Business Data Scientist, AI Foundations
About The Position
Google's BizOps teams tackle complex business challenges by collecting and analyzing data, developing synthesized recommendations, communicating those recommendations to senior executives, supporting implementation, and assessing impact. The AI Foundations Finance team provides financial stewardship, quantitative modeling, and technical program leadership for modernizing Google's internal technical infrastructure and corporate workflows. Its mission is to build economic frameworks and data foundations that accelerate Google's technology transformation. As the centralized Business Data Scientist, you will architect quantitative modeling, telemetry, and analytics across the AI Foundations Finance pillars. You will work with Finance and Engineering leadership and partner with Technical Program Managers to build unified data foundations, predictive forecasts, and ROI frameworks supporting executive decisions about cloud-native developer velocity, hybrid cloud interoperability, next-generation agent infrastructure, and Frontier AI data investments.
Requirements
- Master's degree in a quantitative discipline such as Statistics, Engineering, or Sciences, or equivalent practical experience.
- 3 years of experience with AI products, technologies, and infrastructure.
- Experience with statistical modeling, causal inference, A/B testing, or experimental design.
- Experience with regression analysis for prediction and forecasting.
Nice To Haves
- Experience in applied data analytics, including designing automated dashboards, data visualizations, and quantitative models to solve business or engineering problems.
Responsibilities
- Develop predictive models to optimize business processes and drive strategic decision-making.
- Analyze large datasets to extract actionable insights and identify new growth opportunities.
- Translate complex data findings into clear recommendations for business stakeholders and executive leadership.
- Design key performance indicators to measure the business impact of AI foundation models.
- Formulate data-driven strategies to improve customer engagement and lifetime value metrics.
Benefits
- 15% bonus target
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
