AI for Work (AI4W) is Meta's company-wide effort to integrate AI into every tool, team, and process at Meta. This role will be the founding senior IC on a new "AI4W Ecosystem" analytics team.We are seeking a Data Science Director (IC) who is passionate about developing, measuring, and strategizing investments of Meta's products. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Director, Data Science - AI for Work (AI4W) Ecosystem Responsibilities:

• Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for Meta.
• Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of our platforms 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.
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years of work experience 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
  
  

Preferred Qualifications:

• Masters or Ph.D. Degree in a quantitative field
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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
  
  

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].

$253,000/year to $314,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.