FlixBus Company Profile

Principal Data Scientist (M/F/X) at FlixBus (München, Germany)

About the Employer

Job Description

To support our ambitious growth, we are now looking for a Principal Data Scientist (M/F/X) to join our team in Munich, Germany starting as soon as possible.

Your Tasks – Paint the world green

  • You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNA
  • You work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data science
  • You will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organization
  • You collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science community
  • You evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organization
  • You consult and mentor data scientists, data engineers and data analysts to drive excellence in value generation

Your Profile – Ready to hop on board

  • Proven track record of at least 4 years of applying data science methods to business problems in an industry context, preferably in e-commerce
  • Lateral team leadership, mentoring and cross-team project management skills
  • Extensive and deep experience with designing, developing, validating, and deploying advanced data products and delivering actionable insights from data analysis
  • Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in production
  • PhD or MsC in Computer Science, Computational and Applied Statistics, Operations Research, Machine Learning or Mathematics or a comparable field
  • Experience in projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams