Senior Data Scientist — AI Evaluation & Quality (Remote)
Summary
Senior Data Scientist on Finom's AI team, owning the evaluation loop for all AI products: building offline eval datasets and LLM-as-judge metrics, online quality dashboards, and production feedback loops. Core stack: Python, SQL, statistics, 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
Skills
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