FreshRemote.Work

Data Scientist

Menlo Park, CA | Remote, US

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
  • Devise methods for identifying data patterns and trends.
  • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of company products.
  • Identify data patterns.
  • Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with both consumer and business products.
  • Partner with Product and Engineering Teams to solve problems and identify trends and opportunities.
  • Inform, influence, support, and execute 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.
  • Telecommuting is permitted from any location in the U.S.
Minimum Qualifications
  • Master's degree (or foreign equivalent) in Computer Science, Engineering, Analytics, Mathematics, Business, Business Administration, or a related field and 12 months of work experience in the job offered or in a related occupation. Requires 12 months of experience in the following:
  • Performing quantitative analysis including data mining on highly complex data sets
  • SQL
  • 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
  • ETL (Extract, Transform, Load) processes
  • Relational databases
  • Large-scale data processing infrastructures using distributed systems and
  • 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. $255,047/year to $279,400/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. Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Telecommuting is permitted from any location in the U.S.

Benefits/Perks

Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs

Tasks
  • Apply quantitative analysis
  • Collect and interpret statistical data
  • Collect, organize, interpret, and summarize statistical data
  • Data mining
  • Devise data patterns and trends
  • Identify data patterns
  • Identify trends and opportunities
  • Inform and execute product decisions
  • Inform, influence, support, and execute product decisions
  • Partner with product and engineering teams
  • Quantitative analysis
  • Work on problems of moderate scope
  • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors
Skills

A/B Testing Business administration Clustering Computer Science Databases Data Infrastructure Data Mining Data processing Data processing infrastructures Design Distributed Systems Engineering ETL Inferential Statistics Matlab Pattern Recognition Python Quantitative analysis Quantitative Analysis Techniques R Recruiting Regression Relational databases SAS SQL Statistical software Statistics Web

Experience

12 months

Education

Analytics Business Business Administration Computer Science Design Engineering Master Master's degree Master’s Degree in Computer Science Mathematics Physics Related Field Statistics Technology

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9