Business Data Scientist, YouTube Ads, Finance Revenue Analytics and Forecasting
About the role
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
[https://www.google.com/about/careers/applications/benefits/].
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.
Responsibilities
- Develop and maintain forecasting models and predictive frameworks for global ad revenue.
- Analyze ad business 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 launches, algorithm updates, and policy shifts.
- Build data pipelines and executive dashboards to monitor business health and ecosystem changes.
- Present quantitative analyses and strategy recommendations to executive leadership.
Qualifications
- Master's degree in a quantitative discipline or equivalent practical experience.
- At least 3 years of experience using analytics to solve business or product problems, coding, querying databases, or performing statistical analysis; a relevant PhD degree also qualifies.
- Experience with Python, R, SQL, database querying, or statistical analysis.
- Preferred: 4 years of relevant experience and quantitative analysis involving online advertising or emerging businesses.
- Strong forecasting, data analysis, financial modeling, dashboarding, communication, and presentation skills.
Benefits
- 15% target bonus
- Equity
- Benefits
Skills mentioned
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
H-1B sponsorship history
Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.