Senior Data Scientist (f/m/d)

Навыки

• B2B-продажи
• XGBoost / LightGBM / CatBoost
• Excel
• LLM
• Machine Learning
• Ответственность за результат
• Python

О компании и продукте

• 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:

Задачи

• 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

Требования

• 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
• 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

Паспорт вакансии

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