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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases within our AI portfolio
- Build production-grade systems that combine predictive, causal, and generative AI capabilities
- Design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making pipelines
- Collaborate closely with data engineers, ML engineers, analysts, and platform teams
- Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
- Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
- Build reusable modeling frameworks that can scale across multiple domains
- Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
- Translate observational and experimental data into actionable business insights
- Embed causal reasoning into decision systems that guide actions
Requirements
What you’ll need- Strong experience in machine learning, statistics, and applied data science
- Experience with causal inference, experimentation, or decision science methodologies
- Solid understanding of forecasting, optimization, or analytical modeling techniques
- Strong programming skills in Python and SQL
- Experience building and deploying production-ready data science or ML systems
- Familiarity with model lifecycle management (training, deployment, monitoring)
- Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
- Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
- Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
- Ability to translate business problems into analytical frameworks
Benefits
Comp & perks- Medical insurance
- Sports reimbursement budget
- Home office support
- A number of free psychological and legal consultations
- Maternity and paternity leave support
- Internal workshops and learning initiatives
- English language classes compensation
- Professional certifications reimbursement
- Participation in professional local and global communities
- Growth Framework to manage expectations and define the steps to move towards the selected career
- Mentoring program with the ability to become a mentor or a mentee to grow to a higher position
- Valtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
machine learningstatisticsapplied data sciencecausal inferenceforecastingoptimizationanalytical modelingPythonSQLpredictive modeling
Soft Skills
collaborationproblem-solvingcommunicationanalytical thinkingdecision-making