Goal Setting and Measurement: Set rigorous data science goals and translate highly undefined, ambiguous problems into concrete, structured, and auditable data and measurement frameworks.
Data Productisation: Package complex data flows, causal inference models, and agentic workflows into sustainable, well-designed data products and reusable codebase assets that move beyond traditional dashboards..
Strategic Advising: Act as an expert advisor to Engineering and Product Management Directors, delivering fast-turnaround, data-driven perspectives that influence product roadmaps and strategic pivots.
System and Schema Design: Define and evaluate complex metrics (including conversational evaluation frameworks) while partnering with Data Engineering to co-design clean data schemas.
Technical Execution: Proactively jump into high-priority, high-friction data science challenges, establishing fast insights and balancing with high standards for experimental design, data modeling and storytelling.

Staff Product Data Scientist, Google Shopping

Job Description