Business Data Scientist, YouTube Ads, Finance Revenue Analytics and Forecasting
- linkCopy link
- emailEmail a friend
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.