Senior Data Scientist (m / f / d)

Your daily workout

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.

• Model Development : You use EGYM’s diverse training and health data to build machine-learning models that support effective and healthy workouts
• Data Exploration : You analyze complex datasets, validate hypotheses, and develop new approaches for challenging problems
• LLM & Agent Design : 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
• LLM Evaluation : You set up robust evaluation pipelines for LLM features and agents (golden datasets, automatic metrics, human evals, regression checks, and safety / guardrail tests)
• Local & Open-Source Models : 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)
• Collaboration : You work closely with Software Engineering and Product Management while sharing feasibility insights and ongoing results
• Implementation : You develop solutions in a dynamic software environment aligned with the EGYM Tech Radar
• Innovation Monitoring : You track advancements in AI and machine learning to ensure our solutions remain state-of-the-art

Your fitness level

Your training goal for your first 6 months

The equipment we provide

Contact Information

Upload your documents  (CV, salary expectations and earliest possible start date) and specify the job ID #1807.

Contact : Lara Kaul

For further information :   https : / / career.egym.com