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Business Data Scientist, AI Foundations

Google

San Jose, CAJob$138–197K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$138–197K/yr
Location
San Jose, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Google’s AI Foundations Finance team seeks a Business Data Scientist to build data foundations, predictive forecasts, and ROI frameworks that support executive decisions across AI and infrastructure investments. The role partners with Finance, Engineering, and Technical Program Management leaders, applying quantitative modeling and analytics to guide Google’s technical transformation and corporate workflows.

Skills & qualifications

RequiredNice to have

Skills

AI Products, requiredAI Technologies, requiredAI Infrastructure, requiredStatistical Modeling, requiredCausal Inference, requiredA/B Testing, requiredExperimental Design, requiredRegression Analysis, requiredPrediction and Forecasting, requiredApplied Data Analytics, nice to haveDashboard Design, nice to haveData Visualization, nice to haveQuantitative Modeling, nice to have

Qualifications

Master's in Quantitative Discipline or Equivalent, required3 Years AI Experience, requiredEnglish Proficiency, required

Full job description

Business Data Scientist, AI Foundations

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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:

  • 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 aboutbenefits 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

How this job compares

Set against the 4,508 open Data Scientist jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$138–197K/yr
  • California median$150–233K/yr612 salary ranges
  • US median$131–211K/yr3,581 salary ranges

This range's midpoint, $168K, is 15% below the California median midpoint ($198K) — in the middle half of Data Scientist salary ranges in California.

Openings
Olive Jobs lists 723 open Data Scientist jobs in California and 4,508 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 3 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (3,906 postings).
Education
2,206 of the 4,508 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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