Facebook Data Scientist, Analytics - Signals and Identity 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 Signals and Identity team mission is to understand all people and their activities to make connections with businesses more meaningful. Products built by this team collect signals from various channels and enable them across Facebook in an ads-first, but not ads-only orientation (i.e., ad measurement, optimization, and reporting, but also to enhance Marketplace, Newsfeed, Messenger, Instagram, and more). Identity is one of the most strategic areas of investment and growth in the future within ads. As a result, the team is looking for a highly entrepreneurial Data Scientist with extraordinary product sense who can collaborate with the Engineering and Product teams to protect and enhance the value of Facebook identity.
Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Have a proactive mindset to identify, detect, and mitigate risk to our ecosystem, and be able to clearly articulate a tactical and strategic plan to combat it
Effectively communicate insights and recommendations to management in support of strategic decision-making
Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling
Own ongoing deliverables and communications
Work with data engineers to architect, develop, and optimize data and modeling pipelines
MS degree in a quantitative discipline (e.g., marketing, statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience
8+ years experience doing quantitative analysis or statistical modeling
Experience extracting and manipulating large datasets
Experience in influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
Experience with distributed computing (Hive/Hadoop)
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 firstname.lastname@example.org or you may call us at +1 650-308-7837.