Data Scientist, Auction Expert

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Data Scientist, Auction Expert
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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 Facebook the 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 a diverse set of backgrounds. Specifically, we have team members with various levels of academic attainment (Bachelor's, Master's and PhD), work experience, 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, and a willingness to empower and help others through sharing their knowledge. As this team is fundamentally focused on R&D, the candidate must be comfortable with ambiguity and answering broad research questions.
Data Scientist, Auction Expert Responsibilities
  • 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 Auction, analyzing current performance and developing new strategies for optimization
  • Work closely with our Marketing Science and sales 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
Minimum Qualifications
  • Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.
  • Experience with SQL
  • Bachelor's degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or Finance)
  • 2+ 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
Preferred Qualifications
  • Experience with experimental design
  • Experience working with machine learning algorithms and AI Systems
  • Experience with digital advertising
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
(Colorado only*) Estimated salary of $142,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
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