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Data Scientist (m/f/x) Dynamic Pricing at FlixBus (München, Germany)

To support our ambitious growth, we are now looking for a Data Scientist (m/f/x) in Munich starting as soon as possible.


Your Tasks – Paint the world green



  • You will work in a cross-functional, product-focused team revolutionizing dynamic pricing and revenue management for large transportation networks

  • You will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cycles

  • You will 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 drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organization

  • You will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organization



Your Profile – Ready to hop on board



  • Proven and extensive track record of applying data science methods to business problems in an industry context, preferably in e-commerce

  • 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

  • Experience in projects involving large scale multidimensional databases, complex business infrastructure, and cross-functional teams

  • Solid programming experience in mainstream programming languages like Python, R, Scala, or Java

  • Hands-on experience applying machine learning techniques (especially feature engineering) using standard off the shelf packages

  • Good understanding of sourcing data using various data management solution (relational as well as non-relational databases)

  • Experience working with large data streaming technologies like Spark, Flink


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