Senior Data Scientist (m/f/d)
Core
Own and evolve causal measurement practice to design and run experiments that shape global marketing budget allocation and drive smarter choices at scale.
Role type
Senior IC data scientist (causal inference & marketing measurement)
Builds
Production causal inference frameworks, test-and-learn programs, and attribution models for marketing effectiveness
Domain
Travel industry + causal inference / econometrics
Deliverable
production ML models
Required skills
causal inference methods (difference-in-differences, synthetic control, Bayesian structural time series), experimental design, statistical modelling, Python, SQL, data visualization, reproducible workflows, cloud data warehousing
Preferred skills
marketing measurement, media mix modelling, growth reporting, Bayesian methods
Technologies
Python, SQL, Power BI, statsmodels, PyMC, CausalImpact, BigQuery, Snowflake, Git
Responsibilities
Design and execute geo-based, time-based, and synthetic control experiments; validate attribution models (CLV-MTA and MMM); translate complex causal findings into actionable recommendations for stakeholders; review experiment designs and shape internal measurement standards
Seniority
Senior, hands-on IC
