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Summary:

We are seeking a highly skilled Data Scientist (experienced Individual contributor) to join our Reality Labs GTM team. As a key member of the team, you will play a crucial role in developing our 0 to 1 strategy for creating world-class shopping experiences in our first party branded stores (1P). You will work closely with executives to define and develop data platforms, instrumentation, experimentation, and insight synthesis to drive growth in 1P stores.

Required Skills:

Data Scientist, Product Analytics - Retail Analytics Responsibilities:

1. Help build the long term vision and strategy for 1P retail program

2. Collaborate with executives to define and develop data platforms, instrumentation, and experimentation

3. Work independently to plan, lead, and implement (if needed) complex and timely analyses

4. Effectively communicate insights and recommendations to cross-functional partners and executives

5. Partner with product and engineering teams to identify the most impactful opportunities to improve and create experiences that optimize business outcomes

6. Define success metrics, forecast metric changes, and set team/organization goals

7. Support developing Product/ GTM roadmaps and coordinate analytics efforts across teams

Minimum Qualifications:

Minimum Qualifications:

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

9. 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)

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

11. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy

12. Experience leading complex analytics projects across multiple functions and stakeholders

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

Preferred Qualifications:

Preferred Qualifications:

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

15. Background in Direct to Consumer Retail store analytics ( Digital and B&M )

Public Compensation:

$206,000/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 [email protected].