Data Scientist, Analytics - Ads Foundations

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 Ads Foundations team builds the bedrock infrastructure that Facebook's Ads are built on to help us achieve this mission. We are responsible for building solutions for Facebooks largest advertisers and partners through our APIs as well as hundreds of Facebook engineers who rely on our work to build stable solutions. We are focused on building for the future of Facebook ads which includes things like building more transparent systems, building more intuitive ads creation and management, rethinking the infra Ads systems run on to increase efficiency, among many others. This role has a wide opportunity for impact across many of the Ads systems at Facebook, directing the future of our technology, and impacting teams that create products that drive tens of billions of dollars of ad spend. We are looking for a Data Scientist who loves a technical challenge and doesn't shy away from difficult problems and can drive data science initiatives across a team of at least 40 engineers.

RESPONSIBILITIES

  • Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Effectively communicate insights and recommendations to management in support of strategic decision-making
  • 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, develop, and optimize data and modeling pipelines
MINIMUM QUALIFICATIONS
  • 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
PREFERRED QUALIFICATIONS
  • 5+ years experience leading cross-functional teams
  • 2+ years experience in software engineering
  • Experience with distributed computing (Hive/Hadoop)


Back to top