Manager, Data Science (Marketing)
Core
Architect and lead the next generation of marketing data science and AI to empower Marketing, Growth, and Finance teams with high-confidence, ROI-positive investment decisions.
Role type
Manager, Data Science (Marketing)
Builds
Scalable pipelines, reusable modeling frameworks, robust experimentation platforms, and predictive models for budget allocation and forecasting.
Domain
Marketing, Growth, and Finance within the non-profit/community fundraising sector.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (NumPy, pandas, scikit-learn), SQL (window functions, optimization), causal inference, uplift modeling, multi-touch attribution, media mix modeling, forecasting, optimization, budget allocation, data platform management (Snowflake, Databricks), BI tools (Looker, Tableau), data storytelling, executive presentation, team mentorship.
Preferred skills
Experimentation and web/mobile analytics platforms (Optimizely, GrowthBook, Google Analytics, Amplitude), marketing API integration (Google, Meta, programmatic), generative AI/LLMs in marketing, multi-arm and contextual bandit algorithms, ML ops practices.
Responsibilities
Develop scalable pipelines and modeling frameworks; lead end-to-end data science and AI projects from requirements to monitoring; establish best practices in model governance and data quality; drive marketing science innovation using advanced methods; advance forecasting and ROI modeling; partner cross-functionally with Marketing, Growth, Product, Engineering, and Finance leaders; mentor and coach a team of data scientists.
Seniority
Manager, hands-on IC with leadership responsibilities
