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Valtech

Senior Data Scientist

Valtech

Senior Data Scientist driving advanced analytics, causal reasoning, and AI-powered decision intelligence at Valtech. Building systems to influence business outcomes using predictive, causal, and generative AI.

Posted 6/9/2026full-timeRemote • 🇵🇱 PolandSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases
  • Build production-grade systems that combine predictive, causal, and generative AI capabilities
  • Turn complex data into actionable insights, automated decisions, and intelligent workflows
  • Design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI
  • Collaborate closely with data engineers, ML engineers, analysts, and platform teams

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
  • Strong problem-solving skills with focus on business impact
  • Ability to translate complex models into actionable decisions
  • Strong collaboration and communication skills across technical and business teams

Benefits

Comp & perks
  • 24 working days of paid vacation
  • National holidays covered
  • Sick leave (up to 20/year)
  • Unpaid leave (up to 20/year)
  • Medical insurance
  • Multisport card OR Multikafeteria
  • Maternity & paternity leave support
  • Internal workshops & learning initiatives
  • Professional certifications reimbursement
  • Participation in professional local & 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

ATS Keywords

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Hard Skills & Tools
machine learningstatisticsapplied data sciencecausal inferenceexperimentation methodologiesdecision science methodologiesforecasting techniquesoptimization techniquesanalytical modeling techniquesPython
Soft Skills
problem-solvingcollaborationcommunicationtranslating business problemstranslating complex models