Valtech
SeniorDataScientist
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“Senior Data Scientist at Valtech. Skills: Data Science, Machine Learning, GenAI, Causal Inference. Develop machine learning models. Deploy machine learning models”
What You'll Achieve.
Influence business outcomes; Automated decisions; Intelligent workflows; Real-time decision-making pipelines; Near-real-time decision-making pipelines
Industry & Context.
Problem-solving; Analytical modeling; Causal reasoning; Decision intelligence
What They're Looking For.
Must Have
experience in machine learning, experience in statistics, experience in applied data science, experience with causal inference, experience with experimentation, experience with decision science, Solid understanding of forecasting, Solid understanding of optimization, Solid understanding of analytical modeling, programming skills in Python, programming skills in SQL, Experience building production-ready ML systems, Experience deploying production-ready ML systems, Familiarity with model lifecycle management, Hands-on experience with Azure, Hands-on experience with AWS, Hands-on experience with GCP, Experience with Azure ML, Experience with Azure AI, Experience with Databricks, Experience with complex datasets, Experience with multi-source datasets, Ability to translate business problems, problem-solving skills, focus on business impact, Ability to translate complex models, collaboration skills, communication skills
Nice to Have
Deep experience in marketing analytics, Deep experience in attribution, Deep experience in campaign measurement, Uplift modeling experience, Geo experiments experience, Synthetic control experience, Marketing Mix Modeling experience, Experience with GenAI frameworks, Experience with LangChain, Experience with LangGraph, Experience with RAG architectures, Experience with agent frameworks, Familiarity with Spark, Familiarity with Airflow, Familiarity with dbt, Experience with Snowflake, Experience with Fabric, Experience with BigQuery, Exposure to advanced time-series methods, Exposure to probabilistic forecasting, Experience in Agile environments, Experience in product-led environments, Experience in consulting environments
What You'll Do.
Develop machine learning models
Deploy machine learning models
Apply statistical modeling techniques
Apply predictive modeling techniques
Apply prescriptive modeling techniques
Build reusable modeling frameworks
Design causal inference methods
Implement causal inference methods
Translate observational data
Translate experimental data
Embed causal reasoning
Integrate GenAI capabilities
Contribute to intelligent agents
Contribute to AI-assisted decision-making
Combine structured data models
Combine unstructured data
Combine GenAI outputs
Build forecasting models
Develop optimization approaches
Ensure models are explainable
Ensure models are actionable
Build production-grade data science solutions
Maintain production-grade data science solutions
Integrate models into APIs
Integrate models into platforms
Ensure robustness of deployed models
Ensure monitoring of deployed models
Ensure lifecycle management of deployed models
Partner with data engineering
Partner with analytics teams
Partner with product teams
Review modeling approaches
Validate modeling approaches
Contribute to AI best practices
Contribute to ML best practices
Contribute to data science best practices
How You'll Work.
Team & Collaboration
Cross-functional AI architecture; Shared modeling standards; Data engineering teams; ML engineers; Analysts; Platform teams; Data engineering; Analytics; Product teams
Communication Scope
Technical communication; Business communication
Process & Methodology
Agile, Product-led, Consulting
Full Job Description
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care and dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration The role We are looking for an experienced Senior Data Scientist to drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases within our AI portfolio. This role goes beyond traditional modeling and focuses on building production-grade systems that combine predictive, causal, and generative AI capabilities to directly influence business outcomes. You will work at the intersection of data science, machine learning, and GenAI, turning complex data into actionable insights, automated decisions, and intelligent workflows across domains such as marketing, operations, forecasting, and optimization. This is not a purely retrospective analytics role. You will design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making pipelines. You will collaborate closely with data engineers, ML engineers, analysts, and platform teams, contributing to shared modeling standards and cross-functional AI architecture. Role responsibilities Advanced Analytics & Machine Learning Develop and deploy machine learning models across use cases (forecasting, optimiz
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