Business Data Scientist, AI Foundations

Responsibilities

Develop predictive models and analyze large datasets to optimize business processes and drive strategic decision-making. Translate complex data findings into actionable recommendations for executive leadership and measure the impact of AI foundation models.

Requirements

Requires a Master's degree in a quantitative discipline and at least 3 years of experience with AI products and infrastructure. Candidates must demonstrate proficiency in statistical modeling, causal inference, and regression analysis.

Skills

• Statistical modeling
• Causal inference
• A/B testing
• Experimental design
• Regression analysis
• Predictive forecasting
• Data analytics
• Automated dashboards
• Data visualization
• Quantitative modeling
• Telemetry
• ROI frameworks
• Cloud-native infrastructure
• Technical program leadership

Benefits

• Bonus
• Equity
• Health Insurance

About this role

MINIMUM QUALIFICATIONS:

* Master's degree in a quantitative discipline such as Statistics, Engineering,
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.

PREFERRED QUALIFICATIONS:

* Experience in applied data analytics, including designing automated
dashboards, data visualizations, and quantitative models to solve business or
engineering problems.

ABOUT THE JOB:

Google's leadership team hand-picks thorny business challenges, and members of
BizOps work in small teams to find solutions. As part of this team you fully
immerse yourself in data collection, draw insight from analysis, and then zoom
out to develop compelling, synthesized recommendations. Taking strategy one step
further, you also persuasively communicate your recommendations to senior-level
executives, roll-up your sleeves to help drive implementation and check back-in
to see the impact of your recommendations.

The AI Foundations Finance team is at the epicenter of Google's transition to a
Cloud-Native, AI-first enterprise. We provide dedicated financial stewardship,
quantitative modeling, and technical program leadership for the modernization of
Google's internal technical infrastructure and corporate workflows. Our mission
is to architect the economic frameworks and data foundations that accelerate
Google’s Tech Transformation and power the velocity of the entire company.

As the centralized Business Data Scientist on this team, you will serve as our
quantitative modeling, telemetry, and analytics architect across all AI
Foundations Finance pillars. Working closely with Finance and Engineering
leadership and partnering directly with our Technical Program Managers (TPMs),
you will build the unified data foundations, predictive forecasts, and Return on
Investment (ROI) frameworks that guide executive decision-making across
cloud-native developer velocity, hybrid cloud interoperability, next-generation
agent infrastructure, and Frontier AI data investments.

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 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.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA