Data Scientist, Analytics

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
  • Apply your 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.
  • Building 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.
Minimum Qualifications
  • Requires a Bachelor's degree in Mathematics, Economics, Management Information Systems, Data Analytics, or a related field and 2 years of experience in the job offered or related occupation. Foreign equivalent accepted.
  • Experience must include 24 months of experience in each of the following:
  • 1. Performing quantitative analysis including data mining on highly complex data sets
  • 2. Data querying languages including SQL
  • 3. Scripting languages including Python
  • 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab
  • 5. Relational databases and
  • 6. 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. $185,329/year to $196,900/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 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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Tags: Clustering Data analysis Data Analytics Data Mining Data pipelines Economics Engineering Mathematics Matlab Physics Pipelines Python R RDBMS SAS SQL Statistics VR

Perks/benefits: Career development Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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