Business Data Scientist, YouTube Ads, Finance Revenue Analytics and Forecasting
San Bruno, CA, USA · Full-time · Posted Oct 22, 2026
- Experience
- 3 years; alternatively, a relevant PhD degree. Preferred: 4 years, or a relevant PhD degree.
- Education
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
About the job
Builds revenue forecasts and analytics for YouTube Ads, turning data about products, advertisers, and markets into strategic recommendations for executives.
What you'll do
- Develop and maintain forecasting models and predictive frameworks for global ad revenue.
- Analyze ad business performance and model the financial impact of product, algorithm, and policy changes.
- Build data pipelines and executive dashboards, and present analysis as strategy recommendations.
What they ask for
- Master's degree in a quantitative discipline or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding, querying databases or statistical analysis, or a relevant PhD degree.
Nice to have
- 4 years of relevant analytics experience, or a relevant PhD degree.
- Experience with online advertising and emerging businesses; executive communication and quantitative skills such as SQL, R, Python, dashboard creation, financial modeling, and statistics.
Pay
$138000 - $197000 USD base salary
Tools
Python, R, SQL
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