Location
New York, NY | United States
Job description
We are looking for a Data Science Director who is passionate about analytics for large scale ML systems to help drive data-informed decisions for the Monetization Infrastructure team and help shape the long term strategic direction of the development of this system.The Data Science director will partner with Engineering and Product leads across Meta Ads, and AI infrastructure to guide the strategic direction for one of the largest-scale ML infrastructure systems in the world, developing new ML infrastructure capabilities, improving the efficiency of the systems and adopting the ads data systems to meet privacy requirements.The ideal candidate has experience with large-scale systems and data product background. The Monetization infrastructure team builds and operates one of the largest monetization infrastructure systems in the world. The team is at the heart of the Meta ads system, driving Meta’s advertising quality and revenue and the DS director role is central to ads business work and ads revenue.
Director, Data Science - Monetization Infrastructure Responsibilities:
- Partner with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads Infrastructure systems.
- Apply statistical and analytical expertise to drive informed decisions about growing and improving Ads monetization infrastructure system
- Develop understanding of complex and large scale Infrastructure systems, as well as broader industry challenges, to identify present and future risks and opportunities.
- Contribute to long-term technical vision and strategy that will improve the quality and efficiency of Ads Infrastructure at scale.
- Inspire, lead and grow a team of data scientists and managers across multiple teams..
Minimum Qualifications:
- Bachelors/Masters in a quantitative discipline (e.g., AI, statistics, operations research, econometrics, computer science, engineering) with 10+ years (or PhD with 8+ years).
- 6+ years of work experience managing analytics teams, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development.
- 5+ years of people management experience.
- Demonstrated experience in hiring, retaining and scaling diverse, geographically dispersed, high-performing teams.
- Intellectual curiosity and drive, decisiveness, experience with ambiguity and complexity.
- Experience working effectively with multiple stakeholders and cross-functionally.
- Effective communication skills.
Preferred Qualifications:
- Experience working on large scale AI infrastructure and operationalization.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
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