Senior Data Scientist

EGYM GmbH
Berlin, Germany
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Computer Programming Python (Programming Language) Machine Learning NoSQL Open Source Technology Recommender Systems Software Engineering SQL Databases
+5 more
Unstructured Data Large Language Models Prompt Engineering Backend Low Latency

Job description

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, * 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

Requirements

  • 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

Benefits & conditions

  • 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
  • Flex Budget : Use €60 per month flexibly for public transportation and a meal subsidy
  • 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

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