Data Scientist, Product Analytics

Facebook

Full time

United States Remote

Oct 30

We’re looking for Data Scientists to work on our core and business products (ex. Instagram, Messenger, FB App, Ads, What's App, Integrity, etc.) to help shape the future of what we build at 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. You should have a background in a quantitative or technical field, experience working with large data sets, and experience in data-driven decision making. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

Data Scientist, Product Analytics 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

  • Bachelors/Masters/PhD
  • 4+ years of experience doing complex quantitative analysis and working with distributed (i.e. Hive, Hadoop or similar databases) or highly complex datasets
  • 4+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  • 4+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
  • 2+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualifications

  • Experience in a consumer technology company
  • 6+ years of experience in all the above minimums


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