Senior Marketing Data Scientist (m/f/d)
Core
Design and execute causal experiments to measure the true incremental effect of marketing activities on bookings and revenue, shaping global marketing budget allocation.
Role type
Senior IC data scientist (causal inference & marketing measurement)
Builds
Structured test-and-learn programmes, attribution models (CLV-MTA, MMM), and geo/time-based experiment frameworks
Domain
Travel technology + Marketing analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Causal inference methods (difference-in-differences, synthetic control, Bayesian structural time series), Python, SQL, statistical modelling (statsmodels, PyMC, CausalImpact), version control (Git), cloud/data warehouse (BigQuery, Snowflake)
Preferred skills
Marketing measurement, media mix modelling, growth reporting, Bayesian methods
Responsibilities
Design and run geo-based, time-based, and synthetic control experiments; Build and manage a test-and-learn programme; Contribute to attribution model development and validation; Translate causal findings into actionable recommendations for stakeholders; Review experiment designs and shape internal measurement standards
Seniority
Senior, hands-on IC
