Facebook Data Scientist, Building 8 in Menlo Park, California
Building 8 brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Facebook's mission of connecting the world. The B8 team will apply DARPA-style breakthrough development at the intersection of ambitious science and product development. It will operate on aggressive, fixed timelines, with extensive use of partnerships in universities, small and large businesses. The Product Launch Team has the responsibility for taking breakthroughs and delivering them to market at scale.
Building 8 seeks a Data Scientist to support analysis and insights on consumer behavior by way of analyzing key e-commerce performance metrics and competitive trending. We are looking for a slightly impatient individual willing to face down their fear of failure to accomplish bold things. This is a full-time position based in our Menlo Park office.
Analyze e-commerce key performance metrics and competitive trending
Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior
Design and development of website, sales, and operational health reports/dashboards
Automate analyses and build analytics data pipelines via SQL and python based ETL framework
Perform ad-hoc and in-depth analyses and then reporting/presenting insights
Design, administer, and analyze the results of A/B and multivariate tests for micro and macro conversion optimization
Creating forecasts using operational and statistical tools and models
Collaborate with internal teams on defining population segments to support personalized consumer experiences
MS/PhD Degree in Statistics, Mathematics, Economics, Business, Engineering, Sociology or other quantitative fields
3+ years analytics experience in e-commerce, web analytics, digital marketing, operations research, and business consulting
Experience in querying and manipulating raw data-sets for analysis
Experience with SQL Hive, ETL, R, and Python
Experience with statistical techniques including regression, heavy-tailed distributions, extreme values, factor analysis, experimental design, classification, and clustering
Experience with web analytics tools such as Google Analytics, Adobe Analytics (Omniture), or Facebook Analytics
Experience structuring requirements and data for communication with multi-faceted teams
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.