Senior Business Data Scientist, Agentic AI, Finance

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, * 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.

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

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.