Research Data Scientist, Brand Advertising, YouTube Ads at Google | Mountain View, CA | $147K/yr – $211K/yr

Research Data Scientist, Brand Advertising, YouTube Ads

Mountain View, CA (On-site)

$147K/yr – $211K/yrSenior Level3+ years expFull time

Posted 4 months ago

The other 99% submit and hope. You're about to do something different.

Drive data science for the brand ads quality team to turn business questions into tractable analyses and production-ready models.

Own end-to-end data gathering, modeling, and validation to answer product questions.
Must-have: 3 years of analytics work with Python/R/SQL solving product problems.
Standout: Experience in Online Marketplace Design, Adtech, and causal inference.

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
3 years of work experience with Online Marketplace Design, Adtech, and Causal Inference.

PhD degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics or Business Science.
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

bonus + equity + benefits
Our base salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.