Facebook Data Scientist - eDiscovery in Menlo Park, California
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. 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 empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
The perfect candidate will have a background in a quantitative or technical field, a perfectionist mentality, and will have excellent communication skills. You are focused on accuracy, a self-starter, and have demonstrated success in using analytics to drive understanding and to influence business decisions. This position is based full-time in our Menlo Park, CA office.
Pull ad hoc data from products across our entire company (Search, messages, Instagram, ads etc.) for use in legal matters
Automate analyses and author pipelines via SQL and Python based ETL framework
Build dashboards to bring your pipelines to life for non-technical partners
Stay up to date on new structured data sources within the Company as they are developed and help non-technical partners understand the use and content of these sources
Create and maintain internal documentation on pipelines, tools, data sets
This is a highly collaborative and cross-functional role:
Partner with lawyers across the Legal department to understand their data needs
Partner with economic consultants to develop product and financial models
Partner with data science teams to ensure accuracy of analyses
Partner with infrastructure and data engineers to manage large data sets effectively
1+ years experience doing quantitative analysis
SQL, Excel, and data analysis experience
Python scripting experience
Experience with distributed computing (Hive/Hadoop)
Experience with Unix/Linux
Experience initiating and driving projects to completion with minimal guidance
Experience working cross-functionally and communicating technical content to audiences
PHP scripting experience
Experience working with non-technical partners
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at +1 650-308-7837.