Senior Data Scientist (f/m/d)

Das ist der Job

At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions.

Darum lohnt es sich

Our team and culture make us unique — we’re driven by impact and growth, where every one of us strives to learn and excel. 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.

About Moss Moss is a SaaS scale‑up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe. Additional benefits include: 20 days “work from abroad”, €600/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). Recognized by Sifted’s Rising 100 and LinkedIn's Top Startups, we’re here to help propel your career and together, make Moss a lasting success.

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.

Productionise 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. Moss has raised a total of €180 million in funding and is backed by renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures and A‑Star.

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.

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