaces architecture, Govern integration readiness, Recognize system-level constraints, Build multi-disciplinary system team, Mentor multi-disciplinary system team, Scale multi-disciplinary system team, Build multi-disciplinary feature team, Mentor multi-disciplinary feature team, Scale multi-disciplinary feature team, Establish engineering governance, Establish design reviews, Establish technical decision-making frameworks, Drive architectural enhancements, Improve quality through diagnostics, Improve quality through preventative maintenance, Act as primary liaison between Architecture, Act as primary liaison between Systems Engineering, Resolve 'blockers', Translate complex technical risks, Make executive decisions, Automate manual workflows, Reduce human error in release chain, Interface with electrical design teams, Interface with software developers, Interface with calibration engineers, Interface with supplier integration teams, Align dependencies", "teamCollaboration" : "Across disciplines; Across hardware team; Across system engineers; Across feature owners; Cross-functional leadership; Cross-domain Systems Engineering", "domainKnowledge" : "Automotive system; Network management; Vehicle modes; Electric powertrains; Range extender powertrain; Functional Safety; Digital thread tools", "domainList" : [ "automotive-system", "network-management", "vehicle-modes", "electric-powertrains", "range-extender-powertrain", "functional-safety", "digital-thread-tools" ], "domainSpecificKnowledge" : [ "Automotive system", "Network management", "Vehicle modes", "Electric powertrains", "Range extender powertrain", "Functional Safety", "Digital thread tools" ], "toolProficiency" : [ "QLAH" ], "communicationSkills" : "Precision Communication; Executive stakeholders", "documentationSkills" : "Subsystem block diagrams; Component diagrams; Connectivity diagrams; Power path diagrams; Communication bus diagrams; Interface relationships; Data flow diagrams; Control flow diagrams; Signal-level block diagrams", "innovationCreativity" : "Innovate; Bold ideas; Elegant solutions", "problemSolvingSkills" : "Complex problem solving; Root cause analysis; Failure analysis", "specialRequirements" : "4-5 days per week in office, Regular in-person meetings, Travel to participate in events", "outcomesObjectives" : "Meet highest standards of safety; Meet highest standards of performance; Meet highest standards of user experience; Achieve timely vehicle system execution", "qualificationsBasic" : "Master’s degree in Electrical Engineering, Mechatronics, Computer Engineering, Computer Science, or a related field, 12+ yrs. of experience, Expert at automotive system, Expertise with complex problem solving, Data analysis, Access/interpret/drive results with extended teams, Knowledge of Automotive design and development process, Knowledge of system requirements, Knowledge of general engineering best practices", "qualificationsPreferred" : "Recognized system/controls industry thought leader", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you’ll do At Scout Motors, you don't just design vehicles- you shape the future of the road. Our Engineering team is where bold ideas meet rigorous execution, building machines that are as durable and capable as the people who drive them. You'll work shoulder-to-shoulder with brilliant minds across disciplines, turning complex challenges into elegant, scalable solutions that meet the highest standards of safety, performance, and user experience. This is a place where your fingerprints are found on metal – where what you design gets built, driven, and remembered. If you're hungry to engineer something that matters, Scout Motors is where that ambition finds its highest gear. Scout Motors is seeking a technical lead to drive module software requirements across the vehicle. The feature/function requirements decomposed to the module-level need to be captured and managed formally in QLAH, which will include subsystem block diagrams, main components, connectivity, power paths, communication buses, interface relationships, data/control flow, and a signal-level block diagram including all input/output signals. Network management and modes clarity is a focus domain including network management, sleep/wake-up, vehicle mode support (Service, Transport, Production, OTA) and booting process for each module. You will become the subject matter expert (SME) for module software requirements and will coach design and release engineers across the organization. You will need to develop strong relationships across the hardware team, system engineers and feature/function owners. The ideal candidate has deep experience delivering quality requirements and establishing engineering governance with digital thread tools. Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Functional Safety Strategy and Governance: Lead team and enforce process and key performance indicators for FuSa delivery across the vehicle Feature/Function Requirements Custodian: Act as the primary lead/coach for requirement quality, failure analysis, and process discipline including repository best practices Serve as System Authority: Govern execution of interfaces architecture, integration readiness across hardware, software, controls and connectivity domains Constraint Custodian: Recognize system-level constraints (compute, timing, power, performance, reliability) as feature/function requirements develop from customer use cases through decomposition to electronic modules Mentor: Build, mentor and scale multi-disciplinary system/feature team Governance Master: Establish engineering governance, design reviews and technical decision-making frameworks to support timely vehicle system execution Quality Orchestration Shifted Left: Use system experience to drive architectural enhancements to improve quality through diagnostics and preventative maintenance Cross-Functional Leadership: Act as the primary liaison between Architecture and cross-domain Systems Engineering teams to resolve \"blockers\" Precision Communication: Translating complex technical risks into clear \"Go/No-Go\" decisions for executive stakeholders. Process Architect: A passion for automating manual workflows to reduce human error in the release chain. Technical Interface: Interface with electrical design teams, software developers, calibration engineers, and supplier integration teams to align dependencies. Location & Travel Expectations: This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC. This role requires 4-5 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: Master’s degree in Electrical Engineering, Mechatronics, Computer Engineering, Computer Science, or a related field with 12+ yrs. of experience Expert at automotive system/platform development and modeling particularly in the early part of the “System V” Experience delivering platforms reused across multiple Vehicle programs Background in autonomous vehicles, robotics, or advanced mobility systems Background with cloud-connected embedded systems and modern DevOps pipelines Expert in vehicle electrical architecture/topology and ECU-level software stacks, automotive communication protocols (CAN, LIN, FlexRay, Ethernet), UDS diagnostics (ISO 14229) and diagnostic communication tools Strong knowledge of Jira, GitHub/GitLab, Jenkins, and Artifactory.ALM/PLMProficiency in Siemens Polarion, IBM DOORS Next Gen, or PTC Windchill. Strong understanding, development and verification of plant and control models in MATLAB/Simulink for execution in hardware in the loop test environment, dSpace control desk and automation desk Strong understanding of 1st principles in Engineering, result/solution oriented. Familiarity with SW for embedded systems, EE systems and architecture Familiarity with A2B, CAN, Automotive Ethernet, LIN, LVDS communication protocols and Vehicle Network tools, such as CANalyzer, CANoe, etc.‚ Expertise with complex problem solving, data analysis, access/interpret/drive results with extended teams. Knowledge of Automotive design and development process, system requirements, and general engineering best practices Recognized system/controls industry thought leader (awards, keynote speaking, standards participation What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: Competitive insurance including: Medical, dental, vision and income protection plans 401(k) program with: An employer match and immediate vesting Generous Paid Time Off including: 20 days planned PTO, as accrued 40 hours of unplanned PTO and 14 company or floating holidays, annually Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $160,000.00 - $192,500.00 Internal leveling code: IC7 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.", "summaryDescription" : "Engineer, Core Software System and Requirements Lead at Scout Motors. Skills: Module software requirements, Engineering governance, System Authority, Constraint Custodian. Drive module software requirements. Capture requirements formally", "postedDate" : "2026-06-11T07:14:17.768", "createdAt" : "2026-06-11T07:14:17.768", "lastUpdated" : "2026-06-11T07:29:00.650", "ingestTimestamp" : "2026-06-11T07:14:17.768", "mongoId" : "6a2a3f5174d8ee00a05c21aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 192500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Module software requirements", "Subsystem block diagrams", "Component diagrams", "Connectivity diagrams", "Power path diagrams", "Communication bus diagrams", "Interface relationships", "Data flow diagrams", "Control flow diagrams", "Signal-level block diagrams", "Network management", "Modes clarity", "Sleep/wake-up", "Vehicle mode support", "Booting process", "Digital thread tools", "Integrity", "Curiosity", "Resourcefulness", "Visionary", "Leader", "Doer", "Engineering governance", "System Authority", "Constraint Custodian", "Requirements management", "Functional Safety", "Failure analysis", "Interface architecture", "System constraints", "Architectural enhancements", "Cross-domain Systems Engineering", "Technical risk translation", "Process automation", "Electrical design", "Software development", "Calibration engineering", "Supplier integration", "Automotive system", "Vehicle modes", "Electric powertrains", "Range extender powertrain", "QLAH" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "vehicle-software-&-electrical-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive" }, { "id" : "69fd04b04c40e2acd1ae5db6", "title" : "Internship – Nuclear Insights into Ocean Alkalinity", "company" : "IAEA", "industry" : "Government", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Monaco, adjusted for the climate tech industry." }, "location" : "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "locations" : [ "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "2026-05-28, 11:59:00 PM" ], "timestamp" : "2026-06-16T02:29:37.292", "fingerprint" : "a63cf5e25ad269a77925d81db2227d480d5e2ee2e7cb8599a208fbce569f15bf", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1314728", "externalId" : "1314728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monaco", "state" : "Monaco", "country" : "Monaco", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.7309697,7.4248152" } ], "locationText" : "Monaco, Monaco, Monaco", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NAML-Radioecology Laboratory Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "summaryDescription" : "Internship – Nuclear Insights into Ocean Alkalinity at IAEA", "createdAt" : "2026-06-14T19:48:41.011", "lastUpdated" : "2026-06-16T02:29:37.292", "ingestTimestamp" : "2026-06-14T19:48:41.011", "mongoId" : "69fd04b04c40e2acd1ae5db6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2a714374d8ee00a0648c3f", "title" : "Linguist - Chinese into English (Medical)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Linguist in the US Healthcare industry, adjusted for remote work and contract employment." }, "location" : "USA (Remote)", "locations" : [ "USA (Remote)" ], "timestamp" : "2026-06-14T20:05:16.652", "fingerprint" : "e0e35a60fd2c07f3da8e8cb1ec84b8d5322df665e58297f3121dee6c64a4c72d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/9321e2fc-cdbc-4aab-a0d4-427ce4ba6727/application", "externalId" : "9321e2fc-cdbc-4aab-a0d4-427ce4ba6727", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "minimumEducation" : "Graduate", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Life Sciences Expertise", "Regulatory Review", "Medical content translation", "Regulatory content translation" ], "hardSkillsList" : [ "Translation", "Localization" ], "hardSkills" : [ { "name" : "Translation", "level" : "intermediate" }, { "name" : "Localization", "level" : "intermediate" } ], "majorSkills" : "Medical translation, Life Sciences translation, Regulatory compliance", "majorSkillsList" : [ "Medical translation", "Life Sciences translation", "Regulatory compliance" ], "coreResponsibilities" : "Adapt target text to meet compliance standards, Validate target text to meet compliance standards, Translate for pharmaceuticals, Translate for medical devices, Translate for biotechnology, Work within strict GxP environments, Adhere to ISO 17100 quality standards", "domainKnowledge" : "Clinical protocols; Pharmacovigilance; Labelling regulations; GxP environments; ISO 17100 quality standards; FDA compliance; EMA compliance; PMDA compliance", "domainList" : [ "clinical-protocols", "pharmacovigilance", "labelling-regulations", "gxp-environments", "iso-17100-quality-standards", "fda-compliance", "ema-compliance", "pmda-compliance" ], "domainSpecificKnowledge" : [ "Clinical protocols", "Pharmacovigilance", "Labelling regulations", "GxP environments", "ISO 17100 quality standards", "FDA compliance", "EMA compliance", "PMDA compliance" ], "qualificationsBasic" : "Native-level proficiency in target language, Graduate qualification in translation, linguistics, or language studies, Graduate qualification in another field plus 2 years professional translation experience, 5 years of full-time professional translation experience, Ability to follow terminology and reference materials precisely, Professional experience in translation and localization within Medical/Life Sciences domains", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are currently searching for linguists to join our Medical Talent Community. Given the highly regulated nature of the products in the American market, we are looking for senior linguists with a proven track record specifically within the Life Sciences vertical. We prioritize linguists who understand the nuances of [e.g., Clinical protocols / Pharmacovigilance / Labelling regulations]. Your specialized expertise will contribute to high-stakes medical and regulatory content. WHAT YOU’LL DELIVER - Regulatory Review: Adapting and validating target text to meet [e.g., PMDA / EMA / FDA] compliance standards. - Life Sciences Expertise: Demonstrable experience in translating for pharmaceuticals, medical devices, or biotechnology. - Standard Operating Procedures: Ability to work within strict GxP environments and adhere to ISO 17100 quality standards. QUALIFICATIONS - Native-level proficiency in the target language(s) - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely. - Professional experience in translation and localization within the Medical/Life Sciences domains. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor, you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR LIFE SCIENCES COMMUNITY To ensure we meet our client's regulatory obligations, all Life Sciences partners must complete the following: Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Experience Verification: Providing a project list or references highlighting past work in regulated medical markets. Step 3: Compliance Audit: Confirmation of familiarity with relevant local regulations (e.g., the American Pharmaceutical and Medical Devices Act for American-bound content). Step 4: Specialized Assessment: Completion of a domain-specific translation or review test. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Linguist - Chinese into English (Medical) at LILT. Skills: Medical translation, Life Sciences translation, Regulatory compliance. Adapt target text to meet compliance standards. Validate target text to meet compliance standards", "postedDate" : "2026-06-11T17:42:14.796", "createdAt" : "2026-06-11T17:42:14.796", "lastUpdated" : "2026-06-14T20:05:16.652", "ingestTimestamp" : "2026-06-11T17:42:14.796", "mongoId" : "6a2a714374d8ee00a0648c3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Translation", "Localization", "Medical translation", "Life Sciences translation", "Regulatory compliance", "Life Sciences Expertise", "Regulatory Review", "Medical content translation", "Regulatory content translation", "Clinical protocols", "Pharmacovigilance", "Labelling regulations", "GxP environments", "ISO 17100 quality standards", "FDA compliance", "EMA compliance", "PMDA compliance" ], "skillCount" : 17, "jobCategory" : "other", "jobSubcategory" : "liltlancer-community", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Life Sciences" }, { "id" : "6a2cb05a74d8ee00a09d9b29", "title" : "Model Risk Specialist", "company" : "Nubank", "industry" : "Risk Management", "salary" : { "min" : 215000.0, "max" : 345000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Model Risk Specialist in São Paulo, Brazil, adjusted for the FinTech industry and company size." }, "location" : "São Paulo", "locations" : [ "São Paulo" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T07:44:36.684", "fingerprint" : "04ab110e45605f68cbef3093934bc3114e11d05a0d3d6a2e187723b9f9d05e16", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nubank/412f91c7-dfda-42d5-8a5b-2c848b013636/application", "externalId" : "412f91c7-dfda-42d5-8a5b-2c848b013636", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, Scala, Spark, SQL, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Delta Lake", "professionalSkills" : [ "Risk assessment", "Model validation", "Data governance", "Feature engineering", "MLOps", "CI/CD", "Model monitoring", "Risk management", "Control design", "Governance frameworks" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Generative AI", "Agentic AI", "Quantitative analysis", "Data engineering", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Analytics engineering", "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" : "Model risk, AI risk, Data infrastructure, MLOps", "majorSkillsList" : [ "Model risk", "AI risk", "Data infrastructure", "MLOps" ], "coreResponsibilities" : "Review data and infrastructure environments, Assess risks across model lifecycle infrastructure, Evaluate feature engineering pipelines, Evaluate feature stores, Evaluate CI/CD for models, Evaluate deployment platforms, Evaluate model monitoring systems, Assess data governance practices, Identify gaps in data governance, Identify and escalate risks, Establish and enhance controls, Validate data and infrastructure, Review first-line processes, Challenge first-line procedures, Partner to define KRIs, Monitor KRIs, Contribute to model governance framework, Develop tools for risk management, Improve analyses for risk management, Build reporting solutions, Build monitoring solutions, Support internal audits, Support regulatory inquiries, Discuss risk status with stakeholders, Report risk findings to stakeholders, Present independent opinions", "teamCollaboration" : "Model teams; Data platform teams; First-line teams; Senior managers", "domainKnowledge" : "Data Mesh architecture; Data lineage; Feature governance; Model monitoring concepts; Drift detection; Pipeline stability; Performance degradation tracking; ERM; COSO; SR 11-7; SR 26-2; OCC 2011-12; NIST AI RMF", "domainList" : [ "data-mesh-architecture", "data-lineage", "feature-governance", "model-monitoring-concepts", "drift-detection", "pipeline-stability", "performance-degradation-tracking", "erm", "coso", "sr-11-7", "sr-26-2", "occ-2011-12", "nist-ai-rmf" ], "domainSpecificKnowledge" : [ "Data Mesh architecture", "Data lineage", "Feature governance", "Model monitoring concepts", "Drift detection", "Pipeline stability", "Performance degradation tracking", "ERM", "COSO", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Traceable assessments; Reproducible assessments", "continuousLearning" : "Nucleo learning platform", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, Prior experience in model risk management, Experience in a 2nd or 3rd line of defense, Familiarity with model risk frameworks, Familiarity with regulatory expectations", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT NU Nu is one of the largest digital financial services platforms in the world, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our institutional page: https://www.nu.com/2026-en ABOUT US Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! https://international.nubank.com.br/careers/ ABOUT THE ROLE At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. This is an individual contributor role, you will both review and assess what first-line teams build, and actively develop tools, playbooks, and analyses to mature our risk practices. You will focus on the infrastructure and data risks that surround model development and deployment: feature engineering and feature stores, MLOps pipelines, model monitoring, deployment platforms, and data governance practices. You will work closely with model and data platform teams to identify, assess, and report risks independently, bringing a second-line perspective without losing technical depth. RESPONSIBILITIES Infrastructure & Data Risk Assessment - Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models, assessing reliability, stability, and fitness for purpose. - Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems. - Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk. - Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle. Controls & Governance - Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment. - Review and challenge first-line processes, procedures, and controls against internal policies, industry frameworks, and regulatory expectations. - Partner with model and data platform teams to define and monitor Key Risk Indicators (KRIs) for infrastructure and data risk. - Contribute to the evolution of Nubank's model governance framework with an infrastructure and data lens. Tooling & Playbooks - Develop and improve tools, analyses, and playbooks specific to infrastructure and data risk management. - Build reporting and monitoring solutions that provide clear, continuous visibility into the health of model infrastructure and data environments. - Support internal audit and regulatory inquiries with well-documented, traceable, and reproducible risk assessments. Stakeholder Engagement - Discuss and report infrastructure and data risk status, findings, and independent opinions with stakeholders across the organization, including senior managers. - Collaborate with model teams, data platform engineers, and governance partners to drive risk-aware design decisions without slowing responsible innovation. - Work in a multicultural, diverse, and highly skilled environment. QUALIFICATIONS - Bachelor's or master's degree in computer science, data science, statistics, mathematics, engineering, or a related field. - Strong programming skills: Proficiency in Python and SQL; experience with Spark/Scala is a plus. - ML infrastructure knowledge: Hands-on familiarity with MLOps practices, CI/CD pipelines for models, feature stores, and cloud-based ML platforms (AWS, GCP, or Azure). - Data governance: Understanding of Data Mesh architecture and principles, data lineage, data quality frameworks, and feature governance practices. - Model monitoring: Experience with model and data monitoring concepts, including drift detection, pipeline stability, and performance degradation tracking. - Good written and verbal communication skills in English - Understanding of risk management principles, control design, and governance frameworks (e.g. ERM, COSO); experience in a 2nd or 3rd line of defense is a strong plus. - Prior experience in model risk management, model validation, or a data/ML engineering role transitioning into risk (nice to have) - Familiarity with model risk frameworks and regulatory expectations (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF)-(nice to have) Location & Work Model Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. This position is based in Sao Paulo, Brazil. BENEFITS - Chance of earning equity at Nubank - Food/ Meal Card (Vale-Refeição and/or Vale Alimentação) - Public Transportation Commuting Benefit (Vale-Transporte) - NuCare – Psychological, Financial and Legal Assistance Program - Life Insurance - Medical Plan - Dental Plan - NuLanguage – Language Course Program - Nucleo - Our learning platform of courses - Extended Parental Leave - Daycare Allowance - Parental Consultancy - Work-from-home Allowance - Gym Partnerships - 30 days of paid vacation - Relocation Assistance Package, if applicable By submitting an application, I acknowledge that I have read and understand the Nubank Candidate Privacy Notice. Nubank Candidate Privacy Notice (English https://building.nubank.com/privacy-notice-for-candidates// Portuguese https://building.nubank.com/pt-br/aviso-de-privacidade-para-candidatos/ / Spanish). https://nu.com.mx/aviso-de-privacidad-candidatos/", "summaryDescription" : "Model Risk Specialist at Nubank. Skills: Model risk, AI risk, Data infrastructure, MLOps. Review data and infrastructure environments. Assess risks across model lifecycle infrastructure", "createdAt" : "2026-06-13T21:45:30.592", "lastUpdated" : "2026-06-15T07:44:36.684", "ingestTimestamp" : "2026-06-13T21:45:30.592", "mongoId" : "6a2cb05a74d8ee00a09d9b29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Generative AI", "Agentic AI", "Quantitative analysis", "Data engineering", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model risk", "AI risk", "Data infrastructure", "MLOps", "Risk assessment", "Model validation", "Data governance", "Feature engineering", "CI/CD", "Model monitoring", "Risk management", "Control design", "Governance frameworks", "Data Mesh architecture", "Data lineage", "Feature governance", "Model monitoring concepts", "Drift detection", "Pipeline stability", "Performance degradation tracking", "ERM", "COSO", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a728574d8ee00a064ca5d", "title" : "Postdoctoral Research Scientist, OAE Process-Model Testbed", "company" : "[C]Worthy", "industry" : "[C]worthy", "salary" : { "min" : 