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

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

Product Data Scientist

Key skills