Marketing Data Scientist
Core
Build automated reporting pipelines, dashboards, and datasets to enable data-driven decisions for Lifecycle Marketing campaigns and measure incrementality.
Role type
Marketing Data Scientist (Execution & Tooling)
Builds
Self-serve reporting tooling, automated data pipelines, and incrementality measurement frameworks for Lifecycle Marketing.
Domain
Financial Services / Marketing Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, data pipeline development, dashboard creation, data quality assurance, business logic implementation, incrementality measurement (holdouts/A/B tests), stakeholder collaboration
Preferred skills
AI-assisted self-serve analytics, modern data stacks (dbt, Airflow, Snowflake), CRM data familiarity
Technologies
SQL, Python, Tableau, dbt, Airflow, Snowflake
Responsibilities
Build and maintain automated reporting pipelines and dashboards for Lifecycle Marketing performance; Implement standardized logic and quality checks across communication channels; Develop self-serve reporting and AI-assisted analytics tooling; Resolve data discrepancies and pipeline issues; Partner with Engineering to productionize data products; Support incrementality measurement including experiment design and lift analysis; Document data definitions and business logic for shared source of truth.
Seniority
Mid-level, hands-on IC