We're looking for analytics leaders to work on our core products with a passion for social media to help drive informed business decisions for Facebook. You will enjoy working with 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 technical field, will have experience working with large data stores, and will have some experience building software. 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. 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. You have experience leading and growing a team of data scientists. You have a passion for mentoring members of your team to achieve strong results and continued engagement. The perfect candidate will have experience building and managing world-class analytics teams, will have worked with large and complex data, and will have a track record of driving data-informed decisions.

Data Science Manager, Analytics Responsibilities

• Help build and lead a great data science team 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 our users interact with our core products

• Partner with Product and Engineering teams to solve problems and identify trends and opportunities

• Inform, influence, support, and execute our product decisions

• Mine massive amounts of data and extract useful product insights

• Build/maintain reports, dashboards, and metrics to monitor the performance of our products

• Manage development of data resources, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful

Minimum Qualifications

• 2+ years of experience in managing other team members in a formal or informal capacity

• 4+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages

• Experience initiating and drive projects to completion with minimal guidance

• Experience communicating and representing results of analysis to senior leadership

• 4+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting

• 2+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualifications

• Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.

• Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc.

• Experience with large data sets and distributed computing (Hive/Hadoop).