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FlixBus is seeking a Senior Data Scientist to join the Commercial & Marketing Intelligence team, where you will own and evolve the company's causal measurement practice. In this role, you will design and execute experiments that directly inform global marketing budget allocation decisions, working closely with teams across Marketing & Sales, Revenue Management, Reporting, and Engineering.
Key responsibilities include:
- Designing, executing, and continuously improving geo-based, time-based, and synthetic control experiment frameworks across global markets and channels
- Applying econometric and causal inference techniques (difference-in-differences, synthetic control, Bayesian structural time series) to measure the incremental impact of marketing activities on bookings and revenue
- Building and managing a structured test-and-learn program across paid channels, prioritizing experiments by business value
- Contributing to the development and validation of attribution models (CLV-MTA and MMM) to reduce reliance on platform self-reported data
- Translating complex causal findings into actionable recommendations for marketing teams, finance, and senior leadership
- Establishing internal standards and documentation for how FlixBus measures marketing effectiveness across all channels
You will bring 5+ years of experience in data science or quantitative research, with hands-on expertise in designing causal experiments. A Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or related field is required. You must demonstrate strong command of causal inference methods and be proficient in Python, SQL, Power BI, and statistical modeling libraries (statsmodels, PyMC, CausalImpact). Experience with version control (Git), cloud/data warehouse environments (BigQuery, Snowflake), and the ability to present statistical findings to non-technical audiences are essential. Marketing measurement, media mix modeling, or Bayesian methods experience is a plus.
