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Data Scientist (m/f/d) Full-time

de FlixMobility Lisboa em Lisboa (Publicado em 21-01-2021)

We're looking for a motivated and driven Data Scientist (m/f/d) to join our Marketing Intelligence & Automation team. In this role, you will closely work together with all our Marketing, Yield, Pricing, IT and Reporting teams to assure that system developments reflect Marketing Managers' needs and are optimized continuously with findings and ideas from Web economics science and your research.



Challenging the status quo and constant learning is part of our DNA at Flix. 2020 taught us that we can work effectively in distributed teams, so for the first time we are taking a more global recruiting approach. This role would sit in Lisbon and report to our Marketing team in Munich.



Your Tasks ? Paint the world green


  • You develop advanced models and analytics together with our revenue management teams to optimize our pricing strategies

  • You continuously enhance and steer the process of automated customer acquisition through data insights and data-driven decision making

  • You improve our current incrementality analysis developments and experiments, and make the best use of the knowledge gained

  • You keep an overview of our revenue management automation systems and implementation details and integrate our customer acquisition models to ensure best economic outcome for our customers and us

Your Profile ? Ready to hop on board


  • An advanced degree in applied math, physics, econometrics, statistics, or a related, quantitative science, preferably with postgraduate in operation research. A PhD would be considered a strong plus

  • Strong commercial experience and evidence of improving business performance, and the ability to interpret and communicate actionable findings to senior management

  • Having leadership mentality and being a team player, including the ability to provide vision, strategic thought, and motivation

  • A proven track record of applying complex mathematical, statistical and machine learning models to tackle practical business problems

  • Experience in implementing algorithms and data structures in Python, Scala, or other mainstream programming language

  • Experience with algorithm design and implementation as well as model optimization

  • Understanding of modern software development techniques is a must in combination with strong data access and management capabilities, knowledge of version control tools. You need to understand the importance of reproducibility and interpretability.

Our Perks ? More than just a job


  • Have an impact. With innovation and smart technology, we are changing the way people travel, and you too can have an impact on this ride.

  • Trust-based working. We don't punch the clock ? organize your own schedule. We trust in what you do!

  • Push boundaries. Everyone is equally important and works together on uncharted challenges alongside inspiring colleagues from all over the world.

  • Fun at work and beyond. Discover the world with your free FlixBus rides and join our regular team events ? there's always something to celebrate!

  • Feel at home. We provide you with a laptop, comfortable working space, free drinks, a casual dress code, diverse employee discounts and more.

Want to rewrite the history of mobility with us? Then join our ride and apply now. We're excited to hear from you!



About FlixMobility



We are a global mobility provider with headquarters in Europe and the United States. Since 2013, we have changed the way millions of people have traveled, offering new alternatives for convenient, affordable and eco-friendly travel. Thanks to a unique business model and innovative technology, we have quickly established one of the largest long-distance mobility networks in the world ? and our journey has just begun.



FlixMobility is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate on the basis of race, color, religion, gender (including pregnancy and gender identity), national, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, age, veteran status, or other legally protected characteristics. All employment decisions are based on business needs, job requirements, competence and merit.



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