Product Data Scientist

Job Description

What You Will Be Doing

• Own and extend our offline eval suite across products — datasets (capability + regression), judges, metrics
• Build and maintain online quality dashboards: resolution rate, CSAT, thumbs up/down, LLM-as-judge signals, error rate, latency
• Close the production feedback loop: mine failure patterns from real traffic → turn them into regression cases → propose fixes to Product and domain experts
• Harden methodology: judge stability, non-determinism handling
• Translate numbers into decisions – weekly syncs, clear trade-offs, no dashboards for their own sake
  

Must-Haves

• Python and SQL — you can build an analysis end-to-end
• Solid foundation in statistics — sampling, hypothesis testing, variance, understanding what a noisy metric is
• Analytical mindset — you start from the business question, not from the tool
• 3+ years in analyst / data scientist roles, at least one in a product context
  

Nice-to-Haves

• Experience in quality analytics for ML systems — ranking, recommendations, classification, etc.
• Hands-on experience evaluating LLM applications (RAG, agents, tool use, judges)
• Experience building LLM agents — side projects, toy builds, personal experiments all count

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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