Senior Data Scientist (f/m/d)

• 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. You rigorously validate assumptions, identify root causes, and prioritize solving the right problem before building. • End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities. You ensure solutions are scalable, monitored, and maintained with thoughtful evaluation, deployment, and iteration strategies

At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions. Our culture is what makes that possible: we play to win, we obsess over quality, and we win as One Moss, and it works. Moss closed a €35 million Series C in August 2026, crossing a €1 billion valuation, and became one of Europe's fintech unicorns. Join us for what's next. 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). Your 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 Eng: bring your models live and iterate/improve until they are adopted by your stakeholders About you • 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. You rigorously validate assumptions, identify root causes, and prioritize solving the right problem before building. • End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities. You ensure solutions are scalable, monitored, and maintained with thoughtful evaluation, deployment, and iteration strategies About Moss Moss is the Finance AI platform for Europe's mid-sized businesses, giving companies real-time visibility and full control over their spend. By automating card issuing, invoice management and expenses, Moss simplifies financial workflows and frees finance and accounting teams from manual, administrative work. Founded in Berlin and used by more than 10,000 businesses including Flink, Schufa, n8n and Auto1, Moss has raised €220+ million to date and operates in Germany, the Netherlands, the UK and further EU markets. In August 2026, Moss closed a €35 million Series C led by Portage, crossing a €1 billion valuation and becoming one of Europe's newest fintech unicorns. Moss is backed by investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, A-Star. We're a team of 300+ people from 50+ nationalities across 5 offices in Europe and we hire, reward, and grow people based on Moss DNA: playing to win, obsessing over quality, winning as One Moss. If that's how you want to work, we want to hear from you. - here's what else to expect: • Top-of-market compensation package, including equity.  • Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos. • Additional benefits include: 20 days “work from abroad”, 600EUR/GBP Learning & Development Budget, and other local benefits. Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package). By applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Policy. Find Jobs in Germany on Arbeitnow EPD