The massive scale and heavy engagement of the people using our products make the Facebook ads platform a powerful growth vehicle for businesses and other marketers. It also makes the platform an ideal place to drive cutting edge research to develop innovative marketing strategies in the new mobile and value first world. The successful candidate will focus on investigating and understanding the current best practices for advertising on Facebook as well as using data science to discover new strategies. They will also be focused on consulting with advertisers, partnering with our sales stakeholders, and sharing their findings with internal and external audiences. The team works with advertisers across various tiers and segments to test hypotheses, develop strategies, and educate on the best ways to optimize performance.The team is made up of data scientists with diverse work experiences and professional backgrounds. The ideal candidate for this position will have a proven track record of analyzing and deriving insights from data. They will be intellectually curious, a great communicator, data-driven, a fast learner, and able to move fast while keeping focused on high-impact projects. Applicants should have a strong quantitative understanding, a talent for taking complex concepts and distilling them into clear accessible learnings, be comfortable with ambiguity, and a willingness to empower and help others through sharing their knowledge.
Apply analytical skills to complex quantitative problems, presenting and driving actions from insights to key stakeholders both reactively and proactively
Develop deep understanding of the Facebook ads auction, analyzing current performance and developing new strategies for optimization
Work closely with our sales and Marketing Science teams, as well as advertisers directly, to identify, analyze, and scale auction practices
Research applied machine learning questions in our ads system to improve system understanding and drive advertiser value
Identify strategic levers for improving advertiser performance across Facebook's ads auction
Present polished findings and recommendations directly to various stakeholders
Elevate key themes to our product research teams that should be focused on deeper investigation or alpha testing of new opportunities
Experience with SQL
Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.
Bachelor's degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or Finance)
5+ years of analytics experience
Experience delivering and driving action based on data-driven insights
Experience communicating concepts to non-technical audiences
Experience influencing and partnering with stakeholders across organizations
Track record of operating independently, demonstrating creativity, and delivering results
Auction Expert to manage clients and accounts who business language is Mandarin. Knowledge of Mandarin is essential.
Experience with experimental design
Experience working with machine learning algorithms and AI Systems
Experience with digital advertising
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.