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WhyHireWrong?

Product Data Scientist

WhyHireWrong?

Product Data Scientist building and scaling an Agentic AI framework in a hybrid Warsaw role. Collaborating with global teams and applying AI techniques to solve business problems.

Posted 5/26/2026full-timeWarsaw • 🇵🇱 PolandJuniorMid-Level💰 PLN 22,000 - PLN 28,000 per monthWebsite

Tech Stack

Tools & technologies
PythonSpark

About the role

Key responsibilities & impact
  • Partner with product teams and business leaders to understand and define Agentic AI use cases
  • Collaborate with data scientists across global teams to gather feedback on the agent building experience and translate it into framework improvements
  • Shape and drive the evolution roadmap for the Agentic AI framework
  • Apply GenAI and Agentic AI techniques to solve real business problems
  • Build and maintain resilient, production grade algorithmic and agentic pipelines
  • Write clean, well structured code following engineering best practices
  • Deepen applied knowledge across machine learning, optimization, statistical modeling, and GenAI

Requirements

What you’ll need
  • Masters degree in a quantitative field (Statistics, Operations Research, Computer Science, Applied Mathematics, Systems Engineering, Economics) OR a Bachelors or Engineering degree with strong, consecutive data science experience
  • At least 2 years of delivering production grade data science or algorithmically enabled applications, with at least some of that experience involving GenAI based solutions
  • Solid Python skills; Spark experience is a plus
  • Experience with or genuine interest in building tools and frameworks used by other data scientists
  • Strong analytical thinking across optimization, simulation, predictive modeling, and experimentation
  • Comfortable taking ownership, navigating ambiguity, and working across distributed global teams

Benefits

Comp & perks
  • 28 days paid time off

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningoptimizationstatistical modelingGenAIPythonalgorithmic pipelinesdata sciencepredictive modelingsimulationexperimentation
Soft Skills
analytical thinkingownershipnavigating ambiguitycollaborationcommunication
Certifications
Masters degreeBachelors degreeEngineering degree