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. Apply now as a Senior Data Scientist (m/f/d) and be part of our Data Science team in Munich.

• You use EGYM's extensive training and health data to develop models that help people stay healthy and train effectively
• You help drive projects through data exploration, pragmatic experimentation, and the development of new solutions to challenging problems
• You set up feasibility checkpoints, communicate ongoing results, and collaborate closely with our engineers, product managers and agile coaches to guide our path to delivery
• You work effectively in a complex and evolving software environment (EGYM Tech Radar)
• You track the most important advances in AI and machine learning, ensuring that our solutions are state-of-the-art

Your fitness level

• You have 5+ years of professional experience in delivering machine-learning-based solutions
• You are comfortable developing in Python and can preferably work with code in other languages (such as Java, Go, or R)
• You are able to integrate many different kinds of data into the solution (SQL, No SQL, unstructured, etc.)
• You have extensive practical and theoretical knowledge in data science and machine learning methods
• You have excellent communication skills and an ability to explain complex, abstract concepts in simple, concrete terms
• You are comfortable solving problems end-to-end in a hands-on manner, recognizing that collaboration outside your areas of expertise is often necessary
• You are able to strike a balance between acting independently and delegating where possible

Your training goal for your first 6 months

• You have become an expert in the data we collect on people’s health and fitness and know your way around in the EGYM data universe
• You have completed a rotation in a software development team at EGYM and are comfortable working side-by-side with our engineers
• You have made visible contributions to our product line, are receiving live feedback data from their usage and are able to assess and fine-tune your work based on real world insights from this usage
• You have advanced our processes for ongoing model development and deployment
• You are a regular sparring partner for our product managers, helping expand our vision of future product ideas

The equipment we provide

• Be part of a modern company culture where talent and passion is welcome, and you are heard and part of the decision making process
• Benefit from flexible working hours, a hybrid workplace model and 30 days of vacation per year
• Develop your skills with varied, challenging tasks, regular feedback and a continuous learning environment
• Be part of a motivated, ambitious and international team that uses English as its working language
• Train for free with EGYM Wellpass in any of thousands of sports and health facilities across Germany in addition to our convenient in-house gym
• Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
• Stay active and use our leasing bike offer for your way to work or in your spare time
• Profit from our employer-subsidized pension

Contact Information

Upload your documents (CV, salary expectations and earliest possible start date) and specify the job ID #1361.

Contact: Marina Lambrecht

For further information: https://career.egym.com

About us

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.