Data Scientist, Product Analytics

Data Scientist, Product Analytics
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Seattle, WA
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, WhatsApp, and Novi 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 Analytics 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
Minimum Qualifications
  • Master’s degree in Computer Science, Engineering, Information Systems Management, or a related field and 24 months of experience in the job offered or in a related occupation. Experience must include 24 months involving the following:
  • Machine learning techniques
  • ETL (Extract, Transform, Load) processes
  • Relational database (SQL or PL*SQL)
  • Developing in scripting language: PHP, Python, or Perl
  • Statistical analysis using R, MATLAB, SPSS, SAS, or Stata
  • Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
  • Quantitative analysis techniques: clustering, regression pattern recognition, or descriptive and inferential statistics
  • Communicating and presenting results of data analyses
Locations
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.
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.
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Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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