Data Scientist, Analytics

Data Scientist, Analytics
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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, 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. To apply, click “Apply to Job” online on this web page.
Data Scientist, Analytics 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.
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations (from Meta’s website) business acumen: good understanding of business logics and applying data science to solve business problems.
  • Work cross functionally and communicating data insights to drive business decisions.
Minimum Qualifications
  • Requires a Master's degree in Computer Science, Data 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, or thesis in the following
  • 1. Performing quantitative analysis including data mining on highly complex data sets
  • 2. Data querying language: SQL
  • 3. Scripting language: Python
  • 4. Statistical software: R
  • 5. Applied statistics in an industry setting
  • 6. Machine learning techniques
  • 7. ETL (Extract, Transform, Load) processes
  • 8. Relational databases
  • 9. Large-scale data processing infrastructures using distributed systems
  • 10. Quantitative analysis techniques, including one of the following: clustering, regression, and 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.
$175,457/year to $196,900/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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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 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.
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