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
  • Applying expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business
    products.
  • Mine massive amounts of data and perform large-scale data analysis to extract useful business insights.
  • Develop data pipelines with automated, machine-learning systems that
    convert noisy core datasets into powerful signals of user behavior.
  • Build models of user behaviors for analysis or to power production systems.
  • Partner with Product and Engineering teams
    to solve problems and identify trends and opportunities.
  • Design and implement dashboards and reports that track key business metrics and provide actionable insights.
  • Inform, influence,
    support, and execute our product decisions and product launches by effectively communicating results to cross functional groups.
  • Work across areas of product operations, exploratory
    analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta.
  • Telecommuting is permitted from anywhere in the United States.
Minimum Qualifications
  • Requires a Master's degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, or a related field. Requires 36 months of experience in the job offered or in a related occupation. Experience must include 36 months involving the following:
  • 1. Performing quantitative analysis including data mining on highly complex data sets
  • 2. Scripting language including Python
  • 3. Statistical or mathematical software including R, SAS, or Matlab
  • 4. Applied statistics or experimentation including A/B testing in an industry setting
  • 5. Machine learning techniques
  • 6. Quantitative analysis techniques: clustering, regression, pattern recognition, and 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. 185.392 $/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. Apply

Job Profile

Regions

North America

Countries

United States

Benefits/Perks

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

Skills

A/B Testing Clustering Computer Science Data analysis Data Infrastructure Data Mining Data Pipelines Design Engineering Inferential Statistics Machine Learning Matlab Pattern Recognition Python Quantitative analysis Quantitative Analysis Techniques R Recruiting Regression SAS Statistical software Web

Tasks
  • Building user behavior models
  • Collaborating with product and engineering teams
  • Communicating results
  • Data Analysis
  • Data mining
  • Designing dashboards
  • Developing data pipelines
  • Partner with product and engineering teams
Experience

36 months

Education

Analytics Business Computer Science Data Analysis Engineering Master's degree Master's Degree in Statistics Mathematics Physics Related Field Statistics

Restrictions

Telecommuting is permitted from anywhere in the United States Telecommuting permitted within the United States

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