83000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Boulder, CO", "locations" : [ "Boulder, CO" ], "timestamp" : "2026-06-15T00:37:16.499", "fingerprint" : "09ba3ba8fa189e2dd95dfd1da601fd3b4bb61f1aa882c4d24e29c850a9cf205d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/convergentresearch/e62d0373-df49-42f2-ad4d-73d99329d781/apply", "externalId" : "e62d0373-df49-42f2-ad4d-73d99329d781", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulder", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0149856,-105.2705450" } ], "locationText" : "Boulder, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Python, Fortran, Julia, ROMS-MARBL", "professionalSkills" : [ "Ocean biogeochemistry", "Carbonate chemistry", "Marine carbon cycling", "Mineral dissolution kinetics", "Precipitation kinetics", "Particle dynamics", "Numerical experiments", "Model calibration", "Model validation" ], "hardSkillsList" : [ "Biogeochemical modeling", "Process parameterization", "Uncertainty quantification", "Data interpretation" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Biogeochemical modeling", "level" : "intermediate" }, { "name" : "Process parameterization", "level" : "intermediate" }, { "name" : "Uncertainty quantification", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Biogeochemical modeling, Process-model testbed development, Parameterization calibration, Uncertainty quantification", "majorSkillsList" : [ "Biogeochemical modeling", "Process-model testbed development", "Parameterization calibration", "Uncertainty quantification" ], "coreResponsibilities" : "Design and implement a one-dimensional OAE process-model testbed, Develop a generalized representation of explicitly sinking particulate, Develop and calibrate representations of particles generated in, Run large perturbed-parameter ensembles to systematically explore parameter, Quantitatively assess uncertainty in OAE-relevant outcomes, Validate parameterizations against existing empirical datasets, Develop and/or implement a simplified model of alkalinity, Implement all process formulations within the ROMS-MARBL framework, Contribute to C-Star software infrastructure, Develop tutorials and demonstrations for how to use, Maintain active, substantive collaboration with industry partners, Submit peer-reviewed manuscripts documenting parameterization calibration, validation, and, Contribute to [C]Worthy's broader scientific program", "teamCollaboration" : "Industry partners; Research partners; Cross-functional teams", "domainKnowledge" : "Oceanographic models; Ocean-based carbon dioxide removal; Ocean CDR; Ocean science; Ocean governance; Marine resource management; OAE efficacy; Alkalinity addition; Mineral particulate dissolution; Precipitation kinetics; Particle transport; Sediment alkalinity cycling; Regional-scale water column; Biogeochemical processes; Computational cost; 3D ocean simulations; Perturbed-parameter ensembles; Laboratory and field datasets; Marine biogeochemistry; Carbonate chemistry; Alkalinity; Marine carbon cycling; Mineral dissolution; Mineral precipitation; Alkalinity-modifying processes", "domainList" : [ "oceanographic-models", "ocean-based-carbon-dioxide-removal", "ocean-cdr", "ocean-science", "ocean-governance", "marine-resource-management", "oae-efficacy", "alkalinity-addition", "mineral-particulate-dissolution", "precipitation-kinetics", "particle-transport", "sediment-alkalinity-cycling", "regional-scale-water-column", "biogeochemical-processes", "computational-cost", "3d-ocean-simulations", "perturbed-parameter-ensembles", "laboratory-and-field-datasets", "marine-biogeochemistry", "carbonate-chemistry", "alkalinity", "marine-carbon-cycling", "mineral-dissolution", "mineral-precipitation", "alkalinity-modifying-processes" ], "domainSpecificKnowledge" : [ "Oceanographic models", "Ocean-based carbon dioxide removal", "Ocean CDR", "Ocean science", "Ocean governance", "Marine resource management", "OAE efficacy", "Alkalinity addition", "Mineral particulate dissolution", "Precipitation kinetics", "Particle transport", "Sediment alkalinity cycling", "Regional-scale water column", "Biogeochemical processes", "Computational cost", "3D ocean simulations", "Perturbed-parameter ensembles", "Laboratory and field datasets", "Marine biogeochemistry", "Carbonate chemistry", "Alkalinity", "Marine carbon cycling", "Mineral dissolution", "Mineral precipitation", "Alkalinity-modifying processes" ], "toolProficiency" : [ "C-Star", "ROMS-MARBL" ], "communicationSkills" : "Communicate findings clearly; Scientific communication", "documentationSkills" : "Documentation", "innovationCreativity" : "Rapid model prototyping; Rapid model iteration", "problemSolvingSkills" : "Systematic numerical experiments; Uncertainty characterization", "outcomesObjectives" : "Increase skill and confidence in estimates of total alkalinity delivery; Translate scientific advances into improved operational MRV tools", "qualificationsBasic" : "PhD in oceanography, marine chemistry, geochemistry, chemical oceanography, or related field, Background in ocean biogeochemistry, Familiarity with marine mineral dissolution/precipitation kinetics and/or particle dynamics, Scientific software development proficiency, Experience working with biogeochemical model code, Ability to design systematic numerical experiments, Interpret results in light of observational constraints, Communicate findings clearly, Collaborative disposition, Comfort working in partnership with industry stakeholders", "qualificationsPreferred" : "Experience with MARBL or comparable marine biogeochemistry model, Familiarity with ROMS-MARBL coupling, Prior research on OAE, mineral weathering and dissolution, mineral precipitation, or related alkalinity-modifying processes, Experience developing, calibrating, or validating models, Laboratory or field experience with OAE experiments, tracer releases, or marine carbonate chemistry measurements, Familiarity with Bayesian calibration methods, ensemble parameter estimation, or uncertainty quantification, Interest in agentic AI applications for scientific model development and workflow automation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description About [C]Worthy [C]Worthy is a non-profit research organization focused on transforming research-grade oceanographic models into open, reproducible, and auditable decision-support tools for ocean-based carbon dioxide removal (CDR). Our mission is to deliver trustworthy, science-backed tools for Monitoring, Reporting, and Verification (MRV)—enabling governments, communities, and markets to make high-stakes ocean decisions grounded in transparent, scientifically credible evidence. We are building three interlocking open-science capabilities: C-Star, an open-source modeling platform that systematizes regional ocean model configuration, execution, and evaluation through versioned inputs, automated workflows, and comprehensive provenance tracking; the C-Star Ocean Network (C-SON), a growing constellation of standardized regional modeling domains designed to support consistent CDR accounting across sites and regions; and the Ocean CDR Atlas, an open dataset library and web tools that map CDR performance, connectivity, and risk drivers across ocean regions—providing the basis for low-cost MRV evaluation and standard-setting worldwide. These capabilities are not CDR tools alone—they are the foundation for scalable ocean science. Robust shared infrastructure makes knowledge transferable and auditable: once validated domains, standardized workflows, and reusable tooling are in place, the marginal cost of each additional application falls and the benefits of research innovation can flow across a network of projects and regions. We aspire to democratize access to sophisticated ocean information tools, empowering diverse scientific communities to participate in ocean governance and marine resource management on their own terms. [C]Worthy is headquartered in Boulder, Colorado. For full consideration, please apply by June 24, 2026. Applications received after this date may be reviewed on a rolling basis until the position is filled. ## Role Overview We are seeking a Postdoctoral Research Scientist to develop a one-dimensional (1D) OAE process-model testbed within the C-Star modeling system. This lightweight, rapidly iterable modeling environment is designed to isolate and characterize the biogeochemical processes most critical to OAE efficacy in the vicinity of alkalinity addition: mineral particulate dissolution and precipitation kinetics, particle transport and sinking, electrochemical alkalinity addition, and sediment alkalinity cycling. The processes identified by the 1D testbed will enable increasing skill and confidence in estimates of total alkalinity delivery into the regional-scale water column, and act as a tool for uncertainty characterization. The resulting parameterizations will feed directly into three-dimensional ROMS-MARBL regional model configurations—ensuring that scientific advances made in the testbed translate immediately into improved operational MRV tools across [C]Worthy's full modeling stack. This project addresses a fundamental bottleneck in OAE science: the mismatch between the complexity of the relevant biogeochemical processes and the computational cost of resolving them in full 3D ocean simulations. The 1D testbed eliminates that mismatch, enabling rapid parameter sweeps, systematic perturbed-parameter ensembles, and clean comparison against laboratory and field datasets. The work proceeds in close collaboration with industry partners including Ebb Carbon, Planetary, and Isometric, who will contribute empirical constraints from field and laboratory deployments. ## Key Responsibilities Testbed Development and Scientific Investigation Design and implement a one-dimensional OAE process-model testbed within C-Star, using a lightweight physical solution (idealized mixing, turbulence, lateral flows) that allows rapid model prototyping and iteration. Develop a generalized representation of explicitly sinking particulate material within the MARBL biogeochemical model, including parameterizations of mineral dissolution (e.g., olivine, calcite), precipitation kinetics, and particle sinking velocities. Develop and calibrate representations of particles generated in situ by electrochemical and mineral alkalinity addition, in collaboration with industry and other research partners. Run large perturbed-parameter ensembles to systematically explore parameter space and quantitatively assess uncertainty in OAE-relevant outcomes. Validate parameterizations against existing empirical datasets from laboratory experiments and field deployments, in close collaboration with Ebb Carbon, Planetary Technologies and other partners. Develop and/or implement a simplified model of alkalinity cycling in seafloor sediments, characterizing the level of sediment process representation required for robust OAE simulation at regional scales. Integration and Infrastructure Implement all process formulations within the ROMS-MARBL framework so that validated parameterizations are immediately portable to three-dimensional C-Star configurations. Contribute to C-Star software infrastructure, ensuring the testbed is a first-class C-Star component with proper blueprint and workplan schema, documentation, and reproducibility. Develop tutorials and demonstrations for how to use the testbed to develop and improve OAE-related parameterizations—supporting the broader research community's ability to contribute process advances. Scientific Communication and Collaboration Maintain active, substantive collaboration with Ebb Carbon, Planetary Technology, Isometric, and other partners to ensure model development is grounded in practical implementation and observational reality. Submit peer-reviewed manuscripts documenting parameterization calibration, validation, and scientific findings. Contribute to [C]Worthy's broader scientific program, including participation in field-building, user roundtables, and community engagement. ## Required Qualifications Ph.D. in oceanography, marine chemistry, geochemistry, chemical oceanography, or a closely related field. Strong background in ocean biogeochemistry, including carbonate chemistry, alkalinity, and marine carbon cycling. Familiarity with marine mineral dissolution/precipitation kinetics and/or particle dynamics. Scientific software development proficiency in Python; experience working with biogeochemical model code (Python, Fortran, or Julia). Ability to design systematic numerical experiments, interpret results in light of observational constraints, and communicate findings clearly. Collaborative disposition and comfort working in partnership with industry stakeholders alongside academic researchers. ## Preferred Qualifications Experience with MARBL or a comparable marine biogeochemistry library; familiarity with ROMS-MARBL coupling. Prior research on OAE, mineral weathering and dissolution, mineral precipitation, or related alkalinity-modifying processes. Experience developing, calibrating, or validating models. Laboratory or field experience with OAE experiments, tracer releases, or marine carbonate chemistry measurements. Familiarity with Bayesian calibration methods, ensemble parameter estimation, or uncertainty quantification. Interest in agentic AI applications for scientific model development and workflow automation. ## Additional Information This position is full-time, fixed-term (2 years, with possibility of renewal), subject to funding availability. ", "summaryDescription" : "Postdoctoral Research Scientist, OAE Process-Model Testbed at [C]Worthy. Skills: Biogeochemical modeling, Process-model testbed development, Parameterization calibration, Uncertainty quantification. Design and implement a one-dimensional OAE process-model testbed. Develop a generalized representation of explicitly sinking particulate", "postedDate" : "2026-06-10T21:45:21.976", "createdAt" : "2026-06-10T21:45:21.976", "lastUpdated" : "2026-06-15T00:37:16.499", "ingestTimestamp" : "2026-06-12T06:29:12.494", "mongoId" : "6a2a728574d8ee00a064ca5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 83000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Biogeochemical modeling", "Process parameterization", "Uncertainty quantification", "Data interpretation", "Critical thinking", "Process-model testbed development", "Parameterization calibration", "Ocean biogeochemistry", "Carbonate chemistry", "Marine carbon cycling", "Mineral dissolution kinetics", "Precipitation kinetics", "Particle dynamics", "Numerical experiments", "Model calibration", "Model validation", "Oceanographic models", "Ocean-based carbon dioxide removal", "Ocean CDR", "Ocean science", "Ocean governance", "Marine resource management", "OAE efficacy", "Alkalinity addition", "Mineral particulate dissolution", "Particle transport", "Sediment alkalinity cycling", "Regional-scale water column", "Biogeochemical processes", "Computational cost", "3D ocean simulations", "Perturbed-parameter ensembles", "Laboratory and field datasets", "Marine biogeochemistry", "Alkalinity", "Mineral dissolution", "Mineral precipitation", "Alkalinity-modifying processes", "C-Star", "ROMS-MARBL" ], "skillCount" : 40, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Oceanographic Research" }, { "id" : "6a2c9e1e74d8ee00a099d73f", "title" : "Lead Data/Data Modeling", "company" : "Fusion Consulting", "industry" : "Management Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Data/Data Modeling roles in Frankfurt am Main, Germany, adjusted for the consulting industry and lead seniority." }, "location" : "Frankfurt am Main, HE, Germany", "locations" : [ "Frankfurt am Main", "HE", "Germany" ], "timestamp" : "2026-06-15T09:50:52.930", "fingerprint" : "46450ae18899bc785c68eb062b767b3f1f9f33d48d147d63df855b1fb322f9ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FusionConsulting/744000131902938-lead-data-data-modeling", "externalId" : "744000131902938", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frankfurt am Main", "state" : "Hesse", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.1106444,8.6820917" } ], "locationText" : "Frankfurt am Main, Hesse, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Stakeholder management", "Data Governance", "Data Management", "Data Quality", "Data Lifecycle", "Master data", "Data architecture" ], "hardSkillsList" : [ "Organizational skills", "Planning capabilities", "Reporting capabilities" ], "hardSkills" : [ { "name" : "Organizational skills", "level" : "intermediate" }, { "name" : "Planning capabilities", "level" : "intermediate" }, { "name" : "Reporting capabilities", "level" : "intermediate" } ], "majorSkills" : "Project Management, PMO, Program Management, Project Coordination", "majorSkillsList" : [ "Project Management", "PMO", "Program Management", "Project Coordination" ], "coreResponsibilities" : "Coordinate Data Governance project activities, Coordinate Data Management project activities, Drive project planning, Drive milestone tracking, Drive risk management, Drive dependency management, Facilitate workshops, Facilitate steering committees, Facilitate stakeholder meetings, Act as primary point of contact, Ensure effective communication, Monitor project progress, Provide regular status reporting, Support resource planning, Support workload coordination, Track action items, Track decisions, Track deliverables, Promote adherence to governance frameworks, Promote adherence to project standards, Promote adherence to delivery methodologies, Support change management activities, Support stakeholder engagement activities", "teamCollaboration" : "Business stakeholders; Data teams; Project leadership; Technical teams; Cross-functional teams", "projectManagementSkills" : [ "Agile", "Waterfall", "Hybrid approaches" ], "domainKnowledge" : "Life Sciences industry; Data Governance; Data Management; Data Quality; Data Lifecycle; Master data; Data architecture", "domainList" : [ "life-sciences-industry", "data-governance", "data-management", "data-quality", "data-lifecycle", "master-data", "data-architecture" ], "domainSpecificKnowledge" : [ "Life Sciences industry", "Data Governance", "Data Management", "Data Quality", "Data Lifecycle", "Master data", "Data architecture" ], "communicationSkills" : "Stakeholder communication; Executive-level meetings", "continuousLearning" : "Annual Training Budget; Continuous Learning", "qualificationsBasic" : "Proven experience in Project Management, Experience coordinating cross-functional teams, Knowledge of project management methodologies, Fluency in German, Fluency in English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. We are currently seeking an experienced Project Management Officer (PMO) to support and coordinate Data Governance and Data Management initiatives within a complex international environment. The successful candidate will act as the central coordination point between business stakeholders, data teams, and project leadership, ensuring alignment, transparency, and timely delivery across multiple workstreams. Key Responsibilities * Coordinate and oversee Data Governance and Data Management project activities across multiple teams and stakeholders * Drive project planning, milestone tracking, risk management, and dependency management * Facilitate workshops, steering committees, and stakeholder meetings to ensure alignment on priorities and objectives * Act as the primary point of contact for business stakeholders, project teams, and leadership * Ensure effective communication between technical and business teams * Monitor project progress and provide regular status reporting, including risks, issues, and mitigation plans * Support resource planning and workload coordination across project streams * Track action items, decisions, and deliverables to ensure successful project execution * Promote adherence to governance frameworks, project standards, and delivery methodologies * Support change management and stakeholder engagement activities throughout the project lifecycle ## Qualifications Key Skills & Experience * Proven experience in Project Management, PMO, Program Management, or Project Coordination roles * Excellent stakeholder management and communication skills * Strong understanding of Data Governance, Data Management, Data Quality, and Data Lifecycle concepts * Ability to work effectively with both business and technical teams * Experience coordinating cross-functional teams in complex enterprise environments * Strong organizational, planning, and reporting capabilities * Experience facilitating workshops, steering committees, and executive-level meetings * Familiarity with data-related projects, including data governance, master data, data quality, or data architecture initiatives * Knowledge of project management methodologies (Agile, Waterfall, or hybrid approaches) * Fluency in German and English is mandatory ## Additional Information Why Fusion? At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients. We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning—for themselves and their colleagues. We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities. Our Benefits: * Workflex: Enjoy 25 days of flexibility to work from your preferred global location. * Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. * Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. * Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. * Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. * Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. * Referral Program: Earn a referral fee for every successfully hired referee. * Local Benefits: Access a range of country-specific benefits tailored to your location. * People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. * Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.", "summaryDescription" : "Lead Data/Data Modeling at Fusion Consulting. Skills: Project Management, PMO, Program Management, Project Coordination. Coordinate Data Governance project activities. Coordinate Data Management project activities", "postedDate" : "2026-06-12T13:18:18.000", "createdAt" : "2026-06-14T05:48:23.595", "lastUpdated" : "2026-06-15T09:50:52.930", "ingestTimestamp" : "2026-06-14T05:48:23.595", "mongoId" : "6a2c9e1e74d8ee00a099d73f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Organizational skills", "Planning capabilities", "Reporting capabilities", "Project Management", "PMO", "Program Management", "Project Coordination", "Stakeholder management", "Data Governance", "Data Management", "Data Quality", "Data Lifecycle", "Master data", "Data architecture", "Agile", "Waterfall", "Hybrid approaches", "Life Sciences industry" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f4074d8ee00a08ea5e0", "title" : "Translator", "company" : "Nscale", "salary" : { "min" : 4.8E7, "max" : 7.2E7, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Translator in Seoul, South Korea, adjusted for the Technology industry and a mid-sized company." }, "location" : "South Korea", "locations" : [ "South Korea" ], "timestamp" : "2026-06-14T19:00:41.684", "fingerprint" : "ec507560d2624933afbbabeaf1544c225aafa5870b6b181cbb945d182aadacd4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4866319101", "externalId" : "4866319101", "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "minimumEducation" : "Bachelor Degree", "rawDescription" : "About Nscale Nscale is building next-generation AI infrastructure designed for the demands of modern compute. We partner with leading technology companies to deliver scalable, high-performance infrastructure solutions that power AI innovation globally. As we continue expanding across Asia, we are seeking a highly capable Translator to support cross-border communication and collaboration across our international teams, clients, and partners. Translator We are looking for a trilingual Translator fluent in English, Mandarin, and Korean to be based in Seoul, Korea. This role will play a critical part in enabling seamless communication across business, technical, and operational functions within Nscale and with external stakeholders across APAC and global markets. The ideal candidate combines exceptional language proficiency with strong business acumen, cultural sensitivity, and the ability to work in fast-paced, highly technical environments. What You'll Be Doing Provide accurate and context-aware translation between English, Mandarin, and Korean across written and verbal communications to liaise with multi-regions counterparts Support meetings, conference calls, workshops, and business discussions with simultaneous interpretation Translate business, technical, legal, commercial, and operational documents, including: Contracts and agreements Presentations and reports Technical documentation Internal communications Marketing materials Ensure consistency in terminology, tone, and messaging across all translated materials Act as a cultural bridge between regional and global teams, helping facilitate effective collaboration Work closely with executives, project teams, vendors, and external partners across multiple time zones Maintain confidentiality and handle sensitive information with discretion Assist with coordination and communication support for regional business initiatives and partner engagements About You Bachelor Degree in Business/Translation/Linguistics, Communications or equivalent Experience in supporting Technology, infrastructure, AI, cloud or Data Centre industries Prior experience working in multi-national or high growth environment start-up environment Familiar with technical documentation and commercial agreements Ability to do simultaneous translation across English and Korean and/or Mandarin will be a plus to be able to translate across different countries Ability to travel extensively within Korea In All We Do, Our Core Values Guide Us Relentless Innovation At Nscale, we constantly push the boundaries of innovation, embracing creative risks to shape the future. Our aim is to deliver products that not only meet but exceed today’s expectations, setting new standards for tomorrow. Ownership and Accountability Every Nscaler is fully accountable for their work, driving it with excellence and urgency. We set high standards, ensuring that our contributions are not just good but exceptional. Openness and Transparency We believe trust and transparency are key to our success. We maintain open communication within our teams and with stakeholders, sharing both successes and challenges. Our open-source approach allows customers to explore our technology, building trust and ensuring our solutions are both innovative, secure, and reliable. Customer-Centric Focus Our customers are central to our mission, and we are committed to delivering impactful solutions that drive real-world success. We focus on deeply understanding their needs and challenges, striving to exceed expectations in both product quality and service. Sustainability We are dedicated to considering the long-term environmental and societal impacts of our technologies. By integrating sustainability into our operations and product development, we ensure that our innovations are both effective and responsible, contributing positively to the world around us. Full-Speed Collaboration Collaboration at Nscale is fast, efficient, and respectful. We work together seamlessly, with clear communication and mutual respect, ensuring our shared goals are met with high standards and impactful outcomes. