Senior Data Scientist (f/m/d)

At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions. Our team and culture make us unique — we’re driven by impact and growth, where every one of us strives to learn and excel. Recognised by Sifted’s Rising 100 https://sifted.eu/rankings/b2b-saas-rising-100-2024 and LinkedIn's Top Startups https://www.linkedin.com/pulse/linkedin-top-startups-2024-20-aufstrebende-unternehmen-bjd0c/, we’re here to help propel your career and together, make Moss a lasting success. 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 mod