Senior Business Data Scientist, AI/ML, Google Cloud

Google•Sunnyvale, CA

5d•$163,000 - $236,000

About The Position

Google's BizOps teams work on complex business challenges, using data collection and analysis to develop synthesized recommendations, communicate them to senior-level executives, help drive implementation, and assess their impact. Google Cloud provides infrastructure, platform capabilities, and industry solutions to organizations worldwide. As a Data Scientist focused on Artificial Intelligence, you will help drive customer success at scale by building predictive, personalized, and proactive customer support solutions. You will work with large datasets to develop and deploy ML/AI solutions and translate complex data into actionable strategies. The role emphasizes end-to-end development and deployment of AI/ML solutions, particularly Large Language Models and intelligent autonomous agents, as well as their evaluation and ongoing production monitoring.

Requirements

Master's degree in Statistics, Engineering, Sciences, a related quantitative discipline, or equivalent practical experience.
At least 4 years of experience using analytics to solve product or business problems, coding (such as Python, R, or SQL), querying databases, or performing statistical analysis.

Nice To Haves

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 focused on machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions.
Experience programming in Python or a similar language and using relevant ML/AI libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face.
Experience with Large Language Models (LLMs), including applying them to business problems.
Ability to translate complex data into actionable insights and communicate findings to technical and non-technical stakeholders.

Responsibilities

Develop predictive, personalized, and proactive customer support solutions to drive customer success at scale.
Lead end-to-end development and deployment of advanced AI/ML solutions, emphasizing Large Language Models and intelligent autonomous agents to address complex business challenges.
Implement evaluation frameworks and metrics for LLMs and AI agents, including model performance, task completion rate, and reasoning quality.
Monitor and maintain deployed LLM and AI agent solutions in production by tracking KPIs, identifying and addressing model drift, and ensuring stability and scalability.
Collaborate with stakeholders to identify AI/ML opportunities, understand business needs, and translate them into technical requirements and measurable outcomes.
Research and integrate advancements in LLMs, generative AI, and AI agent architectures to enhance capabilities.