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

Role Overview

As a Business Data Scientist on the Revenue Analytics team, you will design statistical models, build business intelligence frameworks, and translate complex datasets into actionable strategic narratives. You will drive analysis highlighting how product changes, advertiser behavior, and market economics impact YouTube business, and own business forecasting and reporting for a significant portion of the YouTube Ads business.

What You Will Do

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.

Why It Might Be a Fit

Strong problem solving and technical abilities to drive forecasting, data analysis, and insights for executive audiences. Strong communication skills to distill information concisely to executive audiences.

Requirements

• Master’s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
• Experience involving 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 (e.g., SQL, R, Python, dashboard creation, advanced financial modeling, statistics, programming), with attention to detail.
• Strong communication skills (e.g., slide decks, live presentations) to distill information concisely to executive audiences.

Benefits

• 15% bonus target
• equity
• benefits

Tagged as: Forecasting