Google
Research Data Scientist, Brand Advertising, YouTube Ads
Found: Today
This role is based in Mountain View, CA.
Compensation:
$147,000-$211,000/year + bonus + equity + benefits
About the job:
Leverage operations research, game theory, statistics, and machine learning to build optimization solutions for YouTube advertising. Responsibilities include relevance aiming, creative recommendation, bidding optimization, and impact measurement.
Responsibilities:
- Collaborate with stakeholders to clarify business questions and translate them into analysis.
- Design and evaluate models to solve defined problems.
- Gather and validate data across sources for analysis.
Minimum qualifications:
- Master's degree in a quantitative field.
- 3 years of experience in analytics and coding (Python, R, SQL).
- Experience with Online Marketplace Design and Adtech.
Preferred qualifications:
- PhD in a quantitative field.
- 5 years of relevant work experience.
