Data Scientist, Analytics - Crisis Response

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 tools serve communities in some of their moments of greatest need. When there is a terrorist attack, wildfire, hurricane, mudslide, or worse, Facebook Crisis Response enables the community to prepare, recover, and rebuild. These tools, including Safety Check, help people around the world connect with their loved ones and get the information and help they need. Building products for crises poses unique challenges. Facebook's tools need to adapt to different types of crises, varying severity, cultural contexts, and more. They also need to work fast and deploy automatically in the minutes following an incident. We need a Data Scientist who is capable of tackling all aspects of this problem and who will be integral to the development and evolution of the ways Facebook serves communities in crisis. We need someone who can help imagine new products, handle difficult measurement problems, and work with a diverse array of partners.

RESPONSIBILITIES

  • Provide technical and thought leadership on designing, prototyping, implementing and automating complex analyses
  • Use existing insights, and develop an understanding agenda to unearth new ones, to drive the product strategy
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Own all communications of insights to management in support of strategic decision-making
  • Develop and lead best practices for designing, tuning and evaluating complex measurement methodologies
  • 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 engineers to architect, develop, and optimize data and modeling pipelines
MINIMUM QUALIFICATIONS
  • MS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience
  • 10+ years experience doing quantitative analysis or statistical modeling
  • Experience and knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)
  • Experience extracting and manipulating large datasets
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Proven experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
  • Communication experience
  • Knowledge of large-scale classification techniques, from data generation, to their use in learning systems
  • Experience with two sided platforms and teasing out causal inference from endogenous systems
PREFERRED QUALIFICATIONS
  • 5+ years experience leading technical teams
  • Experience with distributed computing (Hive/Hadoop)


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