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 Expert Responsibilities

• Investigate and understand the current best practices for advertising on Meta, and use data science to discover new strategies.
• 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 Meta 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

• Master's degree in Statistics, Mathematics, Data Science, or a related field and 36 months of experience in job offered or in a related occupation.
  
  Requires 36 months of experience in each of the following:
• 1. Machine learning techniques
• 2. Working with large data sets and network-based data (TCP or HTTP)
• 3. ETL (Extract, Transform, Load) processes
• 4. Relational database (SQL or PL*SQL)
• 5. Developing in Python
• 6. Statistical analysis using R
• 7. Large scale data processing infrastructures using distributed systems (Hadoop, Hive, MapReduce, or MPI)
• 8. Quantitative analysis techniques: clustering, regression, pattern recognition and descriptive and inferential statistics
• 9. Communicating and presenting results of data analyses.

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 accommodations-ext@fb.com.

162.706 $/year to 196.900 $/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.