Senior Data Scientist, Growth Marketing
Core
Senior Data Scientist serving as the primary quantitative partner to Growth Marketing leadership, transforming transactional and behavioral datasets into engines for user acquisition, retention, and gross profit expansion.
Role type
Senior IC data scientist (growth marketing)
Builds
Predictive models for Multi-Touch Attribution (MTA), Customer Lifetime Value (CLV), and Customer Acquisition Cost (CAC) efficiency; automated executive dashboards; scalable growth data pipelines
Domain
Growth marketing, performance media, adtech, real-world transactional data
Deliverable
production ML models
Required skills
Python, SQL, multi-touch attribution modeling, customer lifetime value (LTV) modeling, causal inference, A/B testing design and analysis, cohort retention modeling, statistical experimentation, business acumen
Preferred skills
Cloud platforms (AWS S3, SageMaker, Airflow), cloud data warehouses (Snowflake), modern data tools (dbt, Looker, Tableau), Media Mix Modeling (MMM) frameworks (Robyn, LightweightMMM), machine learning frameworks (scikit-learn, TensorFlow, Pytorch)
Technologies
Python, SQL, AWS, Snowflake, dbt, Looker, Tableau, Robyn, LightweightMMM, scikit-learn, TensorFlow, PyTorch
Responsibilities
Design and deploy predictive models for MTA, CLV, and CAC efficiency; conduct cohort analyses and retention modeling; lead growth experimentation roadmap (A/B tests, geo-experiments, holdout tests); partner with Growth Marketing and Finance to optimize unit economics; collaborate on event tracking requirements and data pipelines
Seniority
Senior, hands-on IC
