Senior Data Scientist – Marketing Measurement & Causal Inference (M/F/D)
- Countries
- Portugal
- Job Types
- software & tech, sales & business development
- Experience
- late
- Organization Types
- tourism & hospitality, transportation & mobility
- Location
- Lisbon
- Posted Date
- Company
- Flix
AI Summary
Job Description
As a Senior Data Scientist, you will own and evolve the causal measurement practice. This involves designing and running experiments to shape marketing budget allocation. You will collaborate with cross-functional teams to ensure data drives transparent choices at scale. Responsibilities include designing and executing experiment frameworks, applying causal inference techniques, and building test-and-learn programs.
Hard Requirements
- Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field
- 5+ years of experience in a data science or quantitative research role
- Hands-on expertise in designing and evaluating causal experiments (e.g., geo experiments, time-series holdouts, synthetic control studies)
- 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
- Experienced with statistical modelling libraries (e.g., statsmodels, PyMC, CausalImpact)
- Comfortable with version control (Git), reproducible workflows, and cloud/data warehouse environments (e.g., BigQuery, Snowflake)
- Proven ability to present statistical findings to non-technical audiences and contribute to strategic choices with data
Soft Requirements
- Experience in marketing measurement, media mix modelling, or growth reporting is a plus
- Familiarity with Bayesian methods