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Data Scientist, Analytics

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Data Scientist, Analytics
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Menlo Park, CA
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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
  • Utilize advanced knowledge of statistics, data mining, business intelligence, Hadoop, Hive, SQL, Excel and MicroStrategy to drive efficient analytics and reporting.
  • Will analyze data and statistical results to identify actionable insights, suggest recommendations and influence the direction of Meta’s product decisions and product launches by effectively communicating results to cross functional groups, including Online Ops, Product, and Engineering teams.
  • Will leverage data to provide insights about user behavior and to inform business decisions.
  • These business recommendations will be based on data mining on large, complex data sets and applying concepts in number theory, computational theory, data structures and algorithms.
  • They will predict and understand user patterns through analytical and statistical metric analysis.
  • They will apply quantitative skills in predictive modeling, statistical analysis, A/B tests, regression models, and machine learning to gather data insights.
Minimum Qualifications
  • Requires a Master's degree in Computer Science, Engineering, Statistics, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
  • 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. Reporting using Hadoop, Hive, or MicroStrategy
  • 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • 5. Applied statistics or experimentation, such as A/B testing, 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, pattern recognition, or descriptive and inferential statistics
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
$209,720/year to $235,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, 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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