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Translator at Nscale", "postedDate" : "2026-06-12T22:17:46.388", "createdAt" : "2026-06-12T22:17:46.388", "lastUpdated" : "2026-06-14T19:00:41.684", "ingestTimestamp" : "2026-06-12T22:17:46.388", "mongoId" : "6a2c5f4074d8ee00a08ea5e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "strategy-&-corporate-development", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7a7b74d8ee00a09459db", "title" : "Research Analyst (SAS and R)", "company" : "DLH", "industry" : "Government", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T08:35:13.886", "fingerprint" : "044adf264f86f139f7006f1e692c2a1b6adc98c8ab72cf00ef85c0d9ebb4accc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dlhcorporation/jobs/5159830007", "externalId" : "5159830007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SAS, R, SQL, Python", "professionalSkills" : [ "Data validation", "Data management", "Data analysis", "Data dissemination", "Geospatial analysis", "Molecular analysis", "Code development" ], "hardSkillsList" : [ "Statistical analysis", "Data quality assessment", "Data discrepancy identification", "Codebook development", "Data management plans", "Duplicate procedures", "SAS programming", "R coding", "HIV analysis", "Molecular analysis", "Report generation", "Data manipulation", "Data cleaning" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data quality assessment", "level" : "intermediate" }, { "name" : "Data discrepancy identification", "level" : "intermediate" }, { "name" : "Codebook development", "level" : "intermediate" }, { "name" : "Data management plans", "level" : "intermediate" }, { "name" : "Duplicate procedures", "level" : "intermediate" }, { "name" : "SAS programming", "level" : "intermediate" }, { "name" : "R coding", "level" : "intermediate" }, { "name" : "HIV analysis", "level" : "intermediate" }, { "name" : "Molecular analysis", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" } ], "majorSkills" : "SAS, R, Data analysis, Data validation", "majorSkillsList" : [ "SAS", "R", "Data analysis", "Data validation" ], "coreResponsibilities" : "Develop SAS programs, Validate surveillance data, Validate clinical data, Validate research data, Verify dataset variables, Identify data discrepancies, Develop codebooks, Develop data management plans, Run duplicate procedures, Compare results, Conduct geospatial analysis, Conduct molecular analysis, Interpret R results, Develop novel code, Support data dissemination, Support data reporting, Work with federal partners, Support funded jurisdictions, Support funded CBOs", "teamCollaboration" : "Work collaboratively with analysts; Work alongside federal partners", "domainKnowledge" : "HIV surveillance; Molecular data; Public health; Public health surveillance", "domainList" : [ "hiv-surveillance", "molecular-data", "public-health", "public-health-surveillance" ], "domainSpecificKnowledge" : [ "HIV surveillance", "Molecular data", "Public health", "Public health surveillance" ], "toolProficiency" : [ "SAS", "R", "Power BI" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Codebook development; Data management plans; Meticulous documentation", "problemSolvingSkills" : "Identify data discrepancies; Data quality assessment", "specialRequirements" : "Obtain NAC clearance, Reside near Atlanta, Reside near Chicago, Reside near Washington DC, Occasional in-person meetings", "qualificationsBasic" : "Bachelor's degree, 2 years of experience, SAS or R experience, Work with multiple data sources, Strong SAS experience, Clear communication", "qualificationsPreferred" : "Experience with HIV surveillance, Prior experience with federal agency, Master's degree, Experience creating dashboards, Generating SAS-based reports, Knowledge of HIV, Experience with large datasets, Detail-oriented, Organizational skills, Interpersonal skills, Proficient SAS or R coding, Manipulating and cleaning data, Experience with surveillance data, Experience with research data", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview DLH Corp, is looking for a Public Health Research Analyst, using SAS or R, to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC). This position is 100% remote. However, employees may be required to attend occasional in-person meetings, trainings, or team events on an as-needed basis. To support onboarding and compliance requirements, candidates must reside within reasonable commuting distance of Atlanta, GA; Chicago, IL; or Washington, DC. Access to one of these secure office locations is required for smart card issuance, background investigation processing, and other periodic administrative or security-related activities. CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. Responsibilities Develop SAS programs for validating surveillance, clinical, or research study data. Verify that all variables that should be included in the resulting dataset are present in the dataset and extraneous variables are excluded. Identify data discrepancies and other inconsistencies in the resulting dataset. Develop codebooks and data management plans. Run duplicate procedures and comparison of results to ensure validity with applicable standards of the resulting final data sets, indicators, questionnaire coding, metadata set, SAS programming, and output files. Conduct geospatial and molecular HIV analysis and interpret results using R. Work collaboratively with other analysts to develop novel code in support of analyses. Support dissemination and reporting of data to internal and external partners. Work alongside federal partners to support funded jurisdictions or funded CBOs. Qualifications Bachelor’s degree in public health, statistics, or related field. 2 years of experience working with R or SAS Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness. Strong, demonstrated experience with SAS. Familiarity with R coding. Clear communication (written and verbal). Must be able to obtain a NAC clearance Preferred Qualifications Experience with HIV surveillance or research data. Prior experience with CDC, HHS, or other federal or state health agency. Master’s degree in public health, statistics, or related field. Experience creating and managing dashboards using Power BI. 2 years of experience in generating SAS-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTML. Knowledge of HIV, molecular data, and public health surveillance systems. Experience with large (>500,000 observations), document-based datasets. Detail-oriented and able to create meticulous documentation of variables, datasets, and data attributes with a commitment to generating accurate data and products. Strong organizational and interpersonal skills. Proficient SAS or R coding experience (SAS MACROS, PROC SQL, FORMATS, etc.). Manipulating and cleaning data using a variety of SAS functions, formats/informats, and procedures. Generating SAS-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTML. Experience with behavioral or clinical surveillance data and/or primary or secondary research data. Basic Compensation: $50,000 - $70,000 yearly salary The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law. Benefits DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions. #LI-REMOTE EEO DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply. DLH is committed to maintaining a fair and authentic interview process", "summaryDescription" : "Research Analyst (SAS and R) at DLH. Skills: SAS, R, Data analysis, Data validation. Develop SAS programs. Validate surveillance data", "postedDate" : "2026-06-14T03:34:53.454", "createdAt" : "2026-06-14T03:34:53.454", "lastUpdated" : "2026-06-15T08:35:13.886", "ingestTimestamp" : "2026-06-14T03:34:53.454", "mongoId" : "6a2c7a7b74d8ee00a09459db", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data quality assessment", "Data discrepancy identification", "Codebook development", "Data management plans", "Duplicate procedures", "SAS programming", "R coding", "HIV analysis", "Molecular analysis", "Report generation", "Data manipulation", "Data cleaning", "SAS", "R", "Data analysis", "Data validation", "Data management", "Data dissemination", "Geospatial analysis", "Code development", "HIV surveillance", "Molecular data", "Public health", "Public health surveillance", "Power BI" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ac3bf74d8ee00a06fb6a6", "title" : "Research and Development Intern", "company" : "AMAROK", "industry" : "Security Technology", "salary" : { "min" : 15.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Columbia, South Carolina, United States", "locations" : [ "Columbia", "South Carolina", "United States" ], "timestamp" : "2026-06-14T20:33:48.829", "fingerprint" : "a2366b18ddbafcb69f173f431bdd5ec8cc987e42ed4ec8185f9406cb55187454", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/amarok/jobs/6018661004", "externalId" : "6018661004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0007540,-81.0352313" } ], "locationText" : "Columbia, South Carolina, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Radio systems, Terminal blocks, Energizers, Power systems, Networking, Integration technologies", "professionalSkills" : [ "Product innovation", "Product development", "Product testing", "Failure analysis" ], "hardSkillsList" : [ "Technical documentation", "Test procedures", "Test results", "Hardware debugging", "Software debugging", "Performance testing", "Reliability checks", "Failure analysis", "Data interpretation" ], "hardSkills" : [ { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "Test procedures", "level" : "intermediate" }, { "name" : "Test results", "level" : "intermediate" }, { "name" : "Hardware debugging", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Reliability checks", "level" : "intermediate" }, { "name" : "Failure analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Product development, Product testing, Technical documentation", "majorSkillsList" : [ "Product development", "Product testing", "Technical documentation" ], "coreResponsibilities" : "Assist engineers in assembling prototypes, Assist engineers in testing prototypes, Assist engineers in assembling systems, Assist engineers in testing systems, Document test procedures, Document test results, Document modifications, Support troubleshooting efforts, Support debugging efforts, Participate in performance testing, Participate in reliability checks, Participate in failure analysis, Record test data, Organize test data, Maintain lab equipment, Maintain inventory of prototype components, Maintain testing tools, Create technical documentation, Update technical documentation, Communicate findings, Communicate roadblocks, Communicate questions, Update design logs, Update development records, Engage with cross-departmental teams, Observe team meetings, Participate in team meetings", "teamCollaboration" : "Cross-departmental teams; Engineering team; Product teams; Manufacturing teams; Quality teams; Team meetings", "domainKnowledge" : "Perimeter security; Industrial security technologies; Radio systems; Terminal blocks; Energizers; Power systems; Networking; Integration technologies", "domainList" : [ "perimeter-security", "industrial-security-technologies", "radio-systems", "terminal-blocks", "energizers", "power-systems", "networking", "integration-technologies" ], "domainSpecificKnowledge" : [ "Perimeter security", "Industrial security technologies", "Radio systems", "Terminal blocks", "Energizers", "Power systems", "Networking", "Integration technologies" ], "communicationSkills" : "Technical communication; Clear communication; Effective communication", "documentationSkills" : "Technical documentation; Test reports; Build instructions; Part specifications; Design logs; Development records", "continuousLearning" : "Gain exposure to real-world product development; Gain exposure to real-world testing processes", "innovationCreativity" : "Product innovation; Next-generation technologies", "problemSolvingSkills" : "Troubleshooting; Debugging; Failure analysis", "qualificationsBasic" : "Hands-on experience in product innovation, Passion for engineering, Desire to gain exposure to real-world product development, Desire to gain exposure to real-world testing processes", "qualificationsPreferred" : "Quick learner, Communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Information Recognized as one of the Best Places to Work in South Carolina, AMAROK is the Ultimate Perimeter Security solution. Our unique multi-layered perimeter security system reliably stops theft and other criminal activity by guarding our customers’ property and assets 24/7/365. More than 9,000 commercial and industrial properties across North America trust The Electric Guard Dog™ to keep their assets secure. Summary The Research and Development (R&D) Intern will support AMAROK’s R&D Engineering team in developing, testing, and documenting next-generation industrial security technologies. Reporting to a member of the R&D Engineering team, this role offers hands-on experience in product innovation and development. The intern will assist in building prototypes, executing tests, documenting technical findings, and supporting ongoing engineering projects related to radio systems, terminal blocks, energizers, power systems, networking, and integration technologies. This position is ideal for a quick learner with a passion for engineering, strong communication skills, and a desire to gain exposure to real-world product development and testing processes. This is an on-site, part-time internship with flexible scheduling around academic calendars. Hourly Compensation Range: $15.00-$19.00. Compensation is determined based on competitive market data, experience, skillset and geographical location. Essential Duties and Responsibilities: R&D Project Support Assist engineers in assembling and testing prototypes and systems related to AMAROK’s security technology solutions. Document test procedures, results, and modifications in technical formats for engineering use. Support troubleshooting and debugging efforts across hardware and software components. Product Testing & Validation Participate in performance testing, reliability checks, and failure analysis of in-development components. Record and organize test data, helping engineers interpret results and identify opportunities for improvement. Maintain lab equipment, inventory of prototype components, and testing tools. Documentation & Technical Communication Create and update technical documentation including test reports, build instructions, and part specifications. Communicate findings, roadblocks, and questions to the engineering team clearly and effectively. Work collaboratively with team members to update design logs and development records. Collaboration & Communication Occasionally engage with cross-departmental teams (such as Product, Manufacturing, or Quality) to understand downstream impacts of engineering decisions. Observe and participate in team meetings, gaining insight into project planning, prioritization, and coordination across the business See what our employees have to say about working for AMAROK! https://www.glassdoor.com/Reviews/AMAROK-Reviews-E603124.htm Our recruiting experience is digital! AMAROK is an EEO/Affirmative Action Employer and will make all employment related decisions without regard to age, race, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Once you submit your application, AMAROK will process the provided personal data to evaluate your candidacy for employment. For details regarding how your personal data will be used during an interview process, and to understand our commitment to keeping your personal data safe, please review our Data Privacy Policy here – https://amarok.com/privacy-policy/", "summaryDescription" : "Research and Development Intern at AMAROK. Skills: Product development, Product testing, Technical documentation. Assist engineers in assembling prototypes. Assist engineers in testing prototypes", "postedDate" : "2026-06-11T21:41:03.761", "createdAt" : "2026-06-11T21:41:03.761", "lastUpdated" : "2026-06-14T20:33:48.829", "ingestTimestamp" : "2026-06-11T21:41:03.761", "mongoId" : "6a2ac3bf74d8ee00a06fb6a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Technical documentation", "Test procedures", "Test results", "Hardware debugging", "Software debugging", "Performance testing", "Reliability checks", "Failure analysis", "Data interpretation", "Product development", "Product testing", "Product innovation", "Perimeter security", "Industrial security technologies", "Radio systems", "Terminal blocks", "Energizers", "Power systems", "Networking", "Integration technologies" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "research-development", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Security Technology" }, { "id" : "6a2a839674d8ee00a0676940", "title" : "Manager, Benefit Design & Requirements", "company" : "AffirmedRx, PBC", "industry" : "Healthcare", "salary" : { "min" : 115500.0, "max" : 167500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline adjusted for manager seniority, healthcare industry, and Louisville, KY city tier." }, "location" : "Louisville, Kentucky, United States", "locations" : [ "Louisville", "Kentucky", "United States" ], "timestamp" : "2026-06-14T20:10:08.621", "fingerprint" : "f32eadef2996df129160f1f6d6d088ea63ed5e77f230ceabd519d542ba3cf402", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/affirmedrxpbc/jobs/5253318008", "externalId" : "5253318008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Louisville", "state" : "Kentucky", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.2542376,-85.7594070" } ], "locationText" : "Louisville, Kentucky, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Benefit design", "PBM platform", "Requirement documentation", "Process excellence", "Analytical aptitude" ], "hardSkillsList" : [ "Benefit configuration", "Requirement traceability" ], "hardSkills" : [ { "name" : "Benefit configuration", "level" : "intermediate" }, { "name" : "Requirement traceability", "level" : "intermediate" } ], "majorSkills" : "Benefit design, Requirement documentation, Process excellence", "majorSkillsList" : [ "Benefit design", "Requirement documentation", "Process excellence" ], "coreResponsibilities" : "Resolve issues before build begins, Advise clients on industry best practices, Advise clients on platform capabilities, Advise clients on implementation considerations, Translate complex PBM benefit configurations, Maintain requirement traceability, Capture scope changes, Communicate scope changes, Reflect scope changes in deliverables, Build standardized requirement templates, Improve standardized requirement templates, Build intake frameworks, Improve intake frameworks, Build documentation standards, Improve documentation standards, Ensure alignment between requirements and configuration, Manage defect logging, Manage resolution tracking, Manage remediation confirmation, Deliver go-live readiness reports, Build rapport, Ask probing questions, Synthesize complex source material, Create function from scratch", "teamCollaboration" : "Implementation lead; Client manager; Implementation Managers; vendors; TPAs; clinical operations", "domainKnowledge" : "Pharmacy benefits management; PBM benefit configurations; CMS guidelines; ACA compliance; ERISA", "domainList" : [ "pharmacy-benefits-management", "pbm-benefit-configurations", "cms-guidelines", "aca-compliance", "erisa" ], "domainSpecificKnowledge" : [ "Pharmacy benefits management", "PBM benefit configurations", "CMS guidelines", "ACA compliance", "ERISA" ], "documentationSkills" : "Benefit requirement documents", "innovationCreativity" : "Establish a function", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical aptitude", "specialRequirements" : "25% travel", "outcomesObjectives" : "Improve health care outcomes; Deliver highest quality patient outcomes", "qualificationsBasic" : "Translate complex PBM benefit configurations, Build and continuously improve standardized requirement templates, Manage competing stakeholder expectations", "qualificationsPreferred" : "Exposure to regulatory frameworks governing pharmacy benefits, Hands-on experience building or configuring benefits within a PBM or pharmacy adjudication platform", "workSiteFlexibility" : "Onsite", "rawDescription" : "AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management. We are committed to making pharmacy benefits easy to understand, straightforward to access and always in the best interest of employers and the lives they impact. We accomplish this by bringing total clarity to business practices, leading with clinical approaches, and utilizing state-of-the-art technology. Join us in improving health care outcomes for all! We promise to do what’s right, always. Position Summary: The Manager, Benefit Design work directly with the implementation lead or client manager to resolve issues before build begins, reducing downstream risk Advise clients on industry best practices, AffirmedRx platform capabilities, and implementation considerations to help them make informed benefit design decisions Benefit Requirements Documentation: Translate complex PBM benefit configurations into clear, comprehensive benefit requirement documents that serve as the authoritative source of truth for the build team Maintain requirement traceability throughout the lifecycle; ensuring that scope changes are captured, communicated, and reflected in all downstream deliverables Build and continuously improve standardized requirement templates, intake frameworks, and documentation standards that scale across client engagements Collaborate with Implementation Managers, vendors, TPAs, and clinical operations to ensure full alignment between documented requirements and system configuration Benefit Build Review manage defect logging, resolution tracking, and remediation confirmation Deliver clear go-live readiness reports summarizing test outcomes, open items, and risk assessments Process Excellence ability to build rapport, ask probing questions, and manage competing stakeholder expectations with professionalism High analytical aptitude and comfort with ambiguity; can synthesize complex, inconsistent source material into clean, actionable deliverables A builder’s mindset — energized by creating something from scratch and motivated by the opportunity to establish a function others will grow within Exposure to regulatory frameworks governing pharmacy benefits (e.g., CMS guidelines, ACA compliance, ERISA) preferred Hands-on experience building or configuring benefits within a PBM or pharmacy adjudication platform is a strong plus Willingness to travel up to 25% What you get: To impact industry change in the pharmacy benefits management space, while delivering the highest quality patient outcomes To work in a culture where people thrive because when OUR team thrives, OUR business thrives Competitive compensation, including health, dental, vision and other benefits Note: AffirmedRx is committed to providing equal employment opportunities to all employees and applicants for employment. Remote employees are expected to maintain a professional work environment free of distractions to ensure optimal performance and collaboration.", "summaryDescription" : "Manager, Benefit Design & Requirements at AffirmedRx, PBC. Skills: Benefit design, Requirement documentation, Process excellence. Resolve issues before build begins. Advise clients on industry best practices", "postedDate" : "2026-06-11T18:35:32.351", "createdAt" : "2026-06-11T18:35:32.351", "lastUpdated" : "2026-06-14T20:10:08.621", "ingestTimestamp" : "2026-06-11T18:35:32.351", "mongoId" : "6a2a839674d8ee00a0676940", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 167500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Benefit configuration", "Requirement traceability", "Benefit design", "Requirement documentation", "Process excellence", "PBM platform", "Analytical aptitude", "Pharmacy benefits management", "PBM benefit configurations", "CMS guidelines", "ACA compliance", "ERISA" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "operations-general", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a4e1a74d8ee00a05ee51c", "title" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation", "company" : "STOW Group", "industry" : "Industrial Automation", "salary" : { "min" : 48000.0, "max" : 62000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry level in Manufacturing in Lokeren, Belgium, adjusted for company size and industry." }, "location" : "Lokeren, Vlaanderen, BE", "locations" : [ "Lokeren", "Vlaanderen", "BE" ], "timestamp" : "2026-06-15T00:40:13.367", "fingerprint" : "994b1c2ada2f8394f1e069bc1605c5987ef68268ab95a6b218b3a9509dead003", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StowGroup/744000131052165-thesis-digital-pallet-model-integration-into-an-overall-plant-simulation-", "externalId" : "744000131052165", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lokeren", "state" : "Vlaanderen", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.1044488,3.9898689" } ], "locationText" : "Lokeren, Vlaanderen, Belgium", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python", "professionalSkills" : [ "Industrial automation", "Robotics", "Product development", "Data management" ], "hardSkillsList" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "Regression testing", "ETL routines", "Validation rules" ], "hardSkills" : [ { "name" : "Parametric