Data Scientist at Freeletics – Munich, Germany

  • Full Time
  • Germany, Munich
  • Posted 1 month ago
  • April 20, 2019


Unleash your potential

At Freeletics, we are building the most intelligent personalised fitness coach on the market. As a Data Scientist you design experiments, test hypotheses and build machine learning algorithms to support the continuous development efforts within the analytics and data science team. You hold advanced analytical skills and think in hypotheses? You like to work with large data sets and want to shape the future of coaching AI? Apply now!
Your responsibilities
  • Implement Machine Learning pipelines for supervised and unsupervised problems.
  • Write clean, modular code to build Machine Learning algorithms for decision-making systems.
  • Work with domain experts to translate real-world requirements into algorithms.
  • Study, design and report on controllable metrics.
  • Provide ongoing tracking and monitoring of performance on decision systems and statistical models.
  • Collaborate with team experts to select and compile the relevant sources of information.
  • Accumulate testing results and visualise them in a presentable, professional and actionable manner.

Your profile

  • Master’s degree in (applied) mathematics, statistics, computer science or related field.
  • 3+ years of machine learning experience on applied problems.
  • Experience with general-purpose programming language – preferably Python and databases – preferably PostgreSQL.
  • Proven experience in designing experiments and hypothesis testing from an algorithmic point of view.
  • Experience manipulating large datasets and using databases.
  • Experience in relevant quantitative and qualitative research and analytics.
  • You can explain the significance of data in a way that can be easily understood by others.
  • Experience in the fitness industry would be considered a plus.
  • Exceptional quantitative problem-solving skills.
  • Team player who enjoys working in a collaborative, dynamic environment.
  • Fluent in English with excellent oral and written communication skills