Product Data Scientist — AI Evaluation & Quality (Remote)
Summary
The Product Data Scientist will own and extend AI evaluation pipelines, build online quality dashboards, and turn production feedback into actionable improvements, using Python, SQL, Databricks, DeepEval and Claude Code.
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
How we work — one thing we mean seriously
- AI-assisted coding is our default authoring environment, not a bonus
- Claude Code is our main tool — you'll reach for it for SQL, Python, analyses, dashboards, and internal scripts
- We're looking for analysts who are already curious and fluent with AI coding — or genuinely excited to become fluent fast
- We care about what you ship and how clearly you think
- If this idea excites you rather than worries you, you'll feel at home here
As published by lever · 6 questions · 2 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL
Short answers (2)
- How soon are you available to start a new role?
- What are your salary expectations per annum (EUR Gross)?
Pick from a list (1)
- Please select the level that most accurately describes your professional English communication skills (written and verbal) optional
Written answers (2)
- What is your current work authorization status for the country where you plan to be primarily based? Please specify the type of document/visa and its validity
- Share one concrete thing you've built with AI coding tools — a dashboard, a SQL refactor, an analysis notebook, a small internal tool optional
Attachments (1)
- Screenshot, link, or short writeup — whatever lets us see how you work with AI optional
