Meta AR/VR Job | Data Scientist, Product Analytics – VR Devices (FRL)
Type（岗位类型）: Analytics | Artificial Intelligence, Data Science, Games, Hardware, Machine Learning
Citys（岗位城市）: Los Angeles, CA | Austin, TX | Seattle, WA | Burlingame, CA | Washington, DC | New York, NY | Chicago, IL | Remote, US
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.
Experience with econometrics and statistical modeling.
Experience with causal inference and advanced experimentation methods, such as synthetic control.
Experience with querying/data wrangling in SQL and coding in Python or R.
Communication skills and experience building cross-functional partnerships.
Experience thinking creatively about ambiguous strategic problems, asking questions, and finding opportunities.
Experience translating quantitative findings into actionable insights and influence business decisions.
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Drive our optimal pricing strategy and incentive, promo offerings, given complementarity, competition, cannibalization, user heterogeneity, unit economics, etc.
Measure the incremental value of various hardware, accessories, and product features, including some still in concept stage, and use this to inform future investments.
Quantify the key, long-term drivers of device growth and identify opportunities to bend the curve.
Develop novel methodologies to understand and estimate Oculus device demand.
Collaborate and communicate with key stakeholders (product, engineering, finance and business leadership) to deliver recommendations, identify insights, and guide new ideas.
Define problems and opportunities in a highly complex and ambiguous area, often for future products that are still in development.
Autonomous responsibility for a large scope of influence.
PhD in Economics.
Experience in consumer electronics.
Machine learning experience.