Data Scientist

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 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
  moderate scope where analysis of situations or data requires a review of a variety of factors.
• Exercise judgment within
  defined procedures and practices to determine appropriate action.

Minimum Qualifications

• Requires a Bachelor's degree (or foreign degree equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Economics, Engineering, Information Systems, 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. Scripting language: Python
• 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. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
• 10. Communicating and presenting results of data analyses.

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$223,856/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.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity 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.
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