Senior Business Data Scientist, AI/ML, Google Cloud

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

Benefits offered by this job

Equity

Job summary

Google LLC in Sunnyvale, CA, seeks a Senior Business Data Scientist, AI/ML for Google Cloud to drive enterprise AI initiatives. You will own predictive analytics, model development, and deployment strategies across business units, collaborating with BizOps and senior executives to translate insights into actionable plans.

You will leverage ML libraries, large language models, and AI agents to shape customer solutions, measure impact, and ensure scalable, robust production systems that inform

Qualifications

• Master's degree in Statistics, Engineering, Sciences, or related quantitative discipline.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Master's degree or PhD in Computer Science, AI, ML, or related quantitative field.
• 5 years of experience in data science with focus on ML/NLP for developing and deploying AI/ML solutions.
• Experience programming in Python with ML/AI libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face).

Responsibilities

• Drive customer success at scale by developing predictive, personalized, and proactive customer support solutions.
• Lead end-to-end development and deployment of advanced AI/ML solutions, with emphasis on Large Language Models and AI agents.
• Implement evaluation frameworks and metrics for LLMs and AI agents (task completion rate, reasoning quality).
• Monitor and maintain deployed LLM and AI agent solutions in production, tracking KPIs and model drift.
• Identify AI/ML opportunities by translating business needs into technical requirements and researching advances in LLMs and generative AI.

Skills

Analytics

Python

SQL

Statistical analysis

Education

Master's degree

Tools

TensorFlow

PyTorch

scikit-learn

Hugging Face

Job description

Senior Business Data Scientist, AI/ML, Google Cloud

Share Senior Business Data Scientist, AI/ML, Google Cloud

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• 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. You will 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.