Senior Business Data Scientist, Agentic AI, Finance

Google LLC

Chicago, IL

JOB DETAILS
SKILLS
Administrative Management, Analysis Skills, Android, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Business Processes, Cloud Computing, Computer Science, Consumer Packaged Goods, Cross-Functional, Customer Service Management, DNA, Data Collection, Data Science, Database Analysis, English Language, Equal Employment Opportunity (EEO), Field Sales, Finance, Financial Analysis, Financial Services, Genetics, High Availability, Japanese Language, Leadership, Performance Analysis, Problem Solving Skills, Product Management, Product Support, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Recruiting/Staffing Agency, Regulatory Requirements, Retail, SQL (Structured Query Language), Sales, Sales Administration, Sales Management, Service Level Agreement (SLA), Software Development, Startup, Statistics, Stock Purchase Plans, Team Player, Technical Consulting, Technical Leadership
LOCATION
Chicago, IL
POSTED
7 days ago

Senior Business Data Scientist, Agentic AI, Finance - Google Careers

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Senior Business Data Scientist, Agentic AI, Finance

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

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Minimum qualifications:

  • Master"s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

  • 1 year of experience building and deploying AI Agents.

Preferred qualifications:

  • 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

  • Experience building agentic workflows (e.g., ADK, context management, prompt engineering) to transform corporate processes.

  • Advanced proficiency in Python and SQL.

  • Ability to containerize and deploy agents/models to production along with proficiency in observability tools to monitor performance, health, and drift.

  • Demonstrated command of classical ML modeling (e.g., time series forecasting, trees).

  • Background in computer science or software development.

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.

As a part of the Finance Data and Analytics (DnA) team, you will use data to inform business, process and product decisions across Google. In this role, you will have the opportunity to transform Finance processes using AI. Along with your product team within DnA, you will partner with finance and engineering teams to drive process efficiency and transformation, primarily through agentic and AI solutions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Work cross-functionally with analysts, engineers, and program managers to develop and deploy agentic and AI solutions.
  • Use a product-driven mindset to transform key Finance processes using Agents and AI.
  • Communicate results to peers, stakeholders and leaders.
  • Partner with your product team to solve problem and deliver end-to-end process transformation.
  • Operationalize and monitor solutions. Design and deploy model end points that adhere to high-availability SLAs, implementing necessary health checks, retries, and fallback mechanisms.

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

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