Senior Data Scientist (m/f/d)

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{
  "id": "2443080",
  "name": "Senior Data Scientist (m/f/d)",
  "office": "Germany, Munich",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2025-11-28T10:08:03+00:00",
  "seniority": "experienced",
  "department": "Business Intelligence",
  "occupation": "general_and_other_it_software",
  "subcompany": "EGYM SE",
  "employmentType": "permanent",
  "jobDescriptions": [
    {
      "name": "Your daily workout",
      "value": "<strong><span style=\"font-size:15px;\">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.</span></strong><span style=\"font-size:15px;\"><br><br></span><ul><li style=\"font-size:15px;\"><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 style=\"font-size:15px;\"><strong>Data Exploration</strong>: You analyze complex datasets, validate hypotheses, and develop new approaches for challenging problems</li><li style=\"font-size:15px;\"><strong>LLM & 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 style=\"font-size:15px;\"><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 style=\"font-size:15px;\"><strong>Local & 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 style=\"font-size:15px;\"><strong>Collaboration</strong>: You work closely with Software Engineering and Product Management while sharing feasibility insights and ongoing results</li><li style=\"font-size:15px;\"><strong>Implementation</strong>: You develop solutions in a dynamic software environment aligned with the <a target=\"_blank\" href=\"https://tech-radar.co.ts.egym.com/\" rel=\"noreferrer noopener\">EGYM Tech Radar</a></li><li style=\"font-size:15px;\"><strong>Innovation Monitoring</strong>: You track advancements in AI and machine learning to ensure our solutions remain state-of-the-art</li></ul>"
    },
    {
      "name": "Your fitness level",
      "value": "<ul><li style=\"font-size:15px;\"><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 style=\"font-size:15px;\"><strong>Programming & 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 style=\"font-size:15px;\"><strong>ML & 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 style=\"font-size:15px;\"><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 style=\"font-size:15px;\"><strong>Communication & Ownership</strong>: You explain complex topics clearly, work effectively with different stakeholders, and see problems through from definition to production launch</li></ul>"
    },
    {
      "name": "Your training goal for your first 6 months",
      "value": "<ul><li style=\"font-size:15px;\"><strong>Domain Knowledge</strong>: You become highly familiar with EGYM’s health and training data</li><li style=\"font-size:15px;\"><strong>Cross-Functional Experience</strong>: You complete a rotation in a software development team and collaborate directly with engineers</li><li style=\"font-size:15px;\"><strong>Impact Contribution</strong>: You deliver visible product improvements and optimize your work using real usage feedback</li><li style=\"font-size:15px;\"><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 style=\"font-size:15px;\"><strong>Product Partnership</strong>: You act as a sparring partner for Product Management and help extend our product vision</li></ul>"
    },
    {
      "name": "The equipment we provide",
      "value": "<ul><li style=\"font-size:15px;\"><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 style=\"font-size:15px;\"><strong>Continuous Development</strong>: Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve</li><li style=\"font-size:15px;\"><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 style=\"font-size:15px;\"><strong>Fit & 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 style=\"font-size:15px;\"><span style=\"font-family:'Helvetica Neue', sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;text-decoration:none;\">Flex Budget</span><span style=\"font-family:'Helvetica Neue', sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;\">: Use €60 per month flexibly for public transportation and a meal subsidy</span></li><li style=\"font-size:15px;\"><strong>Mentoring Program</strong>: Exchange knowledge and grow together across teams and locations through our self-organized mentoring platform</li><li style=\"font-size:15px;\"><strong>Discounts</strong>: Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal</li><li style=\"font-size:15px;\"><strong>Bike Leasing</strong>: Stay active and use our leasing bike offer on your way to work or in your spare time</li><li style=\"font-size:15px;\"><strong>Subsidized Pension</strong>: Profit from our employer-subsidized pension</li></ul>"
    },
    {
      "name": "Contact Information",
      "value": "<strong><span style=\"font-size:15px;\">Apply now with your documents</span></strong><span style=\"font-size:15px;\"> (CV, salary expectations and earliest possible start date) <strong>and specify the job ID #1807. <br><br>Contact: Lara Kaul<br><br>For further information: </strong></span><a href=\"https://career.egym.com\"><strong><span style=\"font-size:15px;\">https://career.egym.com</span></strong></a>"
    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Business Intelligence & Data Science"
}