Manager, Data Science
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The role
Lead the next generation of marketing data science with a strong AI foundation, scalable pipelines, and reusable modeling frameworks.
Drive end-to-end data science and AI projects from requirements through deployment and monitoring.
Set best practices for governance, data quality, reproducibility, and system reliability.
Advance marketing science with causal inference, uplift modeling, multi-touch attribution, and media mix modeling to optimize spend.
Develop forecasting and ROI models to guide budget allocation and long-term planning.
Mentor a high-performing team, partner cross-functionally with Marketing, Growth, Product, Engineering, and Finance, and explore frontier AI approaches for audience segmentation, creative optimization, and campaign efficiency.
Drive end-to-end data science and AI projects from requirements through deployment and monitoring.
Set best practices for governance, data quality, reproducibility, and system reliability.
Advance marketing science with causal inference, uplift modeling, multi-touch attribution, and media mix modeling to optimize spend.
Develop forecasting and ROI models to guide budget allocation and long-term planning.
Mentor a high-performing team, partner cross-functionally with Marketing, Growth, Product, Engineering, and Finance, and explore frontier AI approaches for audience segmentation, creative optimization, and campaign efficiency.
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