Careers at Facebook

Software Engineering

Data Scientist, Product Science

LugarMenlo Park, CA
Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.
Facebook is seeking a Data Scientist to join the Product Science group in our Core Data Science team. The Product Science group studies the interactions people have with each other and the world through Facebook in order to drive innovation on current and future products. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher, and have a passion for understanding social phenomena.

Responsibilities

  • Work closely with a product engineering team to identify and answer important product questions
  • Answer product questions by using appropriate statistical techniques on available data
  • Communicate findings to product managers and engineers
  • Drive the collection of new data and the refinement of existing data sources
  • Analyze and interpret the results of product experiments

Requirements

  • Ph.D. in a relevant field (computer science, sociology, information, statistics, physics or related fields), or 4+ years experience in a relevant role
  • Extensive experience solving analytical problems using quantitative approaches
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • A strong passion for empirical research and for answering hard questions with data
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Fluency with at least one scripting language such as Python or PHP
  • Familiarity with relational databases and SQL
  • Expert knowledge of an analysis tool such as R, Matlab, or SAS
  • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
EOE Minorities/Females/Protected Veterans/Individuals with a disability.
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