Facebook Data Science Manager, SMB 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 SMB team contributes directly to this mission by connecting every small business in the world with their customers on Facebook, and then helping them grow through solutions like pages, advertising, and messaging. We succeed when we help our customers grow their business.
The SMB team at Facebook is one of two sales channels responsible for Facebook’s multi-billion-dollar advertising business. Our team specifically manages more than 99% of Facebook’s 6M advertisers. And our potential business is even larger with more than 70 million active SMB pages on Facebook. We’re just getting started.
The SMB team is seeking a Data Science Manager who is passionate about using data and insights to drive business strategy, inform its execution, improve efficiency and facilitate clients’ success at scale. The successful candidate will manage a group of analysts focusing on driving data-informed strategies to deliver value for our SMB clients at scale, creating the data infrastructure and reports to measure our business’ top goals and KPIs, conducting deep-dive analyses to inform our strategy, and facilitating data driven decision-making. The ideal candidate is passionate about leading and developing a team and about using data and analysis to evaluate program performance and drive clients’ success in a fast-paced, dynamic environment.
This is a full-time position based in our Menlo Park HQ.
Manage, develop, and motivate a group of analysts
Be a thought leader and go-to expert for SMB program goals, strategy, and long-term vision
Lead and conduct deep-dive analyses to identify needs and priorities of the SMB business
Facilitate data-driven and informed decision making and prioritization
Recruit, interview, train, and hire new team members
Develop strong cross-functional partnerships across Facebook to drive our team’s success
Provide mentorship, guidance, and career development to members of your team
Drive outstanding performance both for this team and the broader SMB org
BA/BS in Math, Statistics, Economics, Computer Science, Physics, or other quantitative fields
5+ years of experience in analytics
Experience managing an analytics team
Experience in conducting analyses to drive business impact
Experience with SQL (Oracle, Vertica, Hive, MySQL, etc.)
Experience communicating with business leaders and cross-functional stakeholders
Experience with statistical analysis and stat packages such as R, MATLAB, SPSS, SAS, Stata, etc.
Experience with communicating strategy and results to different audiences
Experience in managing multiple projects and deadlines
Experience working with sales, marketing, customer service
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.