Senior Data Scientist - Media Data Science & Analytics
Core
Apply causal inference and advanced statistical techniques to estimate the true impact of media investments and evaluate marketing strategy effectiveness.
Role type
Senior IC data scientist (causal inference & media analytics)
Builds
Decision-oriented narratives and impact estimates for senior marketing and business stakeholders
Domain
Media, Marketing, Causal Inference
Deliverable
production ML models | dashboards & analysis
Required skills
causal inference, quasi-experimental methods, incrementality testing, observational analysis, advanced statistics, machine learning, data quality assessment, SQL, Python, technical communication
Preferred skills
interpretability-focused modeling, handling confounding and selection bias
Technologies
Python, SQL
Responsibilities
Design and apply causal inference approaches to estimate media investment impact; Evaluate marketing strategy effectiveness accounting for data limitations; Translate complex causal findings into clear narratives for stakeholders; Prepare, validate, and analyze complex marketing datasets; Identify data quality issues and structural changes affecting inference
Seniority
Senior, hands-on IC
