Business Data Scientist, YouTube Ads, Finance Revenue Analytics and Forecasting

Google•San Bruno, CA

20h•$138,000 - $197,000

About The Position

The YouTube Ads Finance team provides strategic, financial, and quantitative guidance across YouTube’s core business generation channels. As a Business Data Scientist on the Revenue Analytics team, you will work at the intersection of data science, financial forecasting, and product strategy. You will design statistical models, build business intelligence frameworks, and translate complex datasets into actionable strategic narratives. Your work will inform high-stakes decisions by YouTube executive leadership and guide growth in the YouTube Ads Brand advertising business. The role focuses on analyzing how product changes, advertiser behavior, and market economics affect YouTube’s business, and on owning business forecasting and reporting for a significant portion of YouTube Ads. Individual pay is determined by job-related skills, experience, and relevant education or training. Compensation in the US is $138,000–$197,000 USD, plus a 15% bonus target, equity, and benefits.

Requirements

Master's degree in a quantitative discipline such as Statistics, Engineering, or Sciences, or equivalent practical experience.
At least 3 years of experience using analytics to solve product or business problems, coding (such as Python, R, or SQL), querying databases, or statistical analysis; alternatively, a relevant PhD degree.

Nice To Haves

At least 4 years of experience using analytics to solve product or business problems, coding (such as Python, R, or SQL), querying databases, or statistical analysis; alternatively, a relevant PhD degree.
Experience with quantitative data analysis related to online advertising and emerging businesses.
Strong problem-solving and technical abilities to drive forecasting, data analysis, and insights for executive audiences, including SQL, R, Python, dashboard creation, advanced financial modeling, statistics, and programming, with attention to detail.
Strong communication skills, including slide decks and live presentations, to distill information concisely for executive audiences.

Responsibilities

Develop, validate, and maintain advanced forecasting models and predictive frameworks to project global ad revenue trajectories.
Conduct empirical analysis on ad business generation streams to identify growth drivers, advertiser behavior shifts, and yield optimization opportunities.
Partner with YouTube Product, Engineering, and Global Sales Operations to model the financial impact of platform launches, algorithm updates, and policy shifts.
Design scalable data pipelines and executive performance dashboards to monitor business health metrics and ecosystem changes.
Deliver narrative-driven quantitative presentations to executive leadership, translating complex statistical analyses into concise strategy recommendations.