Data Scientist, Analytics - Ads Personalization and Automation

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.

The Personalization and Automation team is working towards this mission by helping businesses on Facebook find better ways of reaching their audiences. There are millions of advertisers on Facebook and thousands of options to configure their ads to reach the right people at the right time. All these options make our systems powerful and flexible, but also intimidating and can make answering the question "what's the BEST way to delivery my ads?" surprisingly difficult to answer. This is the problem that we are trying to solve. We are building tools that give our interfaces a personal touch to help guide advertisers to the most effective and efficient ways to serve their ads while adding tools to helping them automate their business on Facebook to give them peace of mind that their advertising dollars are always being spent within their specific parameters for success. A successful Data Scientist will be ready to help push the product team forward by identifying high impact areas for automation, advise on and help implement best in class solutions, while also helping contribute to the vision for the team.


  • Use existing insights, and develop an understanding agenda to unearth new ones, to drive the product strategy
  • Own all communications of insights to management in support of strategic decision-making
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling
  • Own ongoing deliverables and communications
  • Work with data engineers to architect data and modeling pipelines
  • MS degree in a quantitative discipline (e.g., statistics, operations research, econometrics), or BS in a quantitative discipline plus MBA with a quantitative concentration (operations management, supply chain, information technology, finance), or equivalent practical experience
  • 10+ years experience doing quantitative analysis or statistical modeling
  • Track-record driving product strategy through data analysis and product positioning
  • Experience extracting and manipulating large datasets
  • Working knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)
  • Experience in a scripting language (PHP, Python, Perl, etc.)
  • Communication experience
  • 5+ years experience leading cross-functional teams
  • 2+ years experience in software engineering
  • Experience with distributed computing (Hive/Hadoop)

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