data scientist Los Angeles, CA
Meta
Full Time
Los Angeles, CA
232000 - 165000 USD ANNUAL Today
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:
Minimum Qualifications:
Preferred Qualifications:
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
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law
Meta
https://www.metacareers.com
Menlo Park, CA
Mark Zuckerberg
$10+ billion (USD)
10000+ Employees
Company - Public
Internet & Web Services
2004
