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Finom

Product Data Scientist – AI Evaluation, Quality

Finom

Product Data Scientist focused on AI Evaluation & Quality at Finom, developing AI products and technologies for the evolving financial landscape.

Posted 7/3/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python and SQL for end-to-end analysis, with a solid foundation in statistics and a strong analytical mindset. Proven experience in evaluating LLM applications and building LLM agents, with a focus on translating data into actionable insights.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyStatistical AnalysisLLM Application EvaluationAnalytical Mindset

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingSQL ProficiencyStatistical AnalysisSamplingHypothesis TestingVariance AnalysisLLM Application EvaluationData AnalysisRegression AnalysisError Rate Analysis
Soft Skills
CuriosityAnalytical ThinkingClear CommunicationDecision-Making
Tools & Technologies
AI-Assisted CodingQuality DashboardsData Visualization Tools
Industry Keywords
Data ScienceProduct ContextFeedback LoopNon-Determinism HandlingMetrics Evaluation

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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
  • Hands-on experience evaluating LLM applications (RAG, agents, tool use, judges)
  • Experience building LLM agents – side projects, toy builds, personal experiments all count
  • AI-assisted coding is our default authoring environment
  • Curious and fluent with AI coding, or genuinely excited to become fluent fast
  • Care about what you ship and how clearly you think

Benefits

Comp & perks
  • Make a genuine impact on the product
  • Join our upward trajectory and grow with us
  • Work in the EU
  • Enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe
  • Become a stock options holder
  • Unlock your inner entrepreneur through our Stock Options Program
  • Receive unwavering support and care
  • Constant support and care to ensure your experience is successful and fulfilling
  • Immerse yourself in our exclusive Work & Swim Program
  • Spend one month in a comfortable corporate apartment in enchanting Cyprus
  • Ideal opportunity for work-life balance while enjoying Mediterranean views
  • Equal Opportunity Employer valuing diversity