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Data Scientist, Product
Data Scientist, Product-March 2024
Menlo Park
Mar 19, 2025
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
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About Data Scientist, Product

  Summary:

  Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi 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. Instructions on how to apply, click “Apply to Job” online on this web page.

  Required Skills:

  Data Scientist, Product Responsibilities:

  Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products

  Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products

  Partner with Product and Engineering teams to solve problems and identify trends and opportunities

  Inform, influence, support, and execute our product decisions and product launches

  May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure

  Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors

  Demonstrate good judgment in selecting methods and techniques for obtaining solutions

  Design and evaluate controlled experiments for ranking content to test the hypotheses generated through analysis of users’ behavioral data

  Identify anomalies in key metrics (e.g., prevalence of certain types of content) if/when they occur, and investigate potential drivers to determine the root cause(s), and implications, making recommendations accordingly (e.g., bug fixes, mitigations)

  Minimum Qualifications:

  Minimum Qualifications:

  Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Business Analytics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:

  Performing quantitative analysis including data mining on highly complex data sets

  Data querying language: SQL

  Scripting language: Python

  Statistical or mathematical software including one of the following: R, SAS, Matlab, or Python

  Applied statistics or experimentation, such as A/B testing, in an industry setting

  Machine learning techniques

  ETL (Extract, Transform, Load) processes

  Relational databases

  Large-scale data processing infrastructures using distributed systems

  Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

  Public Compensation:

  $171,691/year to $191,000/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].

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