Job Directory Facebook Data Scientist, Analytics

Data Scientist, Analytics Facebook
New York, NY

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About Facebook

Job Description

We're looking for Data Scientists to work on our core and business products (ex. Instagram, Messaging, Growth, Engagement, Ads) 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. The perfect candidate will have a background in a quantitative or technical field, will have experience working with strong data sets, and will have some 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. This position is based full time in our Menlo Park, CA office.


* 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


* 2+ years experience doing quantitative analysis

BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field

Experience in SQL or other programming languages

Development experience in any scripting language (PHP, Python, Perl, etc.)

Ability to communicate the results of analyses with product and leadership teams to influence the strategy of the product

Understanding of statistics (e.g., hypothesis testing, regressions)

Experience manipulating data sets through statistical software (ex. R, SAS) or other methods


* Advanced degrees

Experience with distributed computing (Hive/Hadoop)

Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at

About Facebook

Facebook is a company providing an online social networking service.

10001 employees

1 hacker way

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