Business Data Scientist, AI/ML, Google Cloud

Google • Sunnyvale, CA

1d • $141,000 - $202,000

About The Position

As a Business Data Scientist, 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 datasets to develop and deploy innovative AI/ML solutions, translating data into actionable strategies.

Requirements

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 years of experience in a data science role, with machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions.
• Experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).

Nice To Haves

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Experience with Large Language Models (LLMs), including application in solving business problems.
• Experience in intelligent self-sustaining agents, including design, development, evaluation, and deployment.
• Experience with cloud platforms (e.g., Google Cloud Platform) and AI/ML services related to LLMs and generative AI.
• Experience in customer support or support-adjacent roles.
• Excellent programming skills in Python or a similar language with the ability to translate data into actionable insights and communicate findings to technical and non-technical stakeholders.

Responsibilities

• Drive customer success at scale while researching and integrating advancements in Large Language Models (LLMs), Generative AI, and AI agent architectures to continuously enhance our capabilities and foster innovation.
• Lead development and deployment of advanced AI/ML solutions, with an emphasis on LLMs and intelligent self-sustaining, agents, addressing business issues.
• Implement 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 and define AI/ML opportunities by collaborating with stakