Core Data Science, PhD Intern/Co-op (2019)

Facebook | Menlo Park, CA

Posted Date 12/19/2018
Description Facebook is seeking a Data Science Intern to join our Data Science team. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher. The ideal candidate will have a keen interest in the study of an online social network, and a passion for identifying and answering questions that help us build the best products.


  • 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

  • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams


  • Minimum: Pursuing Ph.D. in CS or related technical field

  • Must be returning to school for at least one semester/quarter post internship

  • 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

  • A flexible analytic approach that allows for results at varying levels of precision

  • 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.)

  • Ability to obtain work authorization in the United States in 2018

Job Category
Design, UX | Developer, Engineer | Internships | Data, Analytics

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