Senior Data Scientist (m/f/d)

eGym; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading wellness company is seeking a Senior Data Scientist to advance their product innovations by leveraging machine learning and data science. The role involves developing models to enhance personalized training plans, analyzing complex datasets, and collaborating closely with engineering teams. Ideal candidates should have over 5 years of experience and strong skills in Python, alongside a passion for pushing the boundaries of AI and machine learning. This position is based in Munich and offers a hybrid working model.

Leistungen

Flexible working hours

30 days of vacation

Monthly travel subsidy

Employee training and mentoring

Discounts through employee benefits

Qualifikationen

• 5+ years of experience in machine learning and AI.
• Proficient in Python for production-ready code.
• Experience with LLM-powered features and agents.

Aufgaben

• Develop machine learning models for personalized training plans.
• Analyze datasets and validate approaches.
• Design and maintain LLM-based components and agents.

Kenntnisse

Machine learning

Python programming

Data analysis

Collaboration

Communication

Tools

SQL

NoSQL

Jobbeschreibung

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