Business and Marketing Data Scientist
About the role
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world.
Responsibilities
- Design and execute causal studies to address critical business questions.
- Leverage advanced statistical models to find business insights in experimental and observational data.
- Present and communicate actionable insights and recommendations to executives and cross-functional partners.
- Serve as a peer reviewer and consultant for causal studies across the organization.
- Stay current with the latest advancements in causal inference.
Requirements
- PhD degree in Economics, Statistics, Biostatistics or a related field.
- Experience in the job offered or in a Business and Marketing Data Scientist-related occupation.
- Experience with Causal inference.
- Experience with Bayesian statistics.
- Experience with Machine Learning.
- Experience with R or Python.
- Experience with SQL.
Qualifications
Commensurate with experience.
Skills
- R or Python.
- SQL.
- Causal inference.
- Bayesian statistics.
- Machine Learning.
Benefits
See also Google's EEO Policy and EEO is the Law.
Pay
The US base salary range for this full-time position is $177,550 - $198,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
Schedule
Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.