Data Scientist, Auction Science

Menlo Park, CA

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Data Scientist, Auction Science 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 Meta'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
  • Requires a Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or Finance, or a related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following:
  • Operating independently, demonstrating creativity, and delivering results
  • Statistical analysis (e.g. regression, probability) using one of the following tools: Python, R, MATLAB, SPSS, SAS, or Stata
  • Analytics experience
  • Communicating concepts to non-technical audiences
  • Influencing and partnering with stakeholders across organizations
  • Delivering and driving action based on data-driven insights
  • SQL.
LocationsAbout 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 accommodations-ext@fb.com. $212,109/year to $235,400/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Apply now Apply later
  • Share this job via
  • or

Tags: Computer Science Economics Engineering Finance Machine Learning Mathematics Matlab Physics Python R Research SAS SPSS SQL Stata Statistics Testing VR

Perks/benefits: Career development Equity Health care Salary bonus

Region: North America
Country: United States
Job stats:  5  0  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.