Senior Data Scientist (f/m/d)

Analisi del mercato

Stack

Gratis, dopo l'accesso.

Candidati

Carica il tuo CV: datori di lavoro e recruiter di diversi paesi che cercano il tuo profilo potranno contattarti direttamente.

Descrizione

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:

Descrizione completa, azienda e link per candidarti: dopo l'accesso. Accedi

I contatti del datore di lavoro (email/telefono/telegram) sono nascosti nell'anteprima pubblica. Invia il tuo CV così i datori di lavoro possono contattarti direttamente.