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Data Scientist, Analytics (PhD) 178 views

They’re looking for Data Scientists to join some of their Analytics teams, including those in charge of News Feed, Video, Search, Monetization and Ads, Sharing, and Product Foundation. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. The perfect candidate will be able to effortlessly apply the expertise gained throughout their Ph.D. to tackle Facebook Product Analytics challenges and will have experience working with large, complex data sets. You are focused on results, a self-starter, and have demonstrated success in understanding and solving complex problems using analytical techniques. This position is based full-time in their Menlo Park, CA, Seattle, WA, and New York, NY offices.

Responsibilities

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how their users interact with both their consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute their product decisions and product launches
  • Work across the following four areas:
  • Product Operations
    • Forecasting and setting product team goals
    • Designing and evaluating experiments
    • Monitoring key product metrics, understanding root causes of changes in metrics
    • Building and analyzing dashboards and reports
    • Building key data sets to empower operational and exploratory analysis
    • Evaluating and defining metrics
  • Exploratory Analysis
    • Proposing what to build in the next roadmap
    • Understanding ecosystems, user behaviors, and long-term trends
    • Identifying new levers to help move key metrics
    • Building models of user behaviors for analysis or to power production systems
  • Product Leadership
    • Influencing product teams through presentation of data-based recommendations
    • Communicating state of business, experiment results, etc. to product teams
    • Spreading best practices to analytics and product teams
  • Data Infrastructure
    • Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica
    • Automating analyses and authoring pipelines via SQL and Python-based ETL framework

Minimum Qualification

  • Currently has, or is in the process of obtaining, a Ph.D. degree in Computer Science, Electrical Engineering, Operations Research, Econometrics, Statistics or related technical field
  • Experience solving analytical problems using quantitative approaches
  • Experience communicating quantitative analysis results
  • Knowledge with relational databases and SQL
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Knowledge of statistics (e.g., hypothesis testing, regressions)
  • Experience manipulating data sets through statistical software (ex. R, SAS) or other methods
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualification

  • Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.)
  • Experience working with large data sets
  • Experience manipulating and analyzing high-volume, high-dimensionality data from varying sources

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. They do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. They also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in their recruiting process. If you need any assistance or accommodations due to a disability, please let them know at accommodations-ext@fb.com.

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