Data Scientist, Product Analytics (PhD) jobs in United States
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Meta · 1 week ago

Data Scientist, Product Analytics (PhD)

Meta builds technologies that help people connect, find communities, and grow businesses. As a Data Scientist at Meta, you will work with large and complex data sets to solve challenging problems, influence product strategy, and collaborate with cross-functional teams to enhance product development.

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Comp. & Benefits

Responsibilities

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Qualification

Ph.D. in relevant fieldData querying languagesScripting languagesDistributed computing toolsLarge data sets experienceAnalytical mindsetProduct intuitionCommunication skills

Required

Currently has or in the process of obtaining Ph.D. in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical packages (e.g., R)
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
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

Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.)
Experience working with large data sets
Experience manipulating and analyzing high-volume, high-dimensionality data from varying source

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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