Senior Data Scientist (f/m/d)

Moss; Berlin; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading fintech scale-up in Berlin is seeking a Senior/Lead ML Contributor to own end-to-end machine learning initiatives. Candidates should have over 5 years of experience in applied ML, strong Python skills, and ideally experience with LLM applications. The role includes responsibilities in deploying and enhancing ML models that directly impact product workflows, offering top compensation and additional benefits such as work-from-abroad days and a learning budget.

Leistungen

Top-of-market compensation package, including equity

20 days work from abroad

600EUR/GBP Learning & Development Budget

Qualifikationen

• 5-10+ years in applied ML with production ownership of shipping models/systems.
• Strategic problem solver with a focus on data-driven outcomes.
• End-to-end project execution from ideation to production.

Aufgaben

• Own ML models for classification, ranking, anomaly detection, and recommendations.
• Define evaluation and monitoring strategies.
• Productionise models in collaboration with Engineering.

Kenntnisse

Fluent in classical ML

Hands-on LLM app/agent experience

Strong Python programming

Knowledge of scikit-learn

Knowledge of XGBoost/LightGBM

Knowledge of PyTorch/TF

Jobbeschreibung

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 and LinkedIn's Top Startups, 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’s fluent in classical ML and, as a big plus, has hands-on LLM app/agent experience. You’ll own end-to-end ML initiatives - from problem framing and modelling to evaluation, deployment, and iteration - directly improving core product workflows (invoice understanding, approval matching, reconciliation, anomaly detection, and user-assist).

Your responsibilities

• Own ML models for classification, ranking, 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.
• Big Plus: 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 a SaaS scale-up founded in Berlin, with a team of 300+ people from 50+ nationalities in 5 offices across Europe.

Our ambition is bold: to power every SMB’s spend across Europe - fully digital, AI-driven, and seamlessly integrated for complete control. To date, over 5000 businesses in Germany, Netherlands and the UK use Moss’ leading spend management product, with modules such as corporate cards, accounts payables, employee cash reimbursements and procurement.

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

Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We’re a place where you can fast track your career - 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).

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