Data Science Director; IC)
Job in
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-10-18
Listing for:
Meta
Full Time
position Listed on 2026-10-18
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Sunnyvale, CA+3 locations
Analytics+ 4 more Apply nowWe are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes state-of-the-art Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta’s revenue.
The mission of this role is to drive data-informed decisions and shape the long-term strategic direction and operational model of the Monetization AI Ranking space in an IC capacity.
The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large-scale AI development, measurement, and data product management, and will be enthusiastic about cutting-edge AI advancements. They should have a proven ability to influence executives through their data, framing, technical, and communication skills.
---## Data Science Director (IC) Responsibilities
* Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space
* Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale
* Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact
* Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities
* Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers
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