Data Scientist, Analytics - Video Integrity

The mission of the Facebook Video team is to create shared experiences and a sense of belonging through video. Video is a rich and immersive format and Facebook is at the forefront of social video experiences with products such as Live and Watch Parties so we have seen an explosive growth of both video production and consumption over the last few years. Surfacing and showing the most relevant videos at this scale while maintaining a healthy ecosystem that is free of content that is harmful is essential to creating a great user experience. The Video Integrity team is responsible for identifying the types of harms that exist and applying techniques ranging from manual labeling to state of the art ML to identify and detect and remove potential harm to our users, publishers and overall ecosystem. We are looking for strong Data Scientists who will be responsible for ensuring that we are developing a safe and healthy video ecosystem. This is a critical role that will be responsible for the measurement, detection and reduction of negative user experiences ranging from violence and adult content to evolving areas like misinformation and deep fakes. This role works closely with both product and engineering teams in identifying and executing on opportunities to improve the integrity of various video experiences. Successful candidates for this role will have a strong technical background as well as significant experience in big data, data science techniques and algorithms, product analytics and influencing decision making across different teams through data.


  • Apply your expertise in quantitative analysis, data mining, data science, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
  • Define problems and opportunities in a complex or ambiguous area.
  • Inform, influence, support, and execute our product decisions and product launches.
  • Partner with Product and Engineering teams to solve problems and identify new levers to improve user experience.
  • Monitor key product metrics, understand root-causes of metric variations.
  • Influence product teams through presentation of data-based recommendations, and clearly communicate state of business, experiment results, etc. to product teams.
  • Graduate Degree in Computer Science, Engineering, Math/Statistics, Physics, Economics, or equivalent experience.
  • 5+ years experience solving analytical problems using quantitative approaches.
  • Experience in SQL, Python/R.
  • Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.
  • Applied Statistics experience (e.g., hypothesis testing, Machine Learning algorithms and lifecycle).
  • Spark experience (PySpark, Spark SQL, RDD)
  • Experience with distributed computing (Hive/Hadoop)
  • Experience in deep learning, optimization, or social network analysis
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.

Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at .

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