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data scientist Los Angeles, CA

Job description

The 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 and marketing teams 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:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications:

Experience in languages used to productionalize data science algorithms or modules, such as Go, Python, C++
PhD in a quantitative field such as statistics, economics, math

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