Product Data Scientist — AI Evaluation & Quality (Remote)

You'll join the AI Team — the group driving all AI products and technology at Finom We build and ship AI across the company: AI financial co-pilot, voice agent, and internal AI-powered processes Our belief: your AI agent is only as good as your eval loop — we can build AI as good as the evals we run on it Your mission: own that eval loop across every AI product we ship — pre-launch quality gates, post-launch monitoring, continuous improvement Close collaboration with AI engineers, Product, and domain experts across the company Core stack: Databricks, DeepEval, 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