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Summary:

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. 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.

Required Skills:

Data Scientist, Analytics (Technical Leadership) Responsibilities:

1. Work with complex data sets to solve challenging problems using analytical and statistical approaches

2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies

3. Identify and measure success through goal setting, forecasting, and monitoring key metrics

4. Partner with cross-functional teams to inform and execute product strategy and investment decisions

5. Build long-term vision and strategy for programs and products

6. Collaborate with executives to define and develop data platforms and instrumentation

7. Effectively communicate insights and recommendations to stakeholders

8. Define success metrics, forecast changes, and set team goals

9. Support developing roadmaps and coordinate analytics efforts across teams

Minimum Qualifications:

Minimum Qualifications:

10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)

12. 8+ 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

13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance

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

15. Experience communicating complex technical topics in a clear, precise, and actionable manner

Preferred Qualifications:

Preferred Qualifications:

16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy

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

18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)

19. 10+ years of experience doing complex quantitative analysis in product analytics

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

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

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

Public Compensation:

$210,000/year to $281,000/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 accommodations-ext@meta.com.

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Data Scientist, Analytics (Technical Leadership)

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