Senior Data Scientist

Vor 4 Tagen

Germany Munich Germany Berlin EGYM Vollzeit 60.000 € - 120.000 € pro Jahr


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
  • Experience: You bring 5+ years of experience delivering machine-learning-based solutions, ideally in personalization, recommender systems, or decision-support products
  • Programming & Data: 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
  • ML & LLMs: 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
  • Hybrid Approaches: You're comfortable combining classical ML and LLMs (e.g. for scoring, ranking, recommendation, or as components in larger decision systems)
  • Communication & Ownership: You explain complex topics clearly, work effectively with different stakeholders, and see problems through from definition to production launch


Your training goal for your first 6 months
  • Domain Knowledge: You become highly familiar with EGYM's health and training data
  • Cross-Functional Experience: You complete a rotation in a software development team and collaborate directly with engineers
  • Impact Contribution: You deliver visible product improvements and optimize your work using real usage feedback
  • Process Optimization: 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
  • Product Partnership: You act as a sparring partner for Product Management and help extend our product vision


The equipment we provide
  • Modern Culture: Be part of a modern and international company culture where talent and passion are welcomed, heard, and part of the decision-making process
  • Continuous Development: Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve
  • Work-Life-Balance: Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year
  • Fit & Healthy: 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
  • Mobility: Enjoy a monthly travel subsidy of 45€ for public transport
  • Mentoring Program: Exchange knowledge and grow together across teams and locations through our self-organized mentoring platform
  • Discounts: Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
  • Bike Leasing: Stay active and use our leasing bike offer on your way to work or in your spare time
  • Subsidized Pension: Profit from our employer-subsidized pension


Contact Information

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

Contact: Marina Lambrecht

For further information: 

About us

Become part of EGYM

EGYM is a global fitness technology leader, providing fitness and health facilities with intelligent workout solutions. EGYM makes exercising smarter and more efficient with its comprehensive suite of connected gym equipment and digital products that integrate seamlessly with 3rd-party-hard- and software. The result is a fully connected training experience that drives measurable business and health outcomes on and off the training floor.

EGYM also offers subscription-based corporate fitness- and wellness solutions built on a combination of gym-access and EGYM fitness programs that directly target costly chronic conditions and boost employee health, leading to higher productivity and well-being. 

EGYM's global headquarters are in Munich, Germany, with North American offices in Denver, Colorado.

EGYM is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs, regardless of race, gender, religion, sexual orientation, age or any other aspect of an individual's identity.

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