The Meta 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. Marketing Data Scientist, Reality Labs Responsibilities:

• 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

Minimum Qualifications:

• 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.

Preferred Qualifications:

• Experience in languages and frameworks used to productionalize data science algorithms or modules, such as Python, PyTorch, MLOps systems, and data pipeline orchestrators
• Experience in implementing and maintaining a microservice and creating new DS tools
• PhD in a quantitative field such as statistics, economics, math

About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta 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.