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Facebook Data Science Director Monetization Ranking AI United States, California 430352140
10.06.2024
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You will partner with Engineering and Product teams that build and grow our hardware and software products for the future of Meta, to guide the strategic direction for one of the largest-scale ML development systems in the world. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations. The ideal candidate has experience with large-scale AI development and measurement and data product background, and is excited about cutting edge AI development.
Data Science Director, Monetization Ranking AI Responsibilities
- Partner with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI Development systems.
- Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of Ads AI development Infrastructure at scale, in the face of changing data availability.
- Work with engineering and other data scientists to build and improve AI development, AI automation, experimentation and measurement methods and metrics, ensuring high-quality throughput and impact.
- Develop understanding of complex and large scale AI development, experimentation and measurement system, as well as broader industry challenges, to identify present and future risks and opportunities.
- 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).
- 10+ 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.
- Demonstrated experience in hiring, retaining and scaling diverse, geographically dispersed, high-performing teams.
- Intellectual curiosity and drive, decisiveness, with ambiguity and complexity.
- Experience to work effectively with multiple stakeholders and cross-functionally.
Preferred Qualifications
- Experience working on large scale AI platforms and/or AI development
Data Center
About Meta
$314,000/year to $361,000/year + bonus + equity + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about at Meta.
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