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 n 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.
About the Role
- Own the design, execution, and continuous improvement of geo-based, time-based, and synthetic control experiment frameworks, ensuring methodological rigour and scalability across global markets and channels
- Apply econometric and causal inference techniques — including difference-in-differences, synthetic control, and Bayesian structural time series — to measure the true incremental effect of marketing activities on bookings and revenue
- Build and manage a structured test-and-learn programme across paid channels, identifying measurement gaps and prioritising experiments by expected business value
- Contribute to the development and validation of attribution models (CLV-MTA and MMM), providing reliable benchmarks that reduce reliance on platform self-reported data
- Translate complex causal findings into clear, actionable recommendations for a wide range of stakeholders including marketing teams, finance, and senior management
- Review experiment designs, create thorough documentation, and help shape internal standards for how Flix measures marketing effectiveness across all channels
About You
- Holds a Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field
- Brings 5+ years of experience in a data science or quantitative research role, with hands-on expertise in designing and evaluating causal experiments such as geo experiments, time-series holdouts, or synthetic control studies
- Demonstrate strong command of causal inference methods including difference-in-differences, synthetic control, Bayesian structural time series, or matched market testing
- Proficient in Python,SQL, Power BI and experienced with statistical modelling libraries such as statsmodels, PyMC, CausalImpact, or equivalent tools
- Comfortable with version control (Git), reproducible workflows, and cloud or data warehouse environments such as BigQuery or Snowflake
- Proven ability to present statistical findings to non-technical audiences and contribute to strategic choices with data
- Experience in marketing measurement, media mix modelling, or growth reporting is a plus — as is familiarity with Bayesian methods
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!
What We Offer
- Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends & family.
- Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
- Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
- Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
- Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
- Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.
To view more local benefits specific to each office location, please check out this link: Locations - Flix Career
Why Join Flix?
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!
Skills Required
- Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or related quantitative field
- 5+ years experience in data science or quantitative research with hands-on causal experiment design and evaluation (geo experiments, time-series holdouts, synthetic control)
- Strong command of causal inference methods, e.g., difference-in-differences, synthetic control, Bayesian structural time series, matched market testing
- Proficient in Python, SQL, Power BI and experienced with statistical libraries such as statsmodels, PyMC, CausalImpact, or equivalents
- Experience with version control (Git), reproducible workflows, and cloud/data warehouse environments such as BigQuery or Snowflake
- Ability to present statistical findings to non-technical audiences and influence strategic decisions
- Experience in marketing measurement, media mix modelling, or growth reporting; familiarity with Bayesian methods
What We Do
Flix is a global travel tech leader providing sustainable and affordable travel options to more than 60 million yearly travelers in 43 countries through its brands FlixBus, FlixTrain, Greyhound, and Kamil Koç. By combining network planning, marketing, and pricing, Flix uses innovative solutions to enable comfortable, sustainable, and affordable travel worldwide. Through our tech platform and user-friendly app, Flix creates a travel experience tailored to passengers' needs and connects travelers with local business partners providing transportation, ensuring a modern fleet that adheres to the highest safety standards. This asset-light business model has turned a European start-up into a leading and globally expanding travel-tech champion. Flix is pioneering and testing alternative drives with a long-term strategy to progressively decarbonize its fleet. Together with our partners and customers, we are driving transformative change towards the future of mobility, gradually reshaping the mobility sector and enabling more sustainable travel modes. Check out https://flix.careers/ to see how you can join our team. For our legal imprint click here: https://global.flixbus.com/legal-notice







