Principal Data Scientist
Core
Technical leader responsible for the full lifecycle of models and data science systems that predict and optimize advertising performance across channels.
Role type
Principal Data Scientist (Advertising Optimization)
Builds
Predictive models and optimization systems for paid social, search, display, and video channels
Domain
Digital Advertising / Marketing Analytics
Deliverable
production ML models
Required skills
Python, SQL, statistics, machine learning, experimental design, causal inference, model evaluation, feature engineering, data quality assessment
Preferred skills
LLMs/embeddings, budget optimization, bidding systems, recommendation systems, cold-start modeling
Technologies
Python, SQL, Meta/Google/TikTok/LinkedIn APIs
Responsibilities
Define learning targets and construct training labels for advertising performance; develop cross-channel measurement and optimization systems; design and analyze experiments and causal inference approaches; translate model outputs into marketable customer decisions; advance modeling and validation best practices; partner cross-functionally to move models from research to customer validation
