Data Science Director (IC)

Meta; Bellevue (WA); On-site; USD 253,000 - 314,000; Full time

Job summary

Meta is seeking a Data Science Director IC to lead investments in the Monetization AI Ranking space from Bellevue, WA. You will influence engineering and product executives, shape the technical vision, and drive data-informed decisions that scale across Ads and monetization teams.

You will mentor data scientists and managers, guide analytics strategy, and ensure rigorous measurement, experimentation, and responsible AI practices. A track record of influencing executives through data is essential.

Qualifications

• 10+ years analytics and data science leadership in IC role.
• Strong framing and communication skills.
• Experience integrating AI tools to optimize workflows.
• Advanced degree in a quantitative field (MS/PhD).
• Experience with predictive modeling, ML, experimentation/causal inference.

Responsibilities

• Collaborate with cross-functional teams to inform and influence strategy and investment decisions for Ads AI.
• Contribute to long-term analytics strategy and metrics for Ads AI at scale.
• Help build AI development, automation, experiments, and measurement methods.
• Understand large-scale AI systems to identify risks and opportunities.
• Inspire and lead data scientists and managers across teams.

Skills

Analytics leadership

Cross-functional collaboration

Data storytelling

Executive communication

Education

Masters or PhD in quantitative field

Tools

AI tools integration

Job description

Summary:

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.

Required Skills:

Data Science Director (IC) Responsibilities:

1. Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space

2. 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

3. 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

4. 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

5. 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:

Minimum Qualifications:

1. 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

2. Experience framing and communication skills

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

2. Masters or Ph.D. Degree in a quantitative field

3. Experience with predictive modeling, machine learning, and experimentation/causal inference methods

4. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

5. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

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

Industry: Internet

Equal Opportunity:

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 [e-mail].