Job Title: Data Scientist, Product Analytics - Retail Analytics
Company: Meta
Location: New York, NY
Description:
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.

Data Scientist, Product Analytics - Retail Analytics Responsibilities:


Help build the long term vision and strategy for 1P retail program
Collaborate with executives to define and develop data platforms, instrumentation, and experimentation
Work independently to plan, lead, and implement (if needed) complex and timely analyses
Effectively communicate insights and recommendations to cross-functional partners and executives
Partner with product and engineering teams to identify the most impactful opportunities to improve and create experiences that optimize business outcomes
Define success metrics, forecast metric changes, and set team/organization goals
Support developing Product/ GTM roadmaps and coordinate analytics efforts across teams


Minimum Qualifications:


Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
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+ years of experience doing complex quantitative analysis in product analytics
10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
Experience leading complex analytics projects across multiple functions and stakeholders
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience


Preferred Qualifications:


Experience communicating complex technical topics in a clear, precise, and actionable manner
Background in Direct to Consumer Retail store analytics ( Digital and B&M )


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 accommodations-ext@fb.com.

$206,000/year to $281,000/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.
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