Business Data Scientist, AI Foundations

Business Data Scientist, AI Foundations

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corporate_fareGoogleplaceSan Jose, CA, USA

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Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Masters 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

Googles 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 Googles transition to a Cloud-Native, AI-first enterprise. We provide dedicated financial stewardship, quantitative modeling, and technical program leadership for the modernization of Googles 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.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles 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 Googles 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.