Product Data Scientist: Agentic AI

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 casesCollaborate with data scientists across global teams to gather feedback on the agent building experience and translate it into framework improvementsShape and drive the evolution roadmap for the Agentic AI frameworkApply GenAI and Agentic AI techniques to solve real business problemsBuild and maintain resilient, production grade algorithmic and agentic pipelinesWrite clean, well structured code following engineering best practicesDeepen applied knowledge across machine learning, optimization, statistical modeling, and GenAI Technical Stack Cloud: Microsoft Azure, Google Cloud Platform, KubernetesLanguages: Python, Spark (preferred); SQL for analytical workBig data ecosystem: Databricks, BigQuery, SparkDev 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 experienceAt least 2 years of delivering production grade data science or algorithmically enabled applications, with at least some of that experience involving GenAI based solutionsSolid Python skills; Spark experience is a plusExperience with or genuine interest in building tools and frameworks used by other data scientistsStrong analytical thinking across optimization, simulation, predictive modeling, and experimentationComfortable 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.