[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Search jobs](/search/) Meta Platforms · Sunnyvale, CA +3 more # Data Science Director (IC) Sunnyvale, CA +3 more Director Data & Analytics Listed on Meta Platforms’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2467760910370910/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Data Science Director (IC) ## Job description We 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. ## 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 ## Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance Experience framing and communication skills - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) - Masters or Ph.D. Degree in a quantitative field Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Jul 17, 2026 - Last checked: Oct 18, 2026 - Listed for: 93 days - Location: Sunnyvale, CA +3 more[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/2467760910370910/) ## More jobs at Meta Platforms ### [Data Engineer, Technical Leadership (Ranking, AI)](https://jobs.opennash.com/companies/meta-platforms/jobs/7d816c0b9c007a24a846/) Sunnyvale, CA +3 more ### [Research Scientist, Machine Learning for Monetization (PhD)](https://jobs.opennash.com/companies/meta-platforms/jobs/aa53ddb91f43c120fe3a/) Sunnyvale, CA +3 more ### [Software Engineer (Technical Leadership)](https://jobs.opennash.com/companies/meta-platforms/jobs/6d6cb3eae66ed73f06e1/) Sunnyvale, CA +3 more ### [Software Engineer, AI Kernels & Performance Optimization — MTIA Software](https://jobs.opennash.com/companies/meta-platforms/jobs/c60ee1836e609d31e50a/) Sunnyvale, CA +3 more ### [Software Engineer, Systems ML](https://jobs.opennash.com/companies/meta-platforms/jobs/c121bbfd0bee0ae5231e/) Sunnyvale, CA +3 more ## Similar jobs at other companies ### [Data Science: PhD Internship Opportunities - Redmond](https://jobs.opennash.com/companies/microsoft/jobs/12f03404c2592d441a00/) Microsoft · United States, Washington, Redmond ### [Data Science Vice President - Wealth Management](https://jobs.opennash.com/companies/jpmorganchase/jobs/62e4bc252e15092d5626/) JPMorganChase · New York, NY, United States ### [Morgan Health - Data Science & Research - Senior Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/a946de16fba0c5581fc9/) JPMorganChase · New York, NY, United States ### [Principal Forward Deployed Engineer - Data Science](https://jobs.opennash.com/companies/microsoft/jobs/4f2ef56866802a069c0d/) Microsoft · United States, Multiple Locations ### [Associate Director, Clinical Science](https://jobs.opennash.com/companies/daiichi-sankyo/jobs/18a4c2f8d3e17c52fe6c/) Daiichi Sankyo · Basking Ridge, NJ, USA OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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