Data Scientist, Product

Data Scientist, Product
Location pin icon
Menlo Park, CA
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.
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
  • In connection with these duties, may apply knowledge of the following: Performing quantitative analysis including data mining on highly complex data sets
  • Data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or Matlab
  • Applied statistics or experimentation, such as A/B testing, in an industry setting
  • Communicating the results of analyses to product or leadership teams to influence strategy
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems
  • and Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.
Minimum Qualifications
  • Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Position also requires completion of a university-level course/research project/internship/thesis, or 6 months of experience in each of 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, or Matlab
  • 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
Locations
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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
Related Job Openings
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.