Senior Business Data Scientist, AI/ML, Google Cloud

Google Inc.; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google Sunnyvale, CA seeks a Senior Business Data Scientist to drive AI/ML initiatives in Google Cloud. You will build predictive, personalized, and proactive data solutions that translate complex data into decisive business actions for executives.

You will own end-to-end model development, evaluation, and deployment, focusing on LLMs and AI agents to solve real-world challenges and improve customer success at scale.

Qualifications

• Master’s degree or equivalent in a quantitative field.
• 4+ years analytics experience solving product problems; coding in Python/SQL.
• Strong ML/NLP knowledge and deploying AI/ML solutions.
• Experience with LLMs and AI agents.
• Ability to translate data into insights and present to stakeholders.

Responsibilities

• Drive customer success at scale with predictive, personalized AI/ML solutions.
• Lead end-to-end development and deployment of AI/ML solutions, emphasizing LLMs.
• Build evaluation frameworks for model performance and agent reasoning.
• Monitor deployed models/agents; track drift and ensure stability.
• Collaborate with stakeholders to translate business needs into technical outcomes.

Skills

Python

SQL

R

Statistics

Data analysis

Communication

NLP

Cloud data

Education

Master's degree in Statistics, Engineering, Sciences

Master's or PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

LLMs

Job description

Senior Business Data Scientist, AI/ML, Google Cloud

Google Sunnyvale, CA, USA

Mid

• Master’s degree in Statistics, Engineering, Sciences, a related quantitative discipline, 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.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5 years of experience in a data science role, with a specific focus on machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions.
• Experience programming in Python or a similar language, along with relevant ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
• Experience with Large Language Models (LLMs), including their application in solving business problems.
• Ability to translate complex data into actionable insights and communicate findings to technical and non-technical stakeholders.

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.

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

As a Data Scientist, you will focus on Artificial Intelligence to join our team. You will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with large datasets to develop and deploy innovative ML/AI solutions, translating complex data into actionable strategies. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Drive customer success at scale by developing predictive, personalized, and proactive customer support solutions.
• Lead the end-to-end development and deployment of advanced AI/ML solutions, with a strong emphasis on Large Language Models and intelligent autonomous agents, addressing complex business challenges.
• Implement robust evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality).
• Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability.
• Identify AI/ML opportunities by collaborating closely with stakeholders to understand business needs and translate them into technical requirements and measurable outcomes. Proactively research and integrate advancements in LLMs, generative AI, and AI agent architectures to continuously enhance our capabilities.

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 .

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.

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.