modeling", "level" : "intermediate" }, { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "ETL routines", "level" : "intermediate" }, { "name" : "Validation rules", "level" : "intermediate" } ], "majorSkills" : "Plant simulation, Data integration, Robotics", "majorSkillsList" : [ "Plant simulation", "Data integration", "Robotics" ], "coreResponsibilities" : "Design data framework, Implement data framework, Capture test data, Normalize test data, Integrate test data, Develop data pipeline, Extract measurements, Reformat data, Incorporate validation rules, Extend plant model, Parameterize simulation module, Execute regression tests, Characterize special pallets, Establish pallet database, Support traceability, Support version control, Support data retrieval", "teamCollaboration" : "Engineering teams; Quality stakeholders; Operations stakeholders", "domainKnowledge" : "Intralogistics; Automated logistics; Warehouse environments; Plant control software; Pallet types; Edge cases; Simulation models; Data engineering; Database architecture; Versioning strategies; Access protocols; Software release cycles; Digital pallet profiles", "domainList" : [ "intralogistics", "automated-logistics", "warehouse-environments", "plant-control-software", "pallet-types", "edge-cases", "simulation-models", "data-engineering", "database-architecture", "versioning-strategies", "access-protocols", "software-release-cycles", "digital-pallet-profiles" ], "domainSpecificKnowledge" : [ "Intralogistics", "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Edge cases", "Simulation models", "Data engineering", "Database architecture", "Versioning strategies", "Access protocols", "Software release cycles", "Digital pallet profiles" ], "innovationCreativity" : "Ambitious growth; State-of-the-art robots", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Accelerate software release cycle; Reduce operational risk; Decrease physical testing overhead; Build reusable repository; Enrich simulation capabilities", "qualificationsBasic" : "Programming +++, Product development +, Data management ++", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Movu Robotics Innovation, ambitious growth, technology, state-of-the-art robots – that’s Movu Robotics in a nutshell. Due to the in-house design and manufacturing process of our systems, an exciting, hands-on work environment with plenty of challenges and advancement opportunities is guaranteed. Will you help shape the future of intralogistics? Problem statement In modern automated logistics and warehouse environments, plant control software must operate reliably across a wide variety of pallet types, each with distinct physical and dimensional properties. Currently, no structured digital representation of pallet data exists that can be systematically fed into the plant simulation model, leaving regression testing largely dependent on physical, on-site trials. As a consequence, when new software versions are released, their compatibility with the full range of pallet types—including special or atypical variants—cannot be verified in a virtual environment prior to deployment. This gap forces engineering teams to conduct repeated physical pallet tests, a practice that is both time-intensive and resource-costly. Furthermore, the absence of a centralized, validated pallet database limits the plant model's fidelity and prevents meaningful simulation of edge cases. Closing this gap is essential not only to accelerate the software release cycle, but also to reduce operational risk, decrease physical testing overhead, and progressively build a comprehensive, reusable repository of pallet profiles that enriches future simulation capabilities. Main issues - Coverage & Pallet Diversity The plant software must handle a heterogeneous population of pallet types, including non-standard and special-purpose variants. Ensuring that the simulation model accounts for the full diversity of real-world pallet geometries, weights, and surface properties—without direct physical access to each type during testing—requires a methodical data collection strategy and a robust parametric model that can generalize across variants. - Data Acquisition & Format Standardization Pallet test data currently exists in heterogeneous formats across different test setups and measurement instruments. Transforming this raw, inconsistently structured data into a normalized, machine-readable format that can serve as direct input to the plant model presents a significant data engineering challenge. A well-defined schema and automated transformation pipeline are required to ensure consistency, traceability, and scalability. -Reduction of Redundant Physical Testing Transitioning from a purely physical to a simulation-first testing approach requires a degree of institutional trust in the virtual model's outputs. Demonstrating that a properly parameterized simulation can replace repetitive physical re-tests—particularly for previously characterized pallet types—demands clear evidence of equivalence and a change management process that aligns engineering, quality, and operations stakeholders. - Database Design & Long-Term Maintainability The resulting pallet database must be designed not as a static artifact but as a living, evolving repository that grows as new pallet types are encountered. This implies thoughtful database architecture choices, versioning strategies, and access protocols to ensure that data remains accurate, auditable, and usable by both current and future simulation workloads without significant rework Solution idea The proposed work centers on the design and implementation of a structured data framework that captures, normalizes, and integrates physical pallet test data directly into the existing plant simulation model. In a first phase, a data acquisition and transformation pipeline will be developed to extract measurements from pallet tests—covering dimensional, mechanical, and identification attributes—and re-format them according to a defined schema compatible with the plant model's input interface. This pipeline will incorporate validation rules to flag incomplete or anomalous entries before ingestion. In a second phase, the plant model will be extended with a pallet simulation module, parameterized by the ingested data, enabling the controlled execution of software regression tests against a broad and growing set of digital pallet profiles. Special pallet types, which previously required dedicated physical sessions, will be characterized once and stored, eliminating the need for repeated re-testing. Finally, a structured pallet database will be established to serve as the authoritative repository for all characterized pallet types, supporting traceability, version control, and retrieval for future simulation campaigns. The primary tools will include scripted ETL (Extract–Transform–Load) routines in Python for data processing, integration interfaces with the existing plant simulation environment, and a relational or document-oriented database for persistent storage. Validation will be conducted by comparing simulation outcomes with historical physical test results across a representative pallet sample, establishing a quantifiable confidence level for the framework's use in production software release cycles. ## Qualifications Who are we looking for? A motivated thesis student with a hands-on mindset, strong problem-solving skills and an interest in industrial automation, robotics and product development. Relevant skills Programming +++ Product development + Data management ++ ## Additional Information What we offer you? * A place in an enthusiastic, young organisation with the necessary ambitions * The necessary freedom and the opportunity to take initiatives * Location Office : Lokeren * Satellite office in Berchem ( Antwerp ) Unsolicited representations by third parties (recruitment agencies, headhunters, ...) of CVs via mail and/or telephone for our vacancies are considered as direct applications where no compensation is provided to the third party. Any T&Cs from these third parties will not be accepted unless upon signature of the T&Cs by a person in charge of HR. Candidates remain registered in the system for 12 months and cannot be proposed again during this period.", "summaryDescription" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation at STOW Group. Skills: Plant simulation, Data integration, Robotics. Design data framework. Implement data framework", "postedDate" : "2026-06-09T07:02:08.000", "createdAt" : "2026-06-12T04:36:12.255", "lastUpdated" : "2026-06-15T00:40:13.367", "ingestTimestamp" : "2026-06-12T04:36:12.255", "mongoId" : "6a2a4e1a74d8ee00a05ee51c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "Regression testing", "ETL routines", "Validation rules", "Plant simulation", "Data integration", "Robotics", "Industrial automation", "Product development", "Data management", "Intralogistics", "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Edge cases", "Simulation models", "Data engineering", "Database architecture", "Versioning strategies", "Access protocols", "Software release cycles", "Digital pallet profiles" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "R&D", "dataQualityScore" : 1.0, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a77b174d8ee00a065e6ff", "title" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation", "company" : "STOW Group", "industry" : "Industrial Automation", "salary" : { "min" : 45000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level position in Lokeren, Belgium, adjusted for the manufacturing industry." }, "location" : "Lokeren, Vlaanderen, BE", "locations" : [ "Lokeren", "Vlaanderen", "BE" ], "timestamp" : "2026-06-14T23:04:24.506", "fingerprint" : "55dd79b9a46a7692a9ec16efea7dc9394aaac29b82090ab2c740220b78ec24bc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/StowGroup/744000131052165-thesis-digital-pallet-model-integration-into-an-overall-plant-simulation-", "externalId" : "744000131052165", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lokeren", "state" : "Vlaanderen", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.1044488,3.9898689" } ], "locationText" : "Lokeren, Vlaanderen, Belgium", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python", "professionalSkills" : [ "Industrial automation", "Robotics", "Product development", "Intralogistics" ], "hardSkillsList" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "ETL routines", "Regression testing", "Simulation modeling" ], "hardSkills" : [ { "name" : "Parametric modeling", "level" : "intermediate" }, { "name" : "Data acquisition", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "ETL routines", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Simulation modeling", "level" : "intermediate" } ], "majorSkills" : "Data integration, Simulation, Data management", "majorSkillsList" : [ "Data integration", "Simulation", "Data management" ], "coreResponsibilities" : "Design data framework, Implement data framework, Capture test data, Normalize test data, Integrate test data, Develop data pipeline, Extract measurements, Reformat data, Incorporate validation rules, Extend plant model, Parameterize simulation module, Execute regression tests, Characterize special pallets, Establish pallet database, Support traceability, Support version control, Support data retrieval", "teamCollaboration" : "Engineering teams; Quality stakeholders; Operations stakeholders", "domainKnowledge" : "Automated logistics; Warehouse environments; Plant control software; Pallet types; Digital pallet models; Plant simulation models; Edge cases; Data engineering; Database architecture; Versioning strategies; Simulation workloads; Relational databases; Document-oriented databases", "domainList" : [ "automated-logistics", "warehouse-environments", "plant-control-software", "pallet-types", "digital-pallet-models", "plant-simulation-models", "edge-cases", "data-engineering", "database-architecture", "versioning-strategies", "simulation-workloads", "relational-databases", "document-oriented-databases" ], "domainSpecificKnowledge" : [ "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Digital pallet models", "Plant simulation models", "Edge cases", "Data engineering", "Database architecture", "Versioning strategies", "Simulation workloads", "Relational databases", "Document-oriented databases" ], "innovationCreativity" : "Ambitious growth; State-of-the-art robots", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Accelerate software release cycle; Reduce operational risk; Decrease physical testing overhead; Build reusable repository; Enrich simulation capabilities", "qualificationsBasic" : "Programming +++, Product development +, Data management ++", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Movu Robotics Innovation, ambitious growth, technology, state-of-the-art robots – that’s Movu Robotics in a nutshell. Due to the in-house design and manufacturing process of our systems, an exciting, hands-on work environment with plenty of challenges and advancement opportunities is guaranteed. Will you help shape the future of intralogistics? Problem statement In modern automated logistics and warehouse environments, plant control software must operate reliably across a wide variety of pallet types, each with distinct physical and dimensional properties. Currently, no structured digital representation of pallet data exists that can be systematically fed into the plant simulation model, leaving regression testing largely dependent on physical, on-site trials. As a consequence, when new software versions are released, their compatibility with the full range of pallet types—including special or atypical variants—cannot be verified in a virtual environment prior to deployment. This gap forces engineering teams to conduct repeated physical pallet tests, a practice that is both time-intensive and resource-costly. Furthermore, the absence of a centralized, validated pallet database limits the plant model's fidelity and prevents meaningful simulation of edge cases. Closing this gap is essential not only to accelerate the software release cycle, but also to reduce operational risk, decrease physical testing overhead, and progressively build a comprehensive, reusable repository of pallet profiles that enriches future simulation capabilities. Main issues - Coverage & Pallet Diversity The plant software must handle a heterogeneous population of pallet types, including non-standard and special-purpose variants. Ensuring that the simulation model accounts for the full diversity of real-world pallet geometries, weights, and surface properties—without direct physical access to each type during testing—requires a methodical data collection strategy and a robust parametric model that can generalize across variants. - Data Acquisition & Format Standardization Pallet test data currently exists in heterogeneous formats across different test setups and measurement instruments. Transforming this raw, inconsistently structured data into a normalized, machine-readable format that can serve as direct input to the plant model presents a significant data engineering challenge. A well-defined schema and automated transformation pipeline are required to ensure consistency, traceability, and scalability. -Reduction of Redundant Physical Testing Transitioning from a purely physical to a simulation-first testing approach requires a degree of institutional trust in the virtual model's outputs. Demonstrating that a properly parameterized simulation can replace repetitive physical re-tests—particularly for previously characterized pallet types—demands clear evidence of equivalence and a change management process that aligns engineering, quality, and operations stakeholders. - Database Design & Long-Term Maintainability The resulting pallet database must be designed not as a static artifact but as a living, evolving repository that grows as new pallet types are encountered. This implies thoughtful database architecture choices, versioning strategies, and access protocols to ensure that data remains accurate, auditable, and usable by both current and future simulation workloads without significant rework Solution idea The proposed work centers on the design and implementation of a structured data framework that captures, normalizes, and integrates physical pallet test data directly into the existing plant simulation model. In a first phase, a data acquisition and transformation pipeline will be developed to extract measurements from pallet tests—covering dimensional, mechanical, and identification attributes—and re-format them according to a defined schema compatible with the plant model's input interface. This pipeline will incorporate validation rules to flag incomplete or anomalous entries before ingestion. In a second phase, the plant model will be extended with a pallet simulation module, parameterized by the ingested data, enabling the controlled execution of software regression tests against a broad and growing set of digital pallet profiles. Special pallet types, which previously required dedicated physical sessions, will be characterized once and stored, eliminating the need for repeated re-testing. Finally, a structured pallet database will be established to serve as the authoritative repository for all characterized pallet types, supporting traceability, version control, and retrieval for future simulation campaigns. The primary tools will include scripted ETL (Extract–Transform–Load) routines in Python for data processing, integration interfaces with the existing plant simulation environment, and a relational or document-oriented database for persistent storage. Validation will be conducted by comparing simulation outcomes with historical physical test results across a representative pallet sample, establishing a quantifiable confidence level for the framework's use in production software release cycles. ## Qualifications Who are we looking for? A motivated thesis student with a hands-on mindset, strong problem-solving skills and an interest in industrial automation, robotics and product development. Relevant skills Programming +++ Product development + Data management ++ ## Additional Information What we offer you? * A place in an enthusiastic, young organisation with the necessary ambitions * The necessary freedom and the opportunity to take initiatives * Location Office : Lokeren * Satellite office in Berchem ( Antwerp ) Unsolicited representations by third parties (recruitment agencies, headhunters, ...) of CVs via mail and/or telephone for our vacancies are considered as direct applications where no compensation is provided to the third party. Any T&Cs from these third parties will not be accepted unless upon signature of the T&Cs by a person in charge of HR. Candidates remain registered in the system for 12 months and cannot be proposed again during this period.", "summaryDescription" : "Thesis Digital Pallet Model Integration into an Overall Plant Simulation at STOW Group. Skills: Data integration, Simulation, Data management. Design data framework. Implement data framework", "postedDate" : "2026-06-09T07:02:08.000", "createdAt" : "2026-06-12T02:03:05.732", "lastUpdated" : "2026-06-14T23:04:24.506", "ingestTimestamp" : "2026-06-12T02:03:05.732", "mongoId" : "6a2a77b174d8ee00a065e6ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Parametric modeling", "Data acquisition", "Data transformation", "Database design", "ETL routines", "Regression testing", "Simulation modeling", "Data integration", "Simulation", "Data management", "Industrial automation", "Robotics", "Product development", "Intralogistics", "Automated logistics", "Warehouse environments", "Plant control software", "Pallet types", "Digital pallet models", "Plant simulation models", "Edge cases", "Data engineering", "Database architecture", "Versioning strategies", "Simulation workloads", "Relational databases", "Document-oriented databases" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "R&D", "dataQualityScore" : 1.0, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a531074d8ee00a05fcb14", "title" : "Senior Research Data Scientist", "company" : "dunnhumby", "industry" : "Retail", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Research Data Scientist in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-14T20:17:46.904", "fingerprint" : "dd8fbe40a6ad9d6d510ab94e61c4315b0bf01ab1452dbcc5c9633f4ac8a77559", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dunnhumby/jobs/7765131003", "externalId" : "7765131003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Retail; CPG; Customer behaviour; Generative AI; Multimodal learning; Representation learning; AI/ML techniques; Retail and consumer analytics; Deep learning; Advanced ML", "domainList" : [ "retail", "cpg", "customer-behaviour", "generative-ai", "multimodal-learning", "representation-learning", "ai-ml-techniques", "retail-and-consumer-analytics", "deep-learning", "advanced-ml" ], "domainSpecificKnowledge" : [ "Retail", "CPG", "Customer behaviour", "Generative AI", "Multimodal learning", "Representation learning", "AI/ML techniques", "Retail and consumer analytics", "Deep learning", "Advanced ML" ], "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Joining the AI Strategy, Research & Enablement team, you’ll help shape the future of AI across the organisation. Working at the intersection of cutting-edge research and real-world commercial application, you’ll turn innovative ideas into scalable capabilities that influence products, platforms, and long-term strategy. You’ll collaborate with senior leaders and contribute to decision-making across data science, engineering, and product, helping to prioritise and advance the right AI investments for the future. We’re looking for a Senior Research Data Scientist to play a key role in developing dunnhumby’s next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you’ll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You’ll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute to partnerships with academia and external research organisations. What you’ll be doing: Drive the design, experimentation, and evaluation of transformer-based models on retail based challenges. Explore innovative architectures (e.g., sequence-to-sequence models, causal transformers, hybrid retrieval + transformer approaches) to deliver step-change improvements in personalisation, recommendations, and forecasting. Develop research-grade prototypes and collaborate with engineers to translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive internal thought leadership by defining standards, sharing knowledge, and advising product, engineering, and data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ML. Partner closely with internal teams to ensure research pathways are aligned with available tooling and future platform strategy. Document best practices and contribute to reusable assets, libraries, and internal frameworks. What we expect from you: Expertise in transformer architectures (e.g., BERT, GPT, T5, Time‑Series Transformers). Strong hands-on experience with modern deep learning frameworks (PyTorch preferred). Solid grounding in machine learning fundamentals and statistical modelling. Familiarity with distributed training and GPU acceleration. A track record of delivering impactful models in production or research settings. Ability to take ambiguous research ideas and shape them into structured investigations or prototypes. Curiosity and a learning mindset — tracking state-of-the-art advancements and evaluating their relevance. Strong data manipulation and engineering skills (e.g., PySpark, SQL, cloud-based data tooling). Strong communication skills, capable of explaining complex ideas to technical and non-technical audiences. Collaborative approach to working with ML engineers, product managers, academic partners, and leadership stakeholders. A passion for turning cutting‑edge modelling ideas into practical business impact. A mindset that blends scientific curiosity with real-world pragmatism. Enthusiasm for shaping the next generation of AI capabilities at dunnhumby, both through hands-on modelling and strategic influence. Nice to have Experience in retail, CPG, recommendations, or customer behaviour modelling. Engagement with academic research (publications, workshops, industry collaborations). Familiarity with vector databases, embeddings, and retrieval techniques. Experience Working on large datasets (efficient loading, batching, and streaming) and related tooling (PySpark preferred). What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)", "summaryDescription" : "Senior Research Data Scientist at dunnhumby", "postedDate" : "2026-06-11T19:06:49.690", "createdAt" : "2026-06-11T19:06:49.690", "lastUpdated" : "2026-06-14T20:17:46.904", "ingestTimestamp" : "2026-06-11T19:06:49.690", "mongoId" : "6a2a531074d8ee00a05fcb14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Retail", "CPG", "Customer behaviour", "Generative AI", "Multimodal learning", "Representation learning", "AI/ML techniques", "Retail and consumer analytics", "Deep learning", "Advanced ML" ], "skillCount" : 10, "jobCategory" : "other", "jobSubcategory" : "science-innovation", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail" }, { "id" : "6a2dafb974d8ee00a0c82f3a", "title" : "Risk Data & Model Governance, AVP", "company" : "Singapore's longest established bank", "industry" : "Banking", "salary" : { "min" : 850000.0, "max" : 1300000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AVP, Risk Data & Model Governance roles in Hong Kong, adjusted for seniority, banking industry, and company size." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-16T01:07:28.066", "fingerprint" : "0e28cb33339778fa47feb4f798d51684d13b85a6879df927b3a173501d230d56", "source" : "workday", "language" : "en", "applyUrl" : "https://ocbc.wd102.myworkdayjobs.com/External/job/OCBC-Hong-Kong/Risk-Data---Model-Governance--AVP_JR00008308-1", "externalId" : "JR00008308", "industryFunction" : { }, "locationPoint" : "22.3193,114.1694", "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Data governance", "Model risk management", "Data quality management", "Risk analytics" ], "hardSkillsList" : [ "Data lineage", "Data catalogue", "Data quality scorecards", "Model materiality assessment" ], "hardSkills" : [ { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data catalogue", "level" : "intermediate" }, { "name" : "Data quality scorecards", "level" : "intermediate" }, { "name" : "Model materiality assessment", "level" : "intermediate" } ], "majorSkills" : "Data governance, Model risk management", "majorSkillsList" : [ "Data governance", "Model risk management" ], "coreResponsibilities" : "Implement data lineage, Establish centralized data catalogue, Enhance data transparency, Enhance data discoverability, Manage data quality, Review data governance frameworks, Review data governance policies, Review data governance controls, Drive implementation across bank, Review data quality scorecards, Identify key gaps, Prioritize key gaps, Monitor remediation progress, Ensure timely issue resolution, Ensure sustainable issue resolution, Design model risk management frameworks, Refine model risk management frameworks, Implement model risk management frameworks, Assess model materiality, Perform governance reviews, Ensure alignment with Group standards, Ensure alignment with regulatory expectations, Lead data initiatives, Lead model initiatives, Plan initiatives, Execute initiatives, Deliver key milestones, Track project progress, Manage dependencies, Provide updates to senior management, Support initiatives, Support ad-hoc assignments", "teamCollaboration" : "Cross-functional stakeholders; Senior management", "projectManagementSkills" : [ "Project planning", "Project execution", "Milestone delivery" ], "domainKnowledge" : "Model risk management; AI risk management; Data governance; Data quality; Regulatory compliance", "domainList" : [ "model-risk-management", "ai-risk-management", "data-governance", "data-quality", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Model risk management", "AI risk management", "Data governance", "Data quality", "Regulatory compliance" ], "communicationSkills" : "Communicate with non-technical stakeholders", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Degree holder, 5+ years data management, 5+ years banking industry", "qualificationsPreferred" : "Implementation experience data/model risk management projects, Risk analytics experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "# **WHO WE ARE:** As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here. # **Purpose of the role:** This role is responsible for leading data governance and model/AI risk management initiatives to ensure robust control frameworks and regulatory compliance. The incumbent partners with cross-functional stakeholders to enhance data transparency, strengthen data quality, and implement effective model risk management practices. ### **What you will be doing:** **Data Management** * Partner closely with cross-functional stakeholders to implement data lineage and establish a centralized data catalogue, enhancing transparency of data flows, data discoverability, and overall data quality management. * Conduct periodic reviews of data governance frameworks, policies, and controls, and drive effective implementation across the bank. * Review data quality scorecards, identify and prioritize key gaps, and monitor remediation progress to ensure timely and sustainable issue resolution. **Model / AI Risk Management** * Design, refine, and implement model risk management frameworks, including governance standards, policies, and control mechanisms. * Collaborate with stakeholders to assess model materiality, perform governance reviews, and ensure alignment with Group standards and regulatory expectations. **Project & Stakeholder Management** * Lead data and model-related initiatives end-to-end, ensuring effective planning, execution, and timely delivery of key milestones. * Track project progress, manage dependencies, and provide regular, concise updates to senior management. **Other Responsibilities** * Support additional initiatives and ad-hoc assignments related to Data and Model Risk Management functions as required. **What are we looking for:** **are we looking for:** * A degree holder in related disciplines * At least 5 years of experience in data management space or banking industry * Implementation experience in data / model risk management related projects of similar scope is preferable risk analytics or a related field * Strong technical skills, preferably with programming languages such as SQLs, Python and or R * Excellent analytical and problem-solving skills, with the ability to communicate with non-technical stakeholders * A collaborative mindset, with the ability to work effectively with stakeholders across the organization _#LI-SL1_ # # # **What we offer:** Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.", "summaryDescription" : "Risk Data & Model Governance, AVP at Singapore's longest established bank. Skills: Data governance, Model risk management. Implement data lineage. 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Cross-functional teams; Digital teams; Creative teams; Content teams; PR teams", "projectManagementSkills" : [ "RFP responses", "Proposal writing" ], "domainKnowledge" : "Communications channels; Financial services; Professional services; B2B communications", "domainList" : [ "communications-channels", "financial-services", "professional-services", "b2b-communications" ], "domainSpecificKnowledge" : [ "Communications channels", "Financial services", "Professional services", "B2B communications" ], "toolProficiency" : [ "Talkwalker", "SignalAI", "StatSocial", "Microsoft Suite", "Looker", "Tableau", "PowerBI" ], "communicationSkills" : "Presenting data; Writing skills; Presentation skills", "continuousLearning" : "Custom career opportunities", "innovationCreativity" : "Brainstorming; Creative strategy planning", "problemSolvingSkills" : "Extrapolating data; Data-driven decision making", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Prosek? We are entrepreneurial. Prosek is one of the largest independent communications and marketing firms in the U.S., with offices and strategic partners across the country and worldwide. We are specialized. Prosek provides unparalleled expertise for some of the most notable brands in financial services, professional services, and beyond. We are people centric. Our teams work together in a collegial atmosphere that breeds professional respect and friendship. We are award-winning. Join an \"Army of Entrepreneurs\" that was recently named 2026Global Agency of the Year by PRovoke Media. Overview: We're currently seeking a Vice President to join our growing Data and Analytics team. The Vice President (VP) plays a critical leadership role on the team and across the firm. You are expected to have the skills and behaviors needed to up-level client work, build culture and drive growth for the firm. While you should be a big-picture thinker, you also need to be able to lead and inspire teams to turn big ideas into action. Most of all, you need to be an incredible people manager who enjoys developing and mentoring junior staff, a critical aspect of our growing team. In this role, you must be an expert in research and analytics across communications channels, skilled at leveraging AI and adept at extrapolating data to find the “so what” for clients. This candidate will be expected to conduct primary and secondary research to inform strategy, monitor earned, social and owned activity across relevant platforms and develop insightful and actionable reports for executives. At Prosek, everyone is expected to be a strong team player, participating in brainstorming and creative strategy planning for clients and internal projects. Our culture is built around being an \"Army of Entrepreneurs,\" and we encourage everyone to embrace that and be the \"writer of their own story.\" What you'll be doing: Lead integrated client teams to ensure data-driven planning, execution and content development Serve as a strategic counselor and lead day-to-day client contact for key client relationships Oversee and manage research and analytics projects independently including, but not limited to: Creation and implementation of measurement frameworks and research methodologies Global qualitative and quantitative research studies (i.e., writing questionnaires, overseeing data collection, analyzing results) Media monitoring, predictive risk and crisis assessment Whitespace analyses (i.e., competitive and media landscape analysis) Narrative intelligence Influencer identification and vetting Audience analysis AI analytics Development of new business proposals Presenting data and insights to tell a clear and compelling story of impact Develop and mentor reports through coaching, consistently providing feedback, holding them accountable, conducting their reviews, and overseeing their professional development Demonstrate an expert understanding of the data oversee creation and ongoing monitoring of program budgets Be responsible for reviewing and editing all written materials developed by account team and assist team members with fine-tuning their writing skills Manage the flow of account work among junior team members to ensure that client objectives are met Act as \"champion\" of the team and ensure that the staff is motivated, engaged and working to potential and proactively give team members feedback Contribute to new business development, including leading RFP responses, proposal writing, client pitches and prospecting Become involved in recruiting and evaluate potential new hires to determine if they would work well with Prosek What makes you qualified: 10-12 years of experience Strong command of data & analytics measurement and monitoring tools (including Talkwalker/SignalAI or similar platforms, StatSocial) Expert understanding of primary quantitative research Strong statistical, writing and presentation skills Strong eye for detail Experience in financial services, professional services, technology and/or B2B communications Ability to manage cross-functional integrated teams and form relationships across digital, creative, content and PR Adept in Microsoft Suite (Outlook, Excel, PowerPoint, etc.) Experience vetting and selecting research vendors and managing project budgets Experience in data integration and visualization platforms and practices preferred, but not required (Looker, Tableau, PowerBI, Python, etc.) Readiness to deliver excellent client service and be a member of a growing team Ability to maintain and grow the collective culture and value of the Data and Analytics team and Prosek as a whole What are the perks? 401(k) employer match: There is no time like the present to prepare for your future! Premium healthcare plans, including medical, dental and vision coverage: Your health comes first. Hybrid work model: 2 days in the office, 3 days from home - Pick your own schedule. 2 weeks of remote work per year: You do you! Generous Paid Time Off (PTO) package including birthday PTO: Enjoy life's moments. Custom career opportunities: Choose your own adventure! Our Core Values: Chemistry, Collaboration and Belonging: Our collegial culture inspires people with different perspectives and backgrounds to work towards common goals as we brainstorm, plan and execute on behalf of our clients and to build our business together. Grit and Hustle: We work hard. We roll up our sleeves. We are not precious or pretentious. We do not take short cuts. Instead, we put in the work and do what it takes to get the job done. The Excitement of New Challenges: We view challenges as opportunities and embrace them. They motivate us to learn and grow so that we can be the best versions of ourselves, for our clients and each other. A Workplace with Humanity: We recognize the rigor and demand of our work. We also recognize that life inside and outside of Prosek can be stressful. We work very hard to run our business with a heavy dose of humanity and to make Prosek a safe place where people enjoy the work and each other. Our Beliefs on Culture, Diversity & Belonging: We are committed to building a diverse workforce reflecting and embracing diversity of all kinds - diversity of geography, cognitive diversity, race, ethnicity, age, gender identity, sexual orientation, political affiliation, socioeconomic backgrounds. We believe having teams that represent the broader communities where we live and work creates a culture that celebrates creativity, inclusiveness and teamwork and helps us offer our global clientele of mature and emerging businesses counsel that is dynamic, rich and nuanced. The anticipated salary range for this position is $150,000-175,000. An employee's salary is determined by a range of factors including but not limited to relevant experience, qualifications, skills, seniority, geographic location, performance, and business or organizational needs. The range listed is one component of Prosek's total compensation package for employees. Other rewards may include medical, dental and vision coverage, 401(k) matching, new business commission, paid time off, and other benefits. Prosek Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Follow us: Website | Twitter | LinkedIn | Facebook | Instagram #LI-HYBRID", "summaryDescription" : "Vice President, Research and Insights at Prosek Partners. Skills: Research and analytics, AI analytics, Data insights. Lead integrated client teams. 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3D coordination processes", "projectManagementSkills" : [ "BIM Execution Plan" ], "domainKnowledge" : "Building engineering; MEP disciplines; Architectural documentation; Engineering documentation", "domainList" : [ "building-engineering", "mep-disciplines", "architectural-documentation", "engineering-documentation" ], "domainSpecificKnowledge" : [ "Building engineering", "MEP disciplines", "Architectural documentation", "Engineering documentation" ], "toolProficiency" : [ "Revit", "Navisworks", "BIM360" ], "communicationSkills" : "BIM presentations", "documentationSkills" : "Technical documentation; Engineering documentation; Architectural documentation", "continuousLearning" : "Tuition reimbursement", "qualificationsBasic" : "MEP Revit model setup, MEP discipline models maintenance, MEP discipline models, systems, content, digital delivery output creation, BIM elements generation, Project BIM Execution Plan execution, MEP discipline models, systems, content, digital delivery output creation, Advanced understanding of architectural and engineering documentation, Accurate BIM element modeling, Detailed drawings, layouts, diagrams preparation, Discipline specific documentation production, Company standards and model health monitoring, Design coordination with other discipline models, BIM model use for client/contractor review, Technology application to project needs understanding, BES business class digital needs development contribution, BIM presentations preparation and delivery", "qualificationsPreferred" : "Extensive BIM knowledge, Design phases knowledge, Construction documents knowledge, Technical and engineering knowledge, BIM production experience, MEP disciplines basic understanding, Navisworks experience, BIM360 experience, Advanced engineering concepts understanding, Advanced architectural concepts understanding, Industry standards and practices knowledge, Discipline codes and specifications knowledge", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? We believe building engineering is more than systems and structures, it’s about powering progress and enabling innovation. As part of HDR’s Building Engineering Services Group, you’ll help design the critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your work will directly support technological advancement, sustainability, and human experience. We bring together mechanical, electrical, structural, and civil engineering experts to solve complex design challenges with precision, creativity, and collaboration. Whether you're optimizing energy efficiency, integrating resilient systems, or engineering the backbone of next-generation facilities, your contributions will help define the future of the built environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of excellence. Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR’s Building Engineering Services team (BES) provides mechanical, electrical, plumbing, site civil, structural and specialty design services for a wide variety of buildings that include public, municipal, private, and Federal project types across the region and globally. With a team of experienced staff in specific market sectors such as Healthcare, Science and Technology, Data Centers, Higher Education, Federal, Transportation, Water, and Resources facilities, we provide engineering excellence for our clients. We have an industry leading focus on sustainable design and energy conservation. The HDR BES group in Denver is looking for a BIM/Revit Model Coordinator to join our team. Primary Responsibilities In the role of BIM/Revit Model Coordinator, we'll count on you to: Create and maintain the BIM Execution Plan (BEP) Be responsible for MEP Revit model setup when projects are initiated Maintain the MEP discipline models including project information, coordinates, scales, orientations, scope boundaries, match lines, views, and sheets Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Generate the BIM elements, based on the Level of Development (LOD) outlined in the BIM Execution Plan (BEP) and project scope Execute all other requirements identified in the project BIM Execution Plan (BEP) Create and maintain the MEP discipline models, systems, content, and overall digital delivery output for the MEP disciplines Have an advanced understanding of architectural and engineering documentation and plan presentation for all disciplines Accurately model BIM elements in the correct special constraints of the modeling environment using Revit Prepare detailed drawings, layouts, and diagrams of the design within the project scope, schedule, and budget, using Revit Produce discipline specific documentation with accurate annotations on all modeling output Monitor, improve, and maintain company standards and model health. Coordinate the design with other discipline models through design reviews and 3D coordination processes Work with clients or contractor representatives using the BIM model for review purposes Understand various project needs and how technology can be applied to address those needs Contribute to the development of the Building Engineering Services (BES) business class digital needs Prepare and deliver BIM presentations at meetings and conferences internally or externally to clients Perform other duties as needed Preferred Qualifications: Extensive knowledge of BIM, design phases, construction documents, technical and engineering knowledge Experience in BIM production (either building modeling or process piping modeling) Basic understanding of MEP disciplines and how they interact with other discipline designs Navisworks and BIM360 experience preferred Local candidates are preferred Advanced understanding of engineering or architectural concepts Knowledge of industry standards and practices, along with discipline codes and specifications Excellent communication skills, attention to detail and organizational traits are essential #LI-MV3 We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Colorado: %2486,933.00 - %24124,190.00", "summaryDescription" : "BIM/Revit Model Coordinator at HDR. Skills: BIM, Revit, Model coordination. Create and maintain BIM Execution Plan. Be responsible for MEP Revit model setup", "createdAt" : "2026-06-14T20:46:16.143", "lastUpdated" : "2026-06-15T22:03:55.492", "ingestTimestamp" : "2026-06-14T20:46:16.143", "mongoId" : "6a2cc8aa74d8ee00a0a1cc7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 86933, "salaryAnnualMax" : 124190, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Model coordination", "Digital modeling", "BIM", "Revit", "Digital delivery", "Design reviews", "3D coordination", "BIM Execution Plan", "Building engineering", "MEP disciplines", "Architectural documentation", "Engineering documentation", "Navisworks", "BIM360" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a08c", "title" : "Utility Data and Modeling Analyst", "company" : "HDR", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, Saint Louis Park city tier, and the engineering/consulting industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:46:45.498", "fingerprint" : "750234fde7fa9a6099369120843b7d86c965903252b6816af102bf9bdbb7676d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779912", "externalId" : "779912", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Power Query, Pandas, Python, R, Plotly, Seaborn, Matplotlib", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data science", "Organizational skills" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling", "majorSkillsList" : [ "Data analysis", "Data modeling" ], "coreResponsibilities" : "Handle confidential information, Prioritize and handle multiple tasks, Manage various managers", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Utility data", "domainList" : [ "utility-data" ], "domainSpecificKnowledge" : [ "Utility data" ], "toolProficiency" : [ "MS Office", "Power BI", "Tableau" ], "communicationSkills" : "Grammar; Punctuation; Proofreading; Spelling; Telephone skills", "qualificationsBasic" : "Degree in closely related field or education/experience combination, Proficiency with MS Office, Proficiency with data engineering tools and languages, Proficiency with business intelligence tools, Proficiency with data science languages, Ability to handle confidential information, Excellent writing and people skills, Math and organizational skills, Flexibility and ability to prioritize, Handle multiple tasks and various managers, Excellent verbal and written communication skills, Commitment to being an active participant of employee-owned culture", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications A degree in a closely related field or combination of education and relevant experience Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib Proficiency with data science languages such as Python and R Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "Utility Data and Modeling Analyst at HDR. Skills: Data analysis, Data modeling. Handle confidential information. Prioritize and handle multiple tasks", "createdAt" : "2026-06-14T21:31:19.547", "lastUpdated" : "2026-06-16T02:46:45.498", "ingestTimestamp" : "2026-06-14T21:31:19.547", "mongoId" : "6a16291c58b93c861e95a08c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data analysis", "Data engineering", "Business intelligence", "Data science", "Organizational skills", "Utility data", "MS Office", "Power BI", "Tableau" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a2aba0274d8ee00a06e70e9", "title" : "Lead Data/Data Modeling", "company" : "Fusion Consulting", "industry" : "Management Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data/Data Modeling role in Frankfurt am Main, Germany, adjusted for the Life Sciences industry and full-time employment." }, "location" : "Frankfurt am Main, HE, Germany", "locations" : [ "Frankfurt am Main", "HE", "Germany" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T01:23:49.886", "fingerprint" : "59683d8ad51632f5e77384c888c59d37953f39c6271a18422e2284e2f96ac3c3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/FusionConsulting/744000131651519-lead-data-data-modeling", "externalId" : "744000131651519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Frankfurt am Main", "state" : "Hesse", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.1106444,8.6820917" } ], "locationText" : "Frankfurt am Main, Hesse, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "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, GCP, Azure", "professionalSkills" : [ "Data governance", "Data quality", "Lifecycle management", "Data modeling", "Data architectures", "Business requirements" ], "hardSkillsList" : [ "Data modeling", "Data architecture", "Requirements gathering", "Prioritization", "Reporting" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Requirements gathering", "level" : "intermediate" }, { "name" : "Prioritization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Modeling, Data Architecture, Team Leadership", "majorSkillsList" : [ "Data Modeling", "Data Architecture", "Team Leadership" ], "coreResponsibilities" : "Lead data modelers, Manage data modelers, Provide guidance, Provide coaching, Oversee performance, Define team priorities, Allocate tasks, Ensure timely delivery, Act as point of contact, Facilitate workshops, Gather requirements, Prioritize requirements, Translate business requirements, Create data modeling solutions, Ensure alignment with expectations, Provide regular reporting, Report on team progress, Report on risks, Report on dependencies", "teamCollaboration" : "Global teamwork", "domainKnowledge" : "Life Sciences industry; Pharma; Healthcare; Animal Health; S4HANA; Data governance; Data quality; Data lifecycle management", "domainList" : [ "life-sciences-industry", "pharma", "healthcare", "animal-health", "s4hana", "data-governance", "data-quality", "data-lifecycle-management" ], "domainSpecificKnowledge" : [ "Life Sciences industry", "Pharma", "Healthcare", "Animal Health", "S4HANA", "Data governance", "Data quality", "Data lifecycle management" ], "toolProficiency" : [ "dbt", "Fivetran", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake" ], "communicationSkills" : "Stakeholder management; Customer communication", "continuousLearning" : "Annual Training Budget; Continuous Learning", "innovationCreativity" : "Innovative solutions; Challenge the status quo", "problemSolvingSkills" : "Translate business needs; Technical solutions", "specialRequirements" : "25 days Workflex", "qualificationsBasic" : "Fluency in German, Fluency in English, Expertise in data modeling, Expertise in data architectures, Experience leading teams, Experience managing teams", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. We are currently seeking a Lead Data Modelling professional to join our team in Germany, responsible for overseeing data modeling activities and ensuring alignment with strategic business objectives. * Lead and manage a team of data modelers, providing guidance, coaching, and performance oversight * Define team priorities, allocate tasks, and ensure timely delivery of milestones * Act as the primary point of contact for the customer and key business stakeholders for the data modeling team * Facilitate workshops for requirements gathering and prioritization * Translate business requirements into data modeling solutions and ensure alignment with expectations * Provide regular reporting on team progress, risks, and dependencies ## Qualifications Key Skills & Experience * Ability to translate business needs into technical solutions * Excellent stakeholder management and communication skills * Strong understanding of data governance, quality, and lifecycle management * Expertise in data modeling and data architectures * Experience leading and managing teams of data professionals * Experience in delivering data-driven projects in complex environments * Fluency in German and English are a must ## Additional Information Why Fusion? At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients. We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning—for themselves and their colleagues. We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities. Our Benefits: * Workflex: Enjoy 25 days of flexibility to work from your preferred global location. * Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. * Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. * Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. * Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. * Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. * Referral Program: Earn a referral fee for every successfully hired referee. * Local Benefits: Access a range of country-specific benefits tailored to your location. * People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. * Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.", "summaryDescription" : "Lead Data/Data Modeling at Fusion Consulting. Skills: Data Modeling, Data Architecture, Team Leadership. Lead data modelers. Manage data modelers", "postedDate" : "2026-06-11T11:34:48.000", "createdAt" : "2026-06-12T00:05:47.703", "lastUpdated" : "2026-06-14T01:23:49.886", "ingestTimestamp" : "2026-06-12T00:05:47.703", "mongoId" : "6a2aba0274d8ee00a06e70e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data architecture", "Requirements gathering", "Prioritization", "Reporting", "Leadership", "Mentoring", "Data Modeling", "Data Architecture", "Team Leadership", "Data governance", "Data quality", "Lifecycle management", "Data architectures", "Business requirements", "Life Sciences industry", "Pharma", "Healthcare", "Animal Health", "S4HANA", "Data lifecycle management", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "dbt", "Fivetran", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake" ], "skillCount" : 33, "jobCategory" : "other", "jobSubcategory" : "Data Excellence & Strategy (DES)", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Life Sciences" }, { "id" : "6a2a683b74d8ee00a06337c9", "title" : "Model Trains Expert", "company" : "Catawiki", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Model Trains Expert in E-Commerce, adjusted for a remote role and company size." }, "location" : "Belgium", "locations" : [ "Belgium", "France", "Germany", "Italy", "Netherlands", "Portugal", "Spain", "United Kingdom" ], "timestamp" : "2026-06-14T20:37:47.742", "fingerprint" : "53d0f3e21f50d29c6826b5170e880c0bf2f0188ab02aaa4c998b4df8b9fedfc2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/catawiki/jobs/7988470", "externalId" : "7988470", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "professionalSkills" : [ "Commercial acumen", "Eye for trade", "Eye for value" ], "majorSkills" : "Model Trains expertise, Valuation, Collector expectations", "majorSkillsList" : [ "Model Trains expertise", "Valuation", "Collector expectations" ], "coreResponsibilities" : "Evaluate model train lots, Arrange model train lots, Create weekly lot selections, Review titles, Review descriptions, Review images, Provide estimated values, Safeguard fair transactions, Communicate rejections professionally, Communicate rejections diplomatically, Maintain seller relationships, Attract new sellers, Diversify lot range, Diversify lot quality, Increase bidder engagement, Increase auction visibility", "teamCollaboration" : "Collaborate with Sales; Partner with Marketing", "domainKnowledge" : "Model Trains brands; Model Trains rarity; Model Trains condition", "domainList" : [ "model-trains-brands", "model-trains-rarity", "model-trains-condition" ], "domainSpecificKnowledge" : [ "Model Trains brands", "Model Trains rarity", "Model Trains condition" ], "communicationSkills" : "Professional communication; Diplomatic communication", "continuousLearning" : "Learning & Development initiatives; Development plans; Mentorship programmes", "qualificationsBasic" : "Expert knowledge in Model Trains, Documented commercial experience, Good computer skills, Confidence working with digital tools, Good command of English", "qualificationsPreferred" : "Network of potential sellers, Network of experts within field", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission As a Model Trains Expert, your mission is to bring your specialist model trains expertise to the curation of high-quality, compelling auctions that attract engaged collectors and trusted sellers. Your knowledge of brands, rarity, condition, valuation, and collector expectations is central to ensuring each lot is relevant, accurately assessed, and commercially strong. By combining deep category expertise with sound commercial judgement, you play a key role in growing the Model Trains category, maintaining transparency, and strengthening trust within the collector community. What You’ll Do Evaluate and arrange model train lots submitted by users, ensuring each auction features attractive and relevant listings Create compelling weekly lot selections using your expertise and professional network Review titles, descriptions, and images to assess quality and provide accurate estimated values Safeguard transparent and fair transactions through consistent expert evaluation Communicate rejections professionally and diplomatically, maintaining strong seller relationships Collaborate with Sales to attract new sellers and diversify the range and quality of lots Partner with Marketing to increase bidder engagement and visibility for your auctions What You’ll Bring Expert knowledge in Model Trains Strong commercial acumen and documented commercial experience An eye for trade and value within the collectibles market Excellent communication skills, with the ability to act diplomatically in user disputes A network of potential sellers and experts within your field Good computer skills and confidence working with digital tools Good command of English, written and spoken Where You’ll Be This is a 100% remote role that can be based in the Netherlands, Belgium, France, Germany, Italy, Portugal, Spain, or the United Kingdom. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.", "summaryDescription" : "Model Trains Expert at Catawiki. Skills: Model Trains expertise, Valuation, Collector expectations. Evaluate model train lots. Arrange model train lots", "postedDate" : "2026-06-11T21:32:20.674", "createdAt" : "2026-06-11T21:32:20.674", "lastUpdated" : "2026-06-14T20:37:47.742", "ingestTimestamp" : "2026-06-11T21:32:20.674", "mongoId" : "6a2a683b74d8ee00a06337c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model Trains expertise", "Valuation", "Collector expectations", "Commercial acumen", "Eye for trade", "Eye for value", "Model Trains brands", "Model Trains rarity", "Model Trains condition" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "experts", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "693c2b9170f0b99d5844011f", "title" : "Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T00:01:28.425", "fingerprint" : "e349d8d3df0746bdb9168b51de01e7de4be8baadd861ee5e5dac9521a710ccea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137793/apply", "externalId" : "88d1fd22-664c-438b-ab7a-abaa7e8440a1", "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", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Machine Learning, Large Language Model", "professionalSkills" : [ "Model Customization", "Generative AI", "Optimization" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Model selection", "Model training", "Model tuning", "Model distillation", "Hardware optimization" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Model selection", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model tuning", "level" : "intermediate" }, { "name" : "Model distillation", "level" : "intermediate" }, { "name" : "Hardware optimization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Model Customization, Machine Learning", "majorSkillsList" : [ "Generative AI", "Model Customization", "Machine Learning" ], "coreResponsibilities" : "Collaborate with AI/ML scientists and architects, Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers directly, Understand customer business problems, Aid customers in implementation of generative AI solutions, Brief customers on adoption patterns, Guide customers on paths to production, Help customers optimize their solutions, Provide customer and market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Customers; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Machine Learning; Model Optimization", "domainList" : [ "generative-ai", "machine-learning", "model-optimization" ], "domainSpecificKnowledge" : [ "Generative AI", "Machine Learning", "Model Optimization" ], "communicationSkills" : "Customer presentations", "innovationCreativity" : "Innovate; Research new algorithms; Find new ways of optimizing", "problemSolvingSkills" : "Solve real world problems; Optimize risk; Optimize profitability; Optimize customer experience", "outcomesObjectives" : "Realize transformational business opportunities; Create greatest value for businesses; Launch solutions at scale", "qualificationsBasic" : "3+ years of building models, Master's degree and 4+ years of CS, CE, ML or related field experience, Experience in patents or publications, Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing", "qualificationsPreferred" : "Experience using Unix/Linux, Experience in professional software development, Experience with Machine Learning and Large Language Model fundamentals, Experience in architecture, training/inference lifecycles, Experience in optimization of model execution, Experience in development in the last 3 years", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in development in the last 3 years Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Model Customization, Machine Learning. Collaborate with AI/ML scientists and architects. Research generative AI solutions", "postedDate" : "2026-06-13T00:47:18.294", "createdAt" : "2026-06-13T00:47:18.294", "lastUpdated" : "2026-06-15T00:01:28.425", "ingestTimestamp" : "2026-06-13T00:47:18.294", "mongoId" : "693c2b9170f0b99d5844011f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137793/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Distributed computing", "High-performance computing", "Model selection", "Model training", "Model tuning", "Model distillation", "Hardware optimization", "Generative AI", "Model Customization", "Machine Learning", "Optimization", "Model Optimization" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f072beec4dd3d934259", "title" : "Cleared Data Center Mechanical Field Engineer", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Infrastructure Eng, Cloud Computing", "salary" : { "min" : 60000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hilliard, Ohio, USA", "locations" : [ "Hilliard, Ohio, USA" ], "timestamp" : "2026-06-15T04:28:58.353", "fingerprint" : "d26b19454b030756e2ce4afee125c74a655943b824201b27d51e36627f097947", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381703/apply", "externalId" : "9f7bbd14-e5f0-485b-a6f9-e79439aa0cde", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hilliard", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0338140,-83.1596108" } ], "locationText" : "Hilliard, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Mechanical equipment, Electrical equipment, HVAC systems, Power Systems, Fluid Dynamics, Thermodynamics", "professionalSkills" : [ "Engineering Judgement", "Engineering projects", "Site audits", "Risk mitigation", "Remediation" ], "hardSkillsList" : [ "Root Cause Analysis", "Corrective Action documentation", "Operating procedure reviews", "Design solutions", "Engineering site audits", "Construction commissioning" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Root Cause Analysis", "level" : "intermediate" }, { "name" : "Corrective Action documentation", "level" : "intermediate" }, { "name" : "Operating procedure reviews", "level" : "intermediate" }, { "name" : "Design solutions", "level" : "intermediate" }, { "name" : "Engineering site audits", "level" : "intermediate" }, { "name" : "Construction commissioning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Data Center Engineering, Field Engineering, Mechanical Systems", "majorSkillsList" : [ "Data Center Engineering", "Field Engineering", "Mechanical Systems" ], "coreResponsibilities" : "Provide full life-cycle support to AWS Data Centers, Perform design review for new Data Centers, Perform equipment submittal review, Troubleshoot site/equipment failures, Conduct Root Cause Analysis, Create Corrective Action documentation, Support operational issues, Provide ad-hoc training, Review complex operating procedures, Support critical equipment, Support events, Own design for data center upgrades, Design solutions to add capacity, Design solutions to improve availability, Design solutions to increase efficiency, Interface with design engineering team, Interface with server hardware team, Interface with environmental health and safety team, Promote standards for consistency, Promote standards for reliability, Work on concurrent projects, Lead engineering site audits, Produce risk reports, Recommend mitigations, Recommend remediation, Act as resident engineer during new construction, Support construction, Support commissioning, Support turnover, Fit out data centers", "teamCollaboration" : "Engage with diverse teams; Interface with internal teams; Work with different teams; Collaborate with people across AWS", "projectManagementSkills" : [ "Engineering projects", "Managing consultants" ], "domainKnowledge" : "Data Center Design; Mission critical facilities; AWS Data Centers; Critical infrastructures", "domainList" : [ "data-center-design", "mission-critical-facilities", "aws-data-centers", "critical-infrastructures" ], "domainSpecificKnowledge" : [ "Data Center Design", "Mission critical facilities", "AWS Data Centers", "Critical infrastructures" ], "communicationSkills" : "Technical advice; Create documentation", "documentationSkills" : "Corrective Action documentation; Produce reports", "innovationCreativity" : "Innovative projects", "problemSolvingSkills" : "Troubleshoot failures; Root Cause Analysis; Solve problems with engineered solutions", "specialRequirements" : "US Citizen, Active TS/SCI clearance, Polygraph required, Valid US driver's license, Reliable personal transportation", "outcomesObjectives" : "Add capacity; Improve availability; Increase efficiency; Maintain consistency; Maintain reliability", "qualificationsBasic" : "Knowledge of critical data center mechanical and electrical equipment, Experience with data center construction, operation, or maintenance, Bachelor's degree in Mechanical Engineering, Valid US driver's license, Reliable personal transportation, US Citizen, Active TS/SCI security clearance with polygraph", "qualificationsPreferred" : "Knowledge of HVAC systems, Knowledge of Power Systems, Knowledge of Fluid Dynamics, Knowledge of Thermodynamics, Experience carrying design concepts through exploration, development, and into deployment, Experience reading construction drawings, Experience interpreting construction drawings, Experience creating construction drawings, Experience reading specifications, Experience interpreting specifications, Experience creating specifications, Experience reading submittal documents, Experience interpreting submittal documents, Experience creating submittal documents, Knowledge of mechanical systems for critical infrastructures, Knowledge of electrical systems for critical infrastructures, Knowledge of controls systems for critical infrastructures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We have an immediate opening for a Field Engineer in the Hilliard, OH region. As an Amazon Field Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the ‘go to’ engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to: - Perform design and equipment submittal review for new Data Centers in your region. - Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures. - Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support. - Own the design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency. - Interface with internal data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered. - Work on concurrent projects, sometimes in multiple geographical regions. - Initiate and lead engineering site audits within Amazon’s owned or colo data centers. Produce reports outlining risks with recommended mitigations and remediation. - Act as resident engineer during new construction projects. Support construction, commissioning, and turnover. Must have a valid US driver's license and reliable personal transportation by start date. This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities Amazon's vision is to be the world's most customer-centric company, and this role is key to that vision. As a Field Engineer, you will be leading projects to fit out our data centers to meet ever-evolving customer needs as we continue expanding our fleet to hyper-scale. As an ideal candidate you: * Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity. * Are detail and data oriented? * Have experience solving problems with engineered solutions. * Have experience managing engineering projects and consultants. * Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers). * Are adaptable and inclined to get into the field to see things up close. * Excited about a mix of office and field work. A day in the life Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally. If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you! About the team ADC (Amazon Dedicated Cloud) Field Engineering provides engineering support to the data center operations personnel at sites supporting the US intelligence community. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Knowledge of critical data center mechanical and electrical equipment - Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers - Bachelor's degree in Mechanical Engineering Preferred Qualifications: - Knowledge of HVAC systems - Knowledge of Power Systems, Fluid Dynamics, or Thermodynamics - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Knowledge of mechanical, electrical, and controls systems for critical infrastructures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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Perception teams; Planning teams; Controls teams; Testing/operations teams; Perception, planning, systems teams; Software infrastructure teams; Data software & services teams", "projectManagementSkills" : [ "Project prioritization" ], "domainKnowledge" : "Robotics; Autonomous vehicles; Localization systems; Mapping systems; Industrial vehicle platforms; Logistics yards; GPS-denied environments; Dynamic industrial environments; GPS interference; HD mapping systems; Real outdoor robotics; Safety critical software; Driverless trucks", "domainList" : [ "robotics", "autonomous-vehicles", "localization-systems", "mapping-systems", "industrial-vehicle-platforms", "logistics-yards", "gps-denied-environments", "dynamic-industrial-environments", "gps-interference", "hd-mapping-systems", "real-outdoor-robotics", "safety-critical-software", "driverless-trucks" ], "domainSpecificKnowledge" : [ "Robotics", "Autonomous vehicles", "Localization systems", "Mapping systems", "Industrial vehicle platforms", "Logistics yards", "GPS-denied environments", "Dynamic industrial environments", "GPS interference", "HD mapping systems", "Real outdoor robotics", "Safety critical software", "Driverless trucks" ], "toolProficiency" : [ "ROS", "ROS2" ], "communicationSkills" : "Technical direction", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "Ph. D. or Master’s degree, 7+ years of experience, Proficiency in C++, GPU programming experience, Real-time robotic systems experience, Familiar with ROS/ROS2, Deep understanding of SLAM algorithms, Sensor fusion including Lidar, Camera, GNSS-INS, State estimation including Kalman Filters, Lidar and visual odometry methods, HD mapping systems, Tool development and data pipelines, Machine learning approaches for localization, Map features/semantics, Sensor calibration, Degradations/maintenance in real outdoor robotics, Safety critical software development processes, Simulation regression testing, Fleet-scale release validation, Mentoring junior/mid-level engineers, Guiding technical direction, Contributing to organizational growth, Excellent communication skills", "qualificationsPreferred" : "ROS/ROS2 familiarity", "remoteFriendly" : false, "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. We are seeking a Staff Research Scientist, Localization and Mapping to serve as a principal technical authority for our multi-disciplinary autonomy teams. In this individual contributor (IC) role, you will champion the research roadmap, essential tool developments, scalable map generation, scaling of simulation regression tests, and live autonomy stack core modules for safety-critical applications on driverless trucks in complex logistics yards. Our autonomy solutions must overcome environmental challenges not limited to high vibration/shock (industrial vehicle platforms/loads), high environmental change (shipping container stock variance), high occlusions from large actors/structures, all-weather 24-hour everyday operational demands, and high-precision alignments for parking or interfacing with specialized logistics equipment. This role combines cutting-edge research with deep system architecture ownership. You will stay abreast of current research trends and mentor the team to translate advanced robotics algorithms into robust, real-world systems. You will work closely with perception, planning, controls, and testing/operations teams to deliver production-grade autonomy solutions for real-world deployments. Role responsibilities - Lead the design and development of localization and mapping systems for autonomous logistics vehicles - Architect scalable and automated HD map generation, maintenance, regression and deployment pipelines - Develop robust multi-sensor localization solutions using LiDAR, GNSS, IMU, cameras, and wheel odometry - Improve localization accuracy and reliability in GPS-denied or dynamic industrial environments with GPS interference. - Define software architecture, performance metrics, testing strategies, and deployment standards - Collaborate with perception, planning, systems, software infrastructure, and data software & services teams to integrate localization and maps into the autonomy stack - Drive technical roadmap, project prioritization, and engineering execution - Support field testing, debugging, and deployment activities Required experience - Educational Background: Ph.D. or Master’s degree in Computer Science, Robotics, Engineering, or a related field, with a focus on localization and/or mapping for autonomous systems. - 7+ years of experience in robotics, autonomous vehicles, or localization/mapping systems - Strong proficiency in C++, GPU programming, and experience with real-time robotic systems (preferably familiar with ROS/ROS2) - Deep understanding of: - SLAM algorithms - Sensor fusion including Lidar, Camera, GNSS-INS - State estimation including Kalman Filters - Lidar and visual odometry methods - HD mapping systems, including tool development and data pipelines - Machine learning approaches for localization and map features/semantics - Sensor calibration and degradations/maintenance in real outdoor robotics deployments - Safety critical software development processes including simulation regression testing and fleet-scale release validation - Influence & Mentorship: Demonstrated experience mentoring junior/mid-level engineers, guiding technical direction, and contributing to organizational growth through technical excellence. - Collaboration & Communication: Excellent communication skills for working across multidisciplinary teams and influencing technical direction.", "summaryDescription" : "Staff Research Scientist, Localization and Mapping at Venti Technologies. Skills: Localization, Mapping, Robotics, Autonomous vehicles. Lead research roadmap. Develop essential tools", "createdAt" : "2026-06-14T21:40:12.222", "lastUpdated" : "2026-06-16T00:57:53.090", "ingestTimestamp" : "2026-06-14T21:40:12.222", "mongoId" : "6a2c771b74d8ee00a093bc14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sensor fusion", "State estimation", "Odometry methods", "Sensor calibration", "Regression testing", "Release validation", "Mentorship", "Localization", "Mapping", "Robotics", "Autonomous vehicles", "System architecture", "Technical roadmap", "Project prioritization", "Engineering execution", "Localization systems", "Mapping systems", "Industrial vehicle platforms", "Logistics yards", "GPS-denied environments", "Dynamic industrial environments", "GPS interference", "HD mapping systems", "Real outdoor robotics", "Safety critical software", "Driverless trucks", "ROS", "ROS2" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a803e74d8ee00a066cf16", "title" : "Model Risk Specialist", "company" : "Nubank", "industry" : "Financial Services", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Model Risk Specialist in São Paulo, Brazil, adjusted for the FinTech industry and company size." }, "location" : "São Paulo", "locations" : [ "São Paulo" ], "timestamp" : "2026-06-14T21:19:33.724", "fingerprint" : "4be9547c080f18a876b01bf8f3b782f885caf6d0dfa7ac402858c00c70354f3d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nubank/jobs/7988285", "externalId" : "7988285", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "hybrid", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "technicalSkills" : "Spark, Scala, AWS, GCP, Azure, Python, Machine Learning, Generative AI, Agentic AI, LLM", "professionalSkills" : [ "Risk management", "Model validation", "Data governance", "Feature engineering", "MLOps practices", "Model monitoring", "AI quality", "Agent behavior" ], "hardSkillsList" : [ "Data lineage", "Data quality", "Feature governance", "Drift detection", "Pipeline stability", "Performance degradation" ], "hardSkills" : [ { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Feature governance", "level" : "intermediate" }, { "name" : "Drift detection", "level" : "intermediate" }, { "name" : "Pipeline stability", "level" : "intermediate" }, { "name" : "Performance degradation", "level" : "intermediate" } ], "majorSkills" : "Model Risk, AI Risk Management, Data Governance, MLOps", "majorSkillsList" : [ "Model Risk", "AI Risk Management", "Data Governance", "MLOps" ], "coreResponsibilities" : "Review and assess models, Develop tools, Develop playbooks, Develop analyses, Focus on infrastructure risks, Focus on data risks, Assess feature engineering risks, Assess feature stores risks, Assess MLOps pipelines risks, Assess model monitoring risks, Assess deployment platforms risks, Assess data governance practices risks, Identify risks, Assess risks, Report risks", "teamCollaboration" : "Model platform teams; Data platform teams", "domainKnowledge" : "Data Mesh architecture; SR 11-7; SR 26-2; OCC 2011-12; NIST AI RMF", "domainList" : [ "data-mesh-architecture", "sr-11-7", "sr-26-2", "occ-2011-12", "nist-ai-rmf" ], "domainSpecificKnowledge" : [ "Data Mesh architecture", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Learning platform", "qualificationsBasic" : "5+ years experience, SQL proficiency, English communication skills", "qualificationsPreferred" : "Infrastructure experience with Spark/Scala, Experience in 2nd or 3rd line of defense, Prior experience in model risk management, Prior experience in model validation, Data/ML engineering role transitioning into risk, Familiarity with model risk frameworks, Familiarity with regulatory expectations", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! About the Role At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. This is an individual contributor role, you will both review and assess what first-line teams build, and actively develop tools, playbooks, and analyses to mature our risk practices. You will focus on the infrastructure and data risks that surround model development and deployment: feature engineering and feature stores, MLOps pipelines, model monitoring, deployment platforms, and data governance practices. You will work closely with model and data platform teams to identify, assess, and report risks independently, bringing a second-line perspective without losing technical depth. Responsibilities Infrastructure experience with Spark/Scala is a plus. ML infrastructure knowledge: Hands-on familiarity with MLOps practices, CI/CD pipelines for models, feature stores, and cloud-based ML platforms (AWS, GCP, or Azure). Data governance: Understanding of Data Mesh architecture and principles, data lineage, data quality frameworks, and feature governance practices. Model monitoring: Experience with model and data monitoring concepts, including drift detection, pipeline stability, and performance degradation tracking. Good written and verbal communication skills in English Understanding of risk management principles, control design, and governance frameworks (e. g. ERM, COSO); experience in a 2nd or 3rd line of defense is a strong plus. Prior experience in model risk management, model validation, or a data/ML engineering role transitioning into risk (nice to have) Familiarity with model risk frameworks and regulatory expectations (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF)-(nice to have) Location & Work Model Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. This position is based in Sao Paulo, Brazil. Benefits Chance of earning equity at Nubank Food/ Meal Card (Vale-Refeição and/or Vale Alimentação) Public Transportation Commuting Benefit (Vale-Transporte) NuCare – Psychological, Financial and Legal Assistance Program Life Insurance Medical Plan Dental Plan NuLanguage – Language Course Program Nucleo - Our learning platform of courses Extended Parental Leave Daycare Allowance Parental Consultancy Work-from-home Allowance Gym Partnerships 30 days of paid vacation Relocation Assistance Package, if applicable", "summaryDescription" : "Model Risk Specialist at Nubank. Skills: Model Risk, AI Risk Management, Data Governance, MLOps. Review and assess models. Develop tools", "postedDate" : "2026-06-11T19:01:52.243", "createdAt" : "2026-06-11T19:01:52.243", "lastUpdated" : "2026-06-14T21:19:33.724", "ingestTimestamp" : "2026-06-11T19:01:52.243", "mongoId" : "6a2a803e74d8ee00a066cf16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data lineage", "Data quality", "Feature governance", "Drift detection", "Pipeline stability", "Performance degradation", "Model Risk", "AI Risk Management", "Data Governance", "MLOps", "Risk management", "Model validation", "Data governance", "Feature engineering", "MLOps practices", "Model monitoring", "AI quality", "Agent behavior", "Data Mesh architecture", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF" ], "skillCount" : 23, "jobCategory" : "other", "jobSubcategory" : "risk-management", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca1a274d8ee00a09a60f3", "title" : "Model & Simulation Specialist", "company" : "Delta Solutions & Strategies", "industry" : "328 WPS", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Model & Simulation Specialist in the Government industry in Nellis Air Force Base, United States, adjusted for seniority and company size." }, "location" : "Nellis AFB, NV", "locations" : [ "Nellis AFB, NV" ], "timestamp" : "2026-06-16T00:34:56.457", "fingerprint" : "9f15129c68ef8b360e3750aa172dba6c6e47aeb15b6f25135468f4fd6063d307", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/deltasands/4d392cc1-fbc6-4c52-8cb7-76c8bca0f520/apply", "externalId" : "4d392cc1-fbc6-4c52-8cb7-76c8bca0f520", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nellis Air Force Base", "state" : "Nevada", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.2400685,-114.9862891" } ], "locationText" : "Nellis Air Force Base, Nevada, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Mid", "remoteFriendly" : false, "rawDescription" : "## Description Delta Solutions & Strategies is seeking a Modeling & Simulation Specialist at Nellis AFB, NV. ## What you will be doing Write, test, and implement code for M&S tools in Visual Basic for applications in Microsoft Excel (at a minimum), Java Script (highly desired), Python (highly desired), and Java (desired). Work with Ansys Systems Toolkit’s Connect command library and object model. Able to read and understand SysML diagrams to guide development of additional M&S tools and/or modules. Provide training on operating the simulator in Blue/Red/White cell roles for instructors going through Weapons Instructor Upgrade Course (WIUC) and will provide continuation training for the instructor cadre twice per Weapons School class. Maintain procedures, academics, and exercise scenarios to enable students to learn how to operate 328 WPS M&S tools. Support 328 WPS (and other USAFWS squadrons as able) by translating mission products into M&S scenarios for the 328 WPS M&S tools. Support execution of USAFWS missions as Space White Cell when required. Assist in the coding, testing, and implementation of modules and upgrades for 328 WPS M&S tools. ## What you will need 5-10 years of modeling & simulation experience Clearance: TS/SCI required Associate degree mandatory (Bachelor’s preferred) ## Additional Information Delta Solutions & Strategies offers a generous benefits package to include medical, dental, vision, life insurance, 401(k), PTO, paid holidays, parental, military and jury duty paid leaves. We are an Equal Opportunity Employer. We do not and will not discriminate in employment and personnel practices based on race, sex, age, disability, veteran status, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring, and promotion practices are performed without regard to the above listed items. EEO/AAP, M, F, V, D.", "summaryDescription" : "Model & Simulation Specialist at Delta Solutions & Strategies", "postedDate" : "2026-06-11T14:08:26.150", "createdAt" : "2026-06-11T14:08:26.150", "lastUpdated" : "2026-06-16T00:34:56.457", "ingestTimestamp" : "2026-06-14T21:16:15.692", "mongoId" : "6a2ca1a274d8ee00a09a60f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42bf8b1b0376634c6ce", "title" : "Applied Scientist, Model Customization", "company" : "Amazon Web Services, Inc.", "industry" : "Machine Learning Science, Applied Science, Cloud Computing", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T02:38:40.404", "fingerprint" : "ca81a5998ae6a9b90f2cac032e7510efe4136f586efca3291c092073c266c5ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076322/apply", "externalId" : "6122b08a-35f7-4356-a909-0178ed5d2cff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Python, Generative AI, Machine Learning, AI, LLM, Foundational Model, AWS, Amazon Bedrock, Amazon SageMaker", "professionalSkills" : [ "Model selection", "Model training", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Model optimization", "Inference optimization" ], "hardSkillsList" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Reinforcement learning", "Agentic workflow", "Agent customization" ], "hardSkills" : [ { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Parsing", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Distributed computing", "level" : "intermediate" }, { "name" : "High-performance computing", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Agentic workflow", "level" : "intermediate" }, { "name" : "Agent customization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Model Customization, LLM", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Model Customization", "LLM" ], "coreResponsibilities" : "Research generative AI solutions, Design generative AI solutions, Develop generative AI solutions, Evaluate generative AI solutions, Interact with customers, Understand business problems, Aid customers in implementation, Brief customers, Guide customers on adoption patterns, Guide customers on paths to production, Optimize customer solutions, Select models, Train models, Tune models, Right-size models, Distill models, Optimize hardware, Provide customer feedback, Provide market feedback, Design experiments, Run experiments, Research new algorithms, Find new ways of optimizing risk, Find new ways of optimizing profitability, Find new ways of optimizing customer experience, Design state-of-the-art solutions, Evangelize state-of-the-art solutions, Implement state-of-the-art solutions", "teamCollaboration" : "AI/ML scientists; Architects; Customers", "domainKnowledge" : "Generative AI; Large Language Models; Foundational Models; Model optimization; Agentic workflow", "domainList" : [ "generative-ai", "large-language-models", "foundational-models", "model-optimization", "agentic-workflow" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "Foundational Models", "Model optimization", "Agentic workflow" ], "toolProficiency" : [ "trl", "verl", "LangChain", "LlamaIndex" ], "innovationCreativity" : "Innovate in a fast-paced organization; Game-changing projects; Game-changing technologies", "problemSolvingSkills" : "Solve real world problems; Navigate technical challenges; Navigate business challenges; Optimize risk; Optimize profitability; Optimize customer experience; Solve never-before-solved problems", "qualificationsBasic" : "Master’s degree plus 5 years of relevant work experience, 5+ years of hands on experience with Python, 2+ years of experience in algorithms and data structures, 2+ years of experience in parsing, 2+ years of experience in numerical optimization, 2+ years of experience in data mining, 2+ years of experience in parallel and distributed computing, 2+ years of experience in high-performance computing, Experience with design, development, and optimization of generative AI solutions, Experience with generative AI algorithms, Experience with generative AI technologies, Scientific publication track record", "qualificationsPreferred" : "PhD degree in computer science, PhD degree in engineering, PhD degree in mathematics, PhD degree in operations research, PhD degree in a highly quantitative field, 2+ years LLM post-training experience, 2+ years LLM continual pre-training experience, 2+ years LLM fine-tuning experience, 2+ years LLM reinforcement learning experience, 2+ years Foundational Model post-training experience, 2+ years Foundational Model continual pre-training experience, 2+ years Foundational Model fine-tuning experience, 2+ years Foundational Model reinforcement learning experience, Experience building LLM-powered agentic workflow, Experience building LLM-powered orchestration, Experience building LLM agent customization, Track record of building ML models at scale, Track record of deploying ML models at scale, Experience with quantization, Experience with distillation, Experience with compression, Experience with inference optimization, Experience with trl, Experience with verl, Experience with LangChain, Experience with LlamaIndex, Hands-on experience building generative AI applications on AWS, Hands-on experience using Amazon Bedrock, Hands-on experience using Amazon SageMaker", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization • Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications: - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master’s degree plus 5 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Scientific publication track record at top-tier AI/ML/NLP conferences or journals Preferred Qualifications: - • 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. - • Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization - • Track record of building and deploying ML models at scale - • Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) - • Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools - • Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - • Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Model Customization at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Model Customization, LLM. Research generative AI solutions. Design generative AI solutions", "postedDate" : "2026-06-13T03:19:04.757", "createdAt" : "2026-06-13T03:19:04.757", "lastUpdated" : "2026-06-15T02:38:40.404", "ingestTimestamp" : "2026-06-13T03:19:04.757", "mongoId" : "68c2e42bf8b1b0376634c6ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076322/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Algorithms", "Data structures", "Parsing", "Numerical optimization", "Data mining", "Parallel computing", "Distributed computing", "High-performance computing", "Reinforcement learning", "Agentic workflow", "Agent customization", "Generative AI", "Machine Learning", "Model Customization", "LLM", "Model selection", "Model training", "Model tuning", "Right-sizing", "Distillation", "Hardware optimization", "Model optimization", "Inference optimization", "Large Language Models", "Foundational Models", "trl", "verl", "LangChain", "LlamaIndex" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a8bb974d8ee00a0683a5d", "title" : "Human Sub Research Spec", "company" : "University of Rochester", "industry" : "Healthcare", "salary" : { "min" : 21.36, "max" : 29.9, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-13T10:27:23.693", "fingerprint" : "629c07f531b28184ad2c49d973e5e06b678b2a2ca02ba491149f400858c8a9ec", "source" : "workday", "language" : "en", "applyUrl" : "https://rochester.wd5.myworkdayjobs.com/UR_Staff/job/School-of-Medicine-and-Dentistry/Human-Sub-Research-Spec-I_R271801", "externalId" : "R271801", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Rochester", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.1572850,-77.6152140" } ], "locationText" : "Rochester, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "professionalSkills" : [ "Human subject research", "Clinical research", "Data collection", "Regulatory compliance" ], "hardSkillsList" : [ "Protocol adherence", "Adverse event reporting", "Data security" ], "hardSkills" : [ { "name" : "Protocol adherence", "level" : "intermediate" }, { "name" : "Adverse event reporting", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" } ], "majorSkills" : "Human subject research, Research coordination, Protocol adherence", "majorSkillsList" : [ "Human subject research", "Research coordination", "Protocol adherence" ], "coreResponsibilities" : "Coordinate research activities, Explain study information, Assist in recruitment, Screen potential candidates, Conduct telephone interviews, Review medical chart history, Ensure participant adherence, Document adverse events, Report adverse events, Secure data, Train staff on protocol, Document dispensing of study materials, Liaise with Sponsor's Monitor, Provide data clarifications, Respond to sponsor questions, Prepare for sponsor visits, Keep current with policies, Make recommendations for changes, Implement changes as appropriate", "teamCollaboration" : "Liaison with Sponsor's Monitor; Communicate with Sponsor", "domainKnowledge" : "Human subject research; Good Clinical Practice", "domainList" : [ "human-subject-research", "good-clinical-practice" ], "domainSpecificKnowledge" : [ "Human subject research", "Good Clinical Practice" ], "communicationSkills" : "Data clarifications; Respond to questions", "documentationSkills" : "Source documentation; Case report form completion; Regulatory documents", "continuousLearning" : "Continuous learning", "problemSolvingSkills" : "Data clarifications", "qualificationsBasic" : "Bachelor's degree required, Associate's degree and completion of 6 months in the Human Subject Research Coordinator Trainee program required, Equivalent combination of education and experience", "qualificationsPreferred" : "Prior experience as a Phlebotomist preferred, Word processing and data analysis software preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. _**Job Location (Full Address):**_ 601 Elmwood Ave, Rochester, New York, United States of America, 14642 _**Opening:**_ Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400087 Pediatrics M&D Inf Diseases Work Shift: UR - Day (United States of America) Range: UR URG 106 H Compensation Range: $21.36 - $29.90 _The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job 's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations._ _**Responsibilities:**_ Coordinates the activities associated with human subject research. **ESSENTIAL FUNCTIONS** * Coordinates the administrative details required to initiate and conduct human subject research, including receiving, distributing, and explaining study information, such as protocol and human subject recruitment materials, to immediate team members and relevant others. * Assists in human subject recruitment and screening activities, including reviewing study site patient databases and office records for patients that meet the protocol inclusion criteria. May participate in developing recruitment strategies. May conduct telephone interviews to screen potential study candidates. Reviews medical chart history with Principal Investigator to verify inclusion criteria are met before enrollment. * Conducts visits to ensure research participant adherence with protocol requirements, such as taking of medications, proper use of device, and/or other interventional activities, to document adverse events and report to senior study staff, PI, Institutional Review Board (IRB), Sponsor, and/or any other required recipients or entities. Ensures all data are collected and secured within approved parameters and procedures. * Ensures all immediate and extended team members understand and adhere to all aspects of all approved protocols, procedures, and standards for documentation and communication. Under general direction from the Principal Investigator (PI), trains staff on details of protocol, including inclusion and exclusion criteria, informed consent procedures, study activities, source documentation and case report form (CRFs) completion, and adverse event reporting. * Reviews and documents the dispensing and returning of study materials, such as study drugs and devices. Ensures additional training is provided to ensure changes to protocol and documents are communicated and adhered to. * Acts as liaison with Sponsor’s Monitor to provide data clarifications, reviews study protocols, ensures thorough understanding and communication, responds to questions that arise during the study, communicates and documents adverse events as advised by the PI and ensures regulatory and other documents, such as consent forms and CRFs, are complete, accurate, and available for review. Communicates with Sponsor to clarify data queries to determine report format. Prepares for, participates in, and serves as liaison for scheduled Sponsor monitoring visits, such as pre-study inspection, initiation, on-going and close out visits. * Keeps current with all federal, state, sponsor, and institutional policies and laws, standard operating procedures, and guidelines and makes recommendations. Demonstrates accountability for continuous learning in accordance with Good Clinical Practice standards and guidelines. Keeps current with industry standards, best practices, and trends in therapeutic areas relevant to research studies. Makes recommendations and implements changes as appropriate. * Other duties as assigned. **MINIMUM EDUCATION & EXPERIENCE** * Bachelor's degree required or * Associate's degree and completion of 6 months in the Human Subject Research Coordinator Trainee program required * Or equivalent combination of education and experience * Prior experience as a Phlebotomist preferred **KNOWLEDGE, SKILLS AND ABILITIES** * Word processing and data analysis software preferred The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.", "summaryDescription" : "Human Sub Research Spec at University of Rochester. Skills: Human subject research, Research coordination, Protocol adherence. Coordinate research activities. Explain study information", "postedDate" : "2026-06-09T18:30:45.177", "createdAt" : "2026-06-11T18:30:44.954", "lastUpdated" : "2026-06-13T10:27:23.693", "ingestTimestamp" : "2026-06-11T18:30:44.954", "mongoId" : "6a2a8bb974d8ee00a0683a5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://rochester.wd5.myworkdayjobs.com/UR_Staff/job/School-of-Medicine-and-Dentistry/Human-Sub-Research-Spec-I_R271801", "salaryAnnualMin" : 44428, "salaryAnnualMax" : 62192, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Protocol adherence", "Adverse event reporting", "Data security", "Human subject research", "Research coordination", "Clinical research", "Data collection", "Regulatory compliance", "Good Clinical Practice" ], "skillCount" : 9, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2c5fb974d8ee00a08ee124", "title" : "Cleared Hybrid Senior Data Engineer / Analyst", "company" : "cBEYONData", "salary" : { "min" : 112400.0, "max" : 189000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "cBEYONData", "locations" : [ "cBEYONData" ], "timestamp" : "2026-06-15T01:38:14.578", "fingerprint" : "ad4e8417e7a774246787b81ae7854eadd67da060e9b5c365908f3e30d782178d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ess/jobs/7766325003", "externalId" : "7766325003", "structuredLocations" : [ { "city" : "Hanover", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.1928853,-76.7241371" } ], "locationText" : "Hanover, Maryland, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Data Dictionaries, ERDs, Database schemas, Relational database concepts, Data modeling principles", "professionalSkills" : [ "Data analysis", "Data mapping", "Data architecture support", "Database analysis", "Enterprise data modernization", "Enterprise data integration", "Data governance", "Data standardization", "Data migration", "System integration", "Data management practices" ], "hardSkillsList" : [ "Data mapping", "Data lineage", "Transformation rules", "Data definitions", "Data quality issues", "Data standardization", "Data architecture artifacts", "Data management" ], "softSkillsList" : [ "Analytical skills", "Problem-solving skills", "Critical-thinking skills" ], "hardSkills" : [ { "name" : "Data mapping", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Transformation rules", "level" : "intermediate" }, { "name" : "Data definitions", "level" : "intermediate" }, { "name" : "Data quality issues", "level" : "intermediate" }, { "name" : "Data standardization", "level" : "intermediate" }, { "name" : "Data architecture artifacts", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" }, { "name" : "Critical-thinking skills" } ], "majorSkills" : "Data mapping, Data lineage, Data integration, Data governance", "majorSkillsList" : [ "Data mapping", "Data lineage", "Data integration", "Data governance" ], "coreResponsibilities" : "Review Data Dictionaries, Analyze Data Dictionaries, Interpret Data Dictionaries, Review ERDs, Analyze ERDs, Interpret ERDs, Review interface control documents, Analyze interface control documents, Interpret interface control documents, Review technical artifacts, Analyze technical artifacts, Interpret technical artifacts, Develop enterprise Master Data Mapping documentation, Maintain enterprise Master Data Mapping documentation, Govern enterprise Master Data Mapping documentation, Document field-level mappings, Document transformation rules, Document data lineage, Document relationships across systems, Document relationships across data sources, Collaborate with system owners, Collaborate with database administrators, Collaborate with developers, Collaborate with business analysts, Collaborate with architects, Validate data definitions, Resolve mapping discrepancies, Analyze source system data models, Analyze target system data models, Identify relationships, Identify dependencies, Identify integration requirements, Identify data quality issues, Identify redundancies, Identify inconsistencies, Identify opportunities for data standardization, Support enterprise data governance initiatives, Assist with impact assessments, Ensure data mapping activities comply with DoD security, Ensure proper handling of CUI, Support development of enterprise data architecture artifacts, Support maintenance of enterprise data architecture artifacts, Support development of enterprise data architecture documentation, Support maintenance of enterprise data architecture documentation, Participate in data modernization planning, Participate in system integration planning, Provide recommendations to improve data consistency, Provide recommendations to improve data interoperability, Provide recommendations to improve enterprise data management, Serve as subject matter expert for enterprise data, Serve as subject matter expert for cross-system data", "teamCollaboration" : "Collaborate with technical stakeholders; Collaborate with multiple organizations", "domainKnowledge" : "Enterprise data modernization; Enterprise data integration; Relational databases; Data models; Data Dictionaries; ERDs; Master Data Mapping; Data lineage; Transformation rules; Data governance; Data standards; Data architecture; System integration; Data management; DoD security requirements; Controlled Unclassified Information (CUI); DoD data standards; Enterprise data strategies; Cloud-based data platforms; Cloud data architectures; Master Data Management (MDM)", "domainList" : [ "enterprise-data-modernization", "enterprise-data-integration", "relational-databases", "data-models", "data-dictionaries", "erds", "master-data-mapping", "data-lineage", "transformation-rules", "data-governance", "data-standards", "data-architecture", "system-integration", "data-management", "dod-security-requirements", "controlled-unclassified-information-cui", "dod-data-standards", "enterprise-data-strategies", "cloud-based-data-platforms", "cloud-data-architectures", "master-data-management-mdm" ], "domainSpecificKnowledge" : [ "Enterprise data modernization", "Enterprise data integration", "Relational databases", "Data models", "Data Dictionaries", "ERDs", "Master Data Mapping", "Data lineage", "Transformation rules", "Data governance", "Data standards", "Data architecture", "System integration", "Data management", "DoD security requirements", "Controlled Unclassified Information (CUI)", "DoD data standards", "Enterprise data strategies", "Cloud-based data 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database technologies, Ability to independently analyze complex enterprise systems, Secret clearance", "qualificationsPreferred" : "Experience supporting enterprise data architecture, Experience supporting data governance, Experience supporting data management initiatives, Familiarity with metadata management tools, Familiarity with data cataloging tools, Experience supporting data migration, Experience supporting system integration, Experience supporting modernization efforts, Experience supporting federal government programs, Experience supporting DoD programs, Knowledge of DoD data standards, Knowledge of enterprise data strategies, Familiarity with cloud-based data platforms, Familiarity with cloud data architectures, Experience with data quality assessment, Experience with data profiling activities, Understanding of Master Data Management concepts, Experience creating enterprise data models, Experience maintaining enterprise data models", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "cBEYONData, a subsidiary of SMX, is seeking a Senior Data Mapping Analyst to support a federal customer's enterprise data modernization and integration initiatives. This role is responsible for analyzing complex data structures across legacy and modernized systems and translating technical data artifacts into a comprehensive enterprise data mapping framework. The ideal candidate possesses strong analytical skills, experience working with relational databases and data models, and the ability to collaborate effectively with technical stakeholders across multiple systems and organizations. This role will support enterprise data architecture efforts by reviewing Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface specifications, and related technical documentation to establish and maintain authoritative cross-system data mappings, data lineage, and transformation rules. The successful candidate will operate with a high degree of independence, providing expert-level analysis and recommendations that support enterprise integration, data governance, and modernization efforts. This role is hybrid supporting a Hanover, MD program. Essential Duties & Responsibilities: • Review, analyze, and interpret Data Dictionaries, Entity-Relationship Diagrams (ERDs), interface control documents, and other technical artifacts from enterprise systems • Develop, maintain, and govern enterprise Master Data Mapping documentation to support data integration and modernization efforts • Document field-level mappings, transformation rules, data lineage, and relationships across multiple systems and data sources • Collaborate with system owners, database administrators, developers, business analysts, and architects to validate data definitions and resolve mapping discrepancies • Analyze source and target system data models to identify relationships, dependencies, and integration requirements • Identify data quality issues, redundancies, inconsistencies, and opportunities for data standardization across enterprise platforms • Support enterprise data governance initiatives through accurate documentation and adherence to established data standards • Assist with impact assessments related to system changes, data migrations, and integration efforts • Ensure all data mapping activities comply with DoD security requirements and proper handling of Controlled Unclassified Information (CUI) • Support development and maintenance of enterprise data architecture artifacts and documentation • Participate in data modernization and system integration planning activities • Provide recommendations to improve data consistency, interoperability, and enterprise data management practices • Serve as a subject matter expert for enterprise data mapping and cross-system data relationships Required Skills & Experience • Bachelor’s degree in information systems, Computer Science, Data Management, Engineering, Business Analytics, or related field • Minimum 5 years of professional experience in data analysis, data mapping, data architecture support, database analysis, or related technical disciplines • Demonstrated experience reviewing and interpreting Data Dictionaries, ERDs, database schemas, and technical documentation • Experience documenting data mappings, transformation rules, and data lineage across multiple systems • Strong understanding of relational database concepts, including tables, keys, relationships, normalization, and data modeling principles • Experience working with SQL and relational database technologies • Experience collaborating with technical and business stakeholders to gather, validate, and document data requirements • Ability to independently analyze complex enterprise systems and produce accurate technical documentation • Strong analytical, problem-solving, and critical-thinking skills • Excellent written and verbal communication skills with the ability to produce detailed technical documentation • Secret clearance Desired Skills & Experience • Experience supporting enterprise data architecture, data governance, or data management initiatives • Familiarity with metadata management and data cataloging tools • Experience supporting data migration, system integration, or modernization efforts • Experience supporting federal government or DoD programs • Knowledge of DoD data standards and enterprise data strategies • Familiarity with cloud-based data platforms and architectures • Experience working with data quality assessment and data profiling activities • Understanding of Master Data Management (MDM) concepts • Experience creating or maintaining enterprise data models Application Deadline: 7-31-2026 # LI-SA1 The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $112,400—$189,000 USD SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Cleared Hybrid Senior Data Engineer / Analyst at cBEYONData. Skills: Data mapping, Data lineage, Data integration, Data governance. Review Data Dictionaries. Analyze Data Dictionaries", "postedDate" : "2026-06-12T22:30:36.456", "createdAt" : "2026-06-12T22:30:36.456", "lastUpdated" : "2026-06-15T01:38:14.578", "ingestTimestamp" : "2026-06-12T22:30:36.456", "mongoId" : "6a2c5fb974d8ee00a08ee124", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112400, "salaryAnnualMax" : 189000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data mapping", "Data lineage", "Transformation rules", "Data definitions", "Data quality issues", "Data standardization", "Data architecture artifacts", "Data management", "Analytical skills", "Problem-solving skills", "Critical-thinking skills", "Data integration", "Data governance", "Data analysis", "Data architecture support", "Database analysis", "Enterprise data modernization", "Enterprise data integration", "Data migration", "System integration", "Data management practices", "Relational databases", "Data models", "Data Dictionaries", "ERDs", "Master Data Mapping", "Data standards", "Data architecture", "DoD security requirements", "Controlled Unclassified Information (CUI)", "DoD data standards", "Enterprise data strategies", "Cloud-based data platforms", "Cloud data architectures", "Master Data Management (MDM)" ], "skillCount" : 35, "jobCategory" : "other", "jobSubcategory" : "d&i-client-services", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c93b174d8ee00a0988c28", "title" : "Member of Technical Staff — Model Optimization and Inference (New Grad)", "company" : "Nuance Labs", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-15T21:28:57.333", "fingerprint" : "b3def937b295487a715d3e375c4737a63235b84620a7657547ffb5ba82322a7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nuancelabs/jobs/4283935009", "externalId" : "4283935009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Machine learning, Deep learning, Natural language processing, Computer vision, Large language models, Model optimization, Inference optimization, Python, C++, PyTorch, TensorFlow, ONNX, TensorRT, Model compression, Quantization, Pruning, Knowledge distillation, Distributed training, High-performance computing, GPU programming, CUDA, Cloud platforms, ML frameworks, Model deployment, Production environments", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation" ], "hardSkills" : [ { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Inference optimization", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Knowledge distillation", "level" : "intermediate" } ], "majorSkills" : "Model Optimization, Inference Optimization, Machine Learning, Deep Learning", "majorSkillsList" : [ "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Optimize machine learning models, Optimize deep learning models, Optimize natural language processing models, Optimize computer vision models, Optimize large language models, Optimize model inference, Develop novel optimization techniques, Implement model compression techniques, Implement quantization techniques, Implement pruning techniques, Implement knowledge distillation techniques, Collaborate with research scientists, Collaborate with engineering teams, Deploy optimized models, Evaluate model performance, Benchmark model performance, Document optimization processes, Stay current with research", "teamCollaboration" : "Research scientists; Engineering teams", "domainKnowledge" : "Machine learning; Deep learning; Natural language processing; Computer vision; Large language models; Model optimization; Inference optimization; Model compression; Quantization; Pruning; Knowledge distillation; High-performance computing; GPU programming", "domainList" : [ "machine-learning", "deep-learning", "natural-language-processing", "computer-vision", "large-language-models", "model-optimization", "inference-optimization", "model-compression", "quantization", "pruning", "knowledge-distillation", "high-performance-computing", "gpu-programming" ], "domainSpecificKnowledge" : [ "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "High-performance computing", "GPU programming" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay current with research", "innovationCreativity" : "Develop novel optimization techniques", "problemSolvingSkills" : "Model optimization; Inference optimization; Model debugging", "outcomesObjectives" : "Improve model performance; Reduce inference latency; Reduce model size; Deploy optimized models", "qualificationsBasic" : "Bachelor's degree in Computer Science, Master's degree in Computer Science, PhD in Computer Science, Experience with machine learning, Experience with deep learning, Experience with natural language processing, Experience with computer vision, Experience with large language models, Experience with model optimization, Experience with inference optimization, Experience with Python, Experience with C++, Experience with PyTorch, Experience with TensorFlow, Experience with ONNX, Experience with TensorRT, Experience with model compression, Experience with quantization, Experience with pruning, Experience with knowledge distillation", "qualificationsPreferred" : "Experience with distributed training, Experience with high-performance computing, Experience with GPU programming, Experience with CUDA, Experience with cloud platforms, Experience with ML frameworks, Experience with model deployment, Experience with production environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Nuance Labs Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence: a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person. We're a Series A company ($60M raised) backed by Lightspeed, Accel, South Park Commons, NVentures, and Define Ventures, with PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, and industry experience from Apple, Meta, Amazon AGI, and Discord. The team is small, the work is real, and the problems are unsolved. How Nuance Differentiates Most conversational AI avatars today are hacks — a face slapped on a speech-to-speech pipeline, stuck in the uncanny valley: emotionless, mechanical, one-turn-at-a-time. Current systems take 2–5 seconds to respond; natural conversation requires sub-500ms. That's a 10x improvement, and it demands rethinking the entire stack. That rethinking starts with full-duplex: an AI that listens and speaks simultaneously, perceives emotion in real time, and responds with a face that actually reflects it. It's an extremely hard problem, and we're developing foundation models designed for it from the ground up. About the Role We can train a great model. The next problem is making it fast enough to actually use in a real-time conversation — and that gap is enormous. A model that responds in 3 seconds is a demo. A model that responds in under 500ms is a product. We’re looking for someone who’s excited about taking trained models and squeezing every last millisecond out of them. You understand — or want to deeply understand — the full stack from model weights to serving infrastructure: quantization, KV cache optimization, kernel-level acceleration, batching strategies. You’ve worked with vLLM, SGLang, or similar frameworks (through coursework, research, internships, or open-source) and have opinions about where they fall short. This posting is aimed at early-career engineers finishing or recently finished with a BS, MS, or PhD. We don’t require a PhD — we care about systems intuition, engineering chops, and the appetite to go deep. Our stack is more complex than a standard LLM deployment: we’re serving a full-duplex multimodal system that must satisfy strict real-time latency constraints. There’s a lot of unsolved optimization work here, and we want someone who finds that genuinely exciting and is ready to grow fast alongside people who’ve built these systems before. What You’ll Do Contribute to end-to-end inference optimization across our model stack — LLMs, audio models, and diffusion-based components Implement and tune KV cache strategies for long-context conversations, including eviction policies, compression, and memory-efficient attention Work with inference serving frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and extend them for our specific workloads Profile and benchmark end-to-end latency and throughput; identify and systematically eliminate bottlenecks Build internal tooling that makes optimization work faster and more rigorous — profiling viewers, end-to-end inference test harnesses, and other infrastructure that helps the team move quickly Accelerate diffusion model inference — consistency models, step distillation, caching strategies, and custom kernel optimizations Apply quantization techniques (INT8, INT4, GPTQ, AWQ, and beyond) to reduce memory footprint and increase throughput without meaningfully degrading quality Work closely with research and infrastructure to ensure new models ship with optimized serving from day one What We’re Looking For BS, MS, or PhD in CS, ML, or a related field — completed or in the final stretch Strong fundamentals in LLM inference or ML systems — KV caching, memory layout, attention kernels, batching, or serving — picked up through coursework, research, internships, or open-source. You don’t need to have shipped at production scale yet; you do need to learn fast and go deep. Exposure to inference serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) — even at a research or hobby level Strong Python and PyTorch skills; familiarity with CUDA or Triton is a significant plus A systematic approach to profiling and optimization — you measure first, then optimize Curiosity about diffusion inference, speculative decoding, quantization, or other inference-time acceleration techniques Bonus Points Internship or research experience with LLM inference, ML systems, or model serving Contributions to open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.) CUDA / Triton kernel work, even at a research or hobby scale Publications or research projects in MLSys, model compression, or inference optimization Familiarity with multimodal or streaming inference architectures Experience with hard latency SLAs in any real-time system Compensation $200,000 – $300,000 base salary, plus meaningful equity. We think long-term ownership matters and structure equity accordingly. Logistics Location: In-person in Seattle, five days a week — we believe in the compounding value of working shoulder-to-shoulder. Visa sponsorship: We sponsor visas (O-1, H-1B, green card) from day one. AI-native tooling: Do your best work with the best tools, including unlimited tokens. Benefits Health: HSA plan with ~$2,000 in annual company contributions — roughly 2x what most big tech companies put in. Time off: 15 days of PTO plus public holidays, and we close the office for a full week at year-end. Food: Lunch, drinks, and snacks on us every workday — the small thing that quietly makes the day better. Commuter benefits: We help cover the cost of getting to the office. 401(k): In the works. Nuance Labs is an equal opportunity employer. We believe diverse teams build better AI.", "summaryDescription" : "Member of Technical Staff — Model Optimization and Inference (New Grad) at Nuance Labs. Skills: Model Optimization, Inference Optimization, Machine Learning, Deep Learning. Optimize machine learning models. Optimize deep learning models", "postedDate" : "2026-06-14T19:04:54.447", "createdAt" : "2026-06-14T19:04:54.447", "lastUpdated" : "2026-06-15T21:28:57.333", "ingestTimestamp" : "2026-06-14T19:04:54.447", "mongoId" : "6a2c93b174d8ee00a0988c28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning", "System design", "Algorithm design", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "High-performance computing", "GPU programming", "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2b0e9a74d8ee00a0761dd4", "title" : "VP Research (Foundation Models)", "company" : "Visium SA", "salary" : { "min" : 280000.0, "max" : 450000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive VP Research in Biotech in Lausanne, Switzerland, adjusted for seniority and company size." }, "location" : "Lausanne, Vaud, Switzerland", "locations" : [ "Lausanne, Vaud, Switzerland" ], "timestamp" : "2026-06-14T23:37:59.367", "fingerprint" : "19749ebeec756051f5713ae85ab31b844ff2fc2601b40071a4fc776b31b5402e", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/F19132C85F/apply", "externalId" : "F19132C85F", "locationPoint" : "46.516,6.63282", "structuredLocations" : [ { "city" : "Lausanne", "state" : "Vaud", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "46.5218269,6.6327025" } ], "locationText" : "Lausanne, Vaud, Switzerland", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "Foundation Models, LLMs, Distributed training, Data pipelines, Scaling laws, Evaluation harnesses, Checkpointing, Failure recovery", "professionalSkills" : [ "Pre-training strategy", "Research direction", "Technical direction" ], "hardSkillsList" : [ "Large-scale distributed training" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Large-scale distributed training", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Foundation Models, Pre-training, Distributed training", "majorSkillsList" : [ "Foundation Models", "Pre-training", "Distributed training" ], "coreResponsibilities" : "Own pre-training strategy and execution, Execute biologics foundation models, Adapt vertical LLMs, Manage full training stack, Set research direction, Set research standards, Review research, Translate frontier research, Own architectures, Own training runs", "teamCollaboration" : "Founding team; Founders; Founding research seat; Top-20 pharma companies; Founding team; International team", "domainKnowledge" : "Regulated industries; Biologics; Scientific domains; Protein; Genomic; Molecular; Structural; Multi-omics", "domainList" : [ "regulated-industries", "biologics", "scientific-domains", "protein", "genomic", "molecular", "structural", "multi-omics" ], "domainSpecificKnowledge" : [ "Regulated industries", "Biologics", "Scientific domains", "Protein", "Genomic", "Molecular", "Structural", "Multi-omics" ], "continuousLearning" : "Ability to publish; Open source research", "innovationCreativity" : "Frontier research", "problemSolvingSkills" : "Failure recovery", "specialRequirements" : "Based in Switzerland", "outcomesObjectives" : "Build and deploy AI-native systems; Deliver productised AI; Compound value", "qualificationsBasic" : "World-class pre-training experience, Deep mastery of large-scale distributed training, Demonstrated experience in data acquisition, Publication or shipped-model track record, Biologics / scientific foundation model pre-training experience, Ability to code and stay hands-on, Willingness to be based in Switzerland", "qualificationsPreferred" : "Meta / FAIR, OpenAI, Google DeepMind, Anthropic, Mistral, or equivalent/academic experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale. We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain. We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core. **Role** As a VP of Research - Foundation Models (Distinguished Scientist / Research Lead), you will own: * Pre-training strategy and execution for biologics foundation models built from scratch across modalities (architecture, data, representation, scaling, evaluation). * Continued pre-training and adaptation of vertical LLMs for regulated industries. * The full training stack in practice: data pipelines, distributed training, scaling laws, evaluation harnesses, checkpointing, failure recovery. * Research direction, standards and review for a small founding team. * Translating frontier research into models that hold up in regulated, real-world use. You’ll be a hands-on Research Lead / Distinguished Scientist role - not a manager of managers - owning architectures, training runs, and technical direction alongside a founding team of elite researchers. Freedom to publish, established compute resources, and direct collaboration with founders, offering real ownership and zero bureaucracy from day one. **Requirements** To succeed in this role, you bring a combination of expertise, experience, and skills including: * World-class pre-training experience (Meta / FAIR, OpenAI, Google DeepMind, Anthropic, Mistral, or equivalent/academic). * Deep mastery of large-scale distributed training (parallelism strategies, scaling laws, optimization at scale, debugging instability). * Demonstrated experience in data acquisition and preparation at scale. * Strong publication or shipped-model track record. * Biologics / scientific foundation model pre-training experience across modalities (e.g. protein, genomic, molecular, structural, multi-omics, or other specialized scientific domains). * PhD in a relevant field. * Ability to code and stay hands-on in the details. * Willingness to be based in Switzerland (Lausanne or Zurich), on-site. **Benefits** By joining us as VP of Research, you'll benefit from * Defined, in-place compute to run real pre-training. * A founding research seat with genuine technical authority. * Direct partnership with top-20 pharma companies to bring world-leading models to life. * Direct line to the founding team and co-shaping the company strategy * Ability to publish and open source research * A competitive compensation package incl. Equity * A flexible working culture of freedom & responsibility * A position that enables you to have an impact on 1’000s of people and the future of the company * An international, passionate team of demonstrated extraordinary achievements with a strong collaborative mindset and a drive to make a positive difference", "summaryDescription" : "VP Research (Foundation Models) at Visium SA. Skills: Foundation Models, Pre-training, Distributed training. Own pre-training strategy and execution. Execute biologics foundation models", "postedDate" : "2026-06-11T00:00:00.000", "createdAt" : "2026-06-12T06:55:27.986", "lastUpdated" : "2026-06-14T23:37:59.367", "ingestTimestamp" : "2026-06-12T06:55:27.986", "mongoId" : "6a2b0e9a74d8ee00a0761dd4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/F19132C85F", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Large-scale distributed training", "Leadership", "Foundation Models", "Pre-training", "Distributed training", "Pre-training strategy", "Research direction", "Technical direction", "Regulated industries", "Biologics", "Scientific domains", "Protein", "Genomic", "Molecular", "Structural", "Multi-omics" ], "skillCount" : 16, "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "translate research and model requirements into clear enforceable data specs jobs", "metadata" : { "title" : "translate research and model requirements into clear enforceable data specs" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 39389, "totalPages" : 788, "hasNext" : true, "hasPrevious" : false } }

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