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Flix is seeking a Senior Data Scientist to own and evolve causal measurement practices across global marketing. You will design experiments, apply econometric techniques, and shape how we allocate the marketing budget at scale.
You’ll collaborate with Marketing, Revenue Management, Reporting, and Engineering to deliver rigorous incrementality evidence and actionable recommendations for senior leadership. Strong background in causal inference, time series, and Bayesian methods is essential, with
At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable.
As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an impact by owning and evolving our causal measurement practice — designing and running experiments that directly shape how we allocate our global marketing budget. You will work closely with a dedicated team across Marketing & Sales, Revenue Management, Reporting, and Engineering to ensure our incrementality evidence drives smarter, more transparent choices at scale.
We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!
At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
As we continue to expand across the globe, you can make a real difference in how we work.
If you’re ready to grow and lead your journey, Flix is the place for you!
At Flix, we are committed to fostering diversity and inclusion. To support this initiative, we invite all applicants to complete our demographic questions on voluntary basis. Your responses will be processed as anonymized data and not linked to your profile, and thus assessed for statistical purposes and internal research.
If you prefer not to provide this information, simply click on "I do not wish to answer." Be assured that neither the decision not to participate nor your answers will have an impact on your application, and your answers will remain anonymous and unidentifiable to you individually. The decision on your application will be made independently from your participation and the information you provide.