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Senior Data Scientist; mfd

in 80331, München, Bayern, Deutschland
Unternehmen: EGYM
Vollzeit position
Verfasst am 2026-01-26
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Maschinelles Lernen, Datenwissenschaftler, Künstliche Intelligenz Ingenieur
Stellenbeschreibung
Stellenbezeichnung: Senior Data Scientist (mfd)

Overview

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  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.

Responsibilities
  • Model Development:
    You use EGYMs 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 and 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
Qualifications
  • 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 No

    SQL 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
First 6 months goals
  • Domain Knowledge:
    You become highly familiar with EGYMs 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
Benefits
  • 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…
Stellen-Anforderungen
10+ Jahre Berufserfahrung
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