Senior Data Scientist (m/f/d)

<h3>Your daily workout</h3> <strong>Put your data science and machine learning talent behind a good cause and help make the world a healthier place by developing the next generation of product innovations at EGYM. You will take a leading individual-contributor role on EGYM Genius – the engine that powers personalized training plans for our users – combining LLMs, classical machine learning, and agentic systems from idea all the way to production. Apply now as a Senior Data Scientist (m/f/d) and be part of our Data Science team in Munich or Berlin.</strong><br/><br/><ul><li><strong>Model Development</strong>: You use EGYM’s diverse training and health data to build machine-learning models that support effective and healthy workouts</li><li><strong>Data Exploration</strong>: You analyze complex datasets, validate hypotheses, and develop new approaches for challenging problems</li><li><strong>LLM &amp; Agent Design</strong>: You design and maintain LLM-based components and agents that reason over user context, call tools/APIs, and orchestrate multi-step flows to generate, adapt, and explain training plans</li><li><strong>LLM Evaluation</strong>: You set up robust evaluation pipelines for LLM features and agents (golden datasets, automatic metrics, human evals, regression checks, and safety/guardrail tests)</li><li><strong>Local &amp; Open-Source Models</strong>: You are comfortable going beyond “just an API” - you can work with local/open-source models (running them on our infrastructure, adapting or fine-tuning them, and balancing quality, latency, and cost)</li><li><strong>Collaboration</strong>: You work closely with Software Engineering and Product Management while sharing feasibility insights and ongoing results</li><li><strong>Implementation</strong>: You develop solutions in a dynamic software environment aligned with the <a href="https://tech-radar.co.ts.egym.com/" rel="noreferrer noopener" target="_blank">EGYM Tech Radar</a></li><li><strong>Innovation Monitoring</strong>: You track advancements in AI and machine learning to ensure our solutions remain state-of-the-art</li></ul> <h3>Your fitness level</h3> <ul><li><strong>Experience</strong>: You bring 5+ years of experience delivering machine-learning-based solutions, ideally in personalization, recommender systems, or decision-support products</li><li><strong>Programming &amp; Data</strong>: You write production-ready Python and work confidently with structured and unstructured data across SQL and NoSQL databases; you’re comfortable collaborating with backend engineers working in Java</li><li><strong>ML &amp; LLMs</strong>: You have strong ML fundamentals and hands-on experience building and evaluating LLM-powered features or agents (prompt design, retrieval, tool use, multi-step flows, defining quality criteria, building test sets, running automated and human evaluations, and doing error analysis). You’re also familiar with adapting local/open-source models and understand trade-offs in size, serving, performance, and cost</li><li><strong>Hybrid Approaches</strong>: You’re comfortable combining classical ML and LLMs (e.g. for scoring, ranking, recommendation, or as components in larger decision systems)</li><li><strong>Communication &amp; Ownership</strong>: You explain complex topics clearly, work effectively with different stakeholders, and see problems through from definition to production launch</li></ul> <h3>Your training goal for your first 6 months</h3> <ul><li><strong>Domain Knowledge</strong>: You become highly familiar with EGYM’s health and training data</li><li><strong>Cross-Functional Experience</strong>: You complete a rotation in a software development team and collaborate directly with engineers</li><li><strong>Impact Contribution</strong>: You deliver visible product improvements and optimize your work using real usage feedback</li><li><strong>Process Optimization</strong>: You help us to standardize how we build and ship models and LLM agents – defining reusable evaluation suites, automating training and deployment steps, and setting up monitoring for quality, drift, and safety</li><li><strong>Product Partnership</strong>: You act as a sparring partner for Product Management and help extend our product vision</li></ul> <h3>The equipment we provide</h3> <ul><li><strong>Modern Culture</strong>: Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making process</li><li><strong>Continuous Development</strong>: Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve</li><li><strong>Work-Life-Balance</strong>: Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year</li><li><strong>Fit &amp; Healthy</strong>: Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or use our in-house gym with EGYM products</li><li><s