Data Scientist, Product (MPKDS3)

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, Product (MPKDS3) 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.

Minimum Qualifications

• Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work
  experience in the job offered or in a computer-related occupation.
  Requires two years of experience 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. 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.

LocationsAbout 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 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.