Facebook Data Science Manager 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.
Facebook's Enterprise Products team is responsible for building user-friendly, scalable, and robust enterprise applications. We are looking for an analytics leader to work on our highly specialized supply chain systems. You will enjoy working on cutting edge technology, and see your insights turned into real products on a regular basis. The perfect candidate will have a background in computer science or a related technical field, will have experience working with large data stores, and will have some experience building software. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, progression, and user engagement of a product. This is a full-time position based in our Menlo Park office.
Help build and lead great data engineering & data science teams to deliver world-class products
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how users interact with our products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Mine data and extract useful product insights
Manage development of data resources, gather requirements, organize sources, and support product launches
3+ years of experience in managing other team members in a formal or informal capacity
4+ years of experience doing quantitative analysis
2+ years of experience in an analytical role in a technology or a supply chain company
2+ years of experience with SQL or other programming languages
Experience in initiating and driving projects to completion with minimal guidance
Experience in communicating the results of analysis
Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field
Experience with packages, such as R & programming languages such as python
Experience with large data sets and 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. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at email@example.com.