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Data Scientist, Product Analytics - VR Devices (FRL)

at Meta in Montpelier, Vermont, United States

Job Description

Intro:

Facebook’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we’re building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities – we’re just getting started.

Summary:

The VR Devices Data Science team’s mission is to develop world-class data science solutions to maximize growth of our virtual reality devices (e.g., Oculus Quest, accessories, emerging products, etc.). Our Data Scientists drive the product roadmap by measuring and optimizing key strategic decisions, including pricing recommendations, incentives, promo structures, new hardware and feature launches, demand estimation, and more. The team utilizes a range of advanced quantitative methods (e.g., econometrics, causal inference, experimentation, industrial organization, machine learning) and partners closely with Engineers, Product Leaders, Architects, Finance, and business functions.

Required Skills:

Responsibilities:

1. Drive our optimal pricing strategy and incentive, promo offerings, given complementarity, competition, cannibalization, user heterogeneity, unit economics, etc.

2. Measure the incremental value of various hardware, accessories, and product features, including some still in concept stage, and use this to inform future investments.

3. Quantify the key, long-term drivers of device growth and identify opportunities to bend the curve.

4. Develop novel methodologies to understand and estimate Oculus device demand.

5. Collaborate and communicate with key stakeholders (product, engineering, finance and business leadership) to deliver recommendations, identify insights, and guide new ideas.

6. Define problems and opportunities in a highly complex and ambiguous area, often for future products that are still in development.

7. Autonomous responsibility for a large scope of influence.

Minimum Qualifications:

Minimum Qualifications:

8. Experience with econometrics and statistical modeling.

9. Experience with causal inference and advanced experimentation methods, such as synthetic control.

10. Experience with querying/data wrangling in SQL and coding in Python or R.

11. Communication skills and experience building cross-functional partnerships.

12. Experience thinking creatively about ambiguous strategic problems, asking questions, and finding opportunities.

13. Experience translating quantitative findings into actionable insights and influence business decisions.

14. Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications:

Preferred Qualifications:

15. Experience with econometrics and statistical modeling.

16. Experience with causal inference and advanced experimentation methods, such as synthetic control.

17. Experience with querying/data wrangling in SQL and coding in Python or R.

18. Communication skills and experience building cross-functional partnerships.

19. Experience thinking creatively about ambiguous strategic problems, asking questions, and finding opportunities.

20. Experience translating quantitative findings into actionable insights and influence business decisions.

21. Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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.

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Job Posting: JC200934618

Posted On: Dec 31, 2021

Updated On: Feb 25, 2022