Data Scientist, Analytics

(New York, NY)

Facebook’s mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we’re building a different kind of company that helps billions of people around the world connect and share what matters most to them. Whether we’re creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to make the world more open and accessible. Connecting the world takes every one of us—and we’re just getting started.

We’re looking for data scientists to work on our core and business products (Instagram, Ads, Messaging, Identity, Growth & Engagement, Mobile, Search, Privacy, Payments) with a passion for Internet technology to help drive informed business decisions for Facebook. 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 have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product. This position is located in our New York City office.

Responsibilities

  • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • The Data Scientist Analytics role has 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 Qualifications

  • 5+ years of experience doing quantitative analysis.
  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees.
  • Experience in SQL or other programming languages.
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Ability to communicate the results of analyses.
  • Understanding of statistics (e.g., hypothesis testing, regressions).
  • Experience manipulating data sets through statistical software (ex. R, SAS) or other methods.

Preferred Qualifications

  • Experience with distributed computing (Hive/Hadoop)

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