Senior Data Scientist (f/m/d)
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At a glance
Job overview
Moss is hiring a Senior Data Scientist (f/m/d). Moss is expanding its Data & AI team, seeking a senior/lead contributor with hands-on LLM application/agent experience and fluency in classical machine learning. This role involves owning end-to-end LLM/ML initiatives, from problem framing and modeling to evaluation, deployment, and iteration, directly improving core product workflows such as invoice understanding, approval matching, reconciliation, anomaly detection, and user assistance.
Key focus areas include 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, and Productionize with Platform/Data Eng: bring your models live and iterate/improve until they are adopted by your stakeholders.
Successful candidates bring 5-10+ Years Applied Machine Learning Experience and Hands‑On LLM App/Agent Experience. Important skills include LLM App/Agent Experience, Classical ML, Problem Framing, Modeling, Evaluation, and Deployment.
Skills & qualifications
Skills
Qualifications
Full job description
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
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Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations.
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Define evaluation & monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking.
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Productionize with Platform/Data Eng: bring your models live and iterate/improve until they are adopted by your stakeholders
About you
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5-10+ years in applied ML with production ownership of shipping models/systems.
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Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production.
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Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills.
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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.
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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 https://www.getmoss.com/corporate-credit-card, accounts payables https://www.getmoss.com/accounts-payable, employee cash reimbursements https://www.getmoss.com/reimbursements and procurement https://www.getmoss.com/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:
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Top-of-market compensation package, including equity.
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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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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 https://www.getmoss.com/privacy-policy.
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