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

Google LLC; San Bruno (CA); Sur place; USD 138 000 - 197 000; Plein temps

Avantages offerts par ce poste

Equity

Résumé du poste

Google LLC is seeking a YouTube Ads Finance Business Data Scientist for the Revenue Analytics team. The role sits at the intersection of data science, financial forecasting, and product strategy, driving insights for executive decision-making and revenue growth across YouTube Ads.

You will design statistical models and BI frameworks, translate complex datasets into strategic narratives, and own forecasting and reporting for a significant portion of the YouTube Ads business.

Qualifications

• Master's degree in a quantitative discipline; equivalent practical experience also acceptable.
• 3 years of analytics experience with coding (Python, R, SQL), querying databases, or related PhD.

Responsabilités

• Develop, validate, and maintain advanced forecasting models and predictive frameworks for global ad revenue trajectories.
• Conduct empirical analysis to identify growth drivers, advertiser behavior shifts, and yield optimization opportunities.
• Collaborate with Product, Engineering, and Global Sales Operations to model financial impacts of launches, algorithm updates, and policy shifts.
• Design scalable data pipelines and executive dashboards to monitor health metrics and ecosystem changes.
• Deliver narrative, data-driven presentations to executive leadership translating analyses into strategy.

Connaissances

Forecasting

Data analysis

SQL

Python

R

Statistical modeling

Executive communication

Formation

Master's degree in quantitative discipline

Outils

SQL

R

Python

Description du poste

Minimum qualifications:

• 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.

Preferred qualifications:

• 4 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.

About the job

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 sit at the intersection of data science, financial forecasting, and product strategy.

In this role, you will design statistical models, build business intelligence frameworks, and translate complex datasets into actionable strategic narratives. Your work will directly inform high-stakes decision-making by YouTube executive leadership, guiding business growth within the YouTube Ads Brand advertising business. This role 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 cross-functionally 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 compelling, narrative-driven quantitative presentations to executive leadership, translating complex statistical analyses into concise strategy recommendations.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.