Marketing Data Scientist, Reality Labs

The Facebook Reality Labs Marketing data science team is responsible for developing world-class data science solutions to maximize AR/VR business growth. This role will work cross-functionally with marketing, product, engineering, and research teams to build and implement these data science solutions. Typical projects will include statistical/machine learning 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 build cutting-edge data science products, like real-time bidders.

• Build statistical models and develop 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.)
• Build time series, forecasting models to predict AR/VR growth and set the right growth goals develop frameworks to implement marketing attribution models
• Develop machine learning models and optimization methods to improve marketing performance and maximize AR/VR product growth
• Collaborate with our marketing, product, and engineering teams to identify insights and guide new product and growth ideas

• MS in a quantitative field such as statistics, economics, math, or equivalent work experience BS
• 5 years experience in the data science field at a tech company with large data sets
• 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
• Experience in building models in Python or R
• Communication skills and stakeholder management. Knowledge to translate quantitative findings into actionable insights and influence business decisions
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• Experience in languages used to productionalize data science algorithms or modules, such as Go, Python, C
• Experience in implementing and maintaining a microservice and creating new DS tools
• PhD in a quantitative field such as statistics, economics, math

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 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.