Product Data Scientist

Role overview This role is centered on turning client data into concrete product decisions. The work spans the full analytics lifecycle, from end-to-end analysis through the pipelines that support it, plus ongoing ownership of the resulting data and product backlog.

Responsibilities - Conduct end-to-end analysis that translates client data into actionable product decisions - Build and maintain the data pipelines behind the analysis - Take ownership of the product backlog that emerges from data-driven findings - Partner with product and client-facing teams to ensure analyses map to real decision points

Requirements - Experience as a product or client-facing data scientist working end-to-end on analysis and pipelines - Ability to operate independently and own follow-up work generated by analytical findings

Nice to have - Background bridging client data, analytics engineering, and product management

Note: This description is intentionally brief because the source material provided only a short summary of the role; additional responsibilities, requirements, and benefits were not specified and have not been invented.