Senior Data Scientist
Moss
Seniority
Senior
Model
Hybrid
Sector
Salary
Undisclosed
Contract
Full-Time
We're expanding our Data & AI team and looking for a senior/lead contributor who has hands-on LLM app/agent experience and is fluent in classical ML. You'll own end-to-end LLM/ML initiatives - from problem framing and modeling to evaluation, deployment, and iteration - directly improving core product workflows (invoice understanding, approval matching, reconciliation, anomaly detection, and user-assist).
What you'll do
- Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations.
- Define evaluation & monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking.
- Productionize with Platform/Data Eng: bring your models live and iterate/improve until they are adopted by your stakeholders.
What you'll need
- 5-10+ years in applied ML with production ownership of shipping models/systems.
- Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production.
- Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills.
- Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes.
- End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities.
What they offer
- Top-of-market compensation package, including equity.
- 20 days "work from abroad".
- 600 EUR/GBP Learning & Development Budget.
- Local benefits and vibrant offices with weekly breakfasts and Friday demos.

