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Senior Data Scientist (f/m/d)

Data Engineer • Remote • Vollzeit • 📍 Berlin

Moss's Data & AI team is hiring a Senior Data Scientist to own end-to-end LLM/ML initiatives, from problem framing to deployment, improving core finance workflows like invoice understanding, reconciliation, and anomaly detection.

Responsibilities

  • 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 Engineering and iterate until models are adopted by stakeholders

Requirements

  • 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

Soft skills

Strategic problem solver: deep understanding of business context, rigorous validation of assumptionsEnd-to-end executor: independently owns projects from ideation to productionBalances model performance with engineering realities

What we offer

  • Top-of-market compensation package, including equity
  • Vibrant offices with weekly breakfasts and Friday demos
  • 20 days 'work from abroad'
  • 600 EUR/GBP Learning & Development budget
  • Additional local benefits

About the company

Moss is a SaaS scale-up founded in Berlin, with 300+ people from 50+ nationalities across 5 European offices. It aims to power every SMB's spend across Europe with a fully digital, AI-driven product used by over 5,000 businesses in Germany, the Netherlands, and the UK, and has raised €180 million in funding.

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