Job Description

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 Facebook Reality Labs Marketing data science team is responsible for developing world-class data science solutions to maximize AR/VR business growth. This managerial role will be to lead this Data Science team and work cross-functionally with marketing, product, engineering, and research teams to build and implement these advanced analytics solutions. Typical projects for your DS team will include statistical/machine learning, causal inference, and optimization models to measure and maximize marketing efficiency, as well as driving insights that can lead to new products and features. This role will also partner with the engineering team to oversee the development of cutting-edge data science products, like realtime bidders.

Responsibilities

• Lead a team of data scientists who are responsible for the creation of world-class marketing data science solutions
• Statistical models, causal inference techniques, and advanced experimentation methods, such as synthetic control, to measure marketing’s impact globally, and across our suite of AR/VR products (e.g., Oculus, Portal, etc.)
• Machine learning and optimization models to improve marketing performance and maximize AR/VR product growth
• Time series, forecasting models to predict growth and set the right business goals
• Frameworks to implement marketing attribution models and incorporate large-scale, real-time data
• Collaborate with our marketing, product, and engineering teams to identify insights, drive recommendations into action, and guide new product ideas
• Oversee, motivate and inspire a strong Data Science team, with a high-impact and ambitious technical roadmap
  

Minimum Qualification

• BS, MS or PhD in a quantitative field such as statistics, economics, math, or equivalent work experience
• 5+ years experience in the data science field at a tech company with large data sets, including 3+ years experience as a people manager
• Experience in statistical modeling, econometrics modeling, and machine learning
• Experience in causal inference and advanced experimentation methods, such as synthetic control
• Experience in querying and manipulating large data sets (SQL)
• Experience in building models in Python or R
• Communication skills and stakeholder management. Experience translating quantitative findings into actionable insights and influence business decisions
  

Preferred Qualification

• Experience in implementing and maintaining a microservice and creating new DS tools
  

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.