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Senior Data Scientist

vor 2 Monaten


Munich, Bayern, Deutschland EGYM GmbH Vollzeit
About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at EGYM GmbH. As a key member of our Data Science team, you will be responsible for developing and implementing machine learning models that drive business growth and improve customer outcomes.

Key Responsibilities
  • Design and develop advanced machine learning models to analyze and interpret large datasets related to health and fitness
  • Collaborate with cross-functional teams, including engineering, product management, and agile coaching, to drive project delivery and ensure alignment with business objectives
  • Develop and maintain a deep understanding of EGYM's data universe, including data sources, formats, and quality
  • Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to drive innovation and improvement in our solutions
  • Communicate complex technical concepts to both technical and non-technical stakeholders, and provide regular updates on project progress and results
Requirements
  • 5+ years of professional experience in delivering machine learning-based solutions, with a strong focus on data science and engineering
  • Excellent programming skills in Python, with experience working with other languages such as Java, Go, or R
  • Ability to integrate multiple data sources and formats, including SQL, NoSQL, and unstructured data
  • Strong understanding of data science and machine learning methods, including model development, deployment, and maintenance
  • Excellent communication and collaboration skills, with the ability to work effectively in a complex and evolving software environment
What We Offer
  • A dynamic and supportive work environment, with opportunities for growth and professional development
  • A competitive salary and benefits package, including flexible working hours and a hybrid workplace model
  • The opportunity to work on challenging and high-impact projects, with a focus on driving business growth and improving customer outcomes
  • A collaborative and international team, with a strong focus on innovation and continuous learning