Product Data Scientist: Agentic AI

WhyHireWrong? • Capon Bridge, WV

17h • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level