Manager, Research Data Science

Manager, Research Data Science
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Menlo Park, CA
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. Instructions on how to apply, click “Apply to Job” online on this web page.
Manager, Research Data Science Responsibilities
  • Build a team with a passion for infrastructure and drive informed business decisions from data for Facebook
  • Recruit and develop teams of experienced data scientists
  • Apply expertise in quantitative analysis, data mining, machine learning, experimentation and the presentation of data to see beyond the numbers and understand how user behavior affects infrastructure systems
  • Partner with engineering teams to solve problems and identify trends and opportunities
  • Mine massive amounts of data and extract useful product insights
  • Manage development of data resources, gather requirements, organize sources, and support product launches
Minimum Qualifications
  • Employer will accept a Bachelor’s Degree in Computer Science, Engineering, Sciences, System Design Engineering, Mathematics, Statistics, Physics, or related field, and 24 months of work experience in the job offered or in a quantitative analysis-related occupation. Experience must include at least 6 months of experience in the following:
  • Machine learning techniques
  • Working with large data sets and network-based data (TCP or HTTP)
  • 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.