The Role

This is a product focused data science position sitting within a dedicated Agentic AI team. The core responsibility is co-owning the development and direction of an internal Agentic AI framework: ensuring it scales to a growing list of use cases and delivers a strong developer experience for data scientists building on top of it. This is not a pure research role. It combines hands on engineering, product thinking, and close collaboration with AI Engineers to build something that other data scientists rely on daily.

What the Work Looks Like Day to Day

• 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

Technical Stack

• Cloud: Microsoft Azure, Google Cloud Platform, Kubernetes

• Languages: Python, Spark (preferred); SQL for analytical work

• Big data ecosystem: Databricks, BigQuery, Spark

• Dev tools: GitHub, Jira, Confluence (Agile DevOps environment)

• BI tools: PowerBI or Tableau (basic familiarity useful)

What Is Required

• 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

What Strengthens an Application

Prior experience building developer tooling, internal platforms, or frameworks for data science teams is a genuine differentiator here. This role sits at the intersection of engineering and product , and candidates who have thought about developer experience, not just model performance, will stand out.

Working Model and Location

This role is based in Warsaw, Poland, on a hybrid working arrangement. Regular on site presence in Warsaw is required. Full remote is not available for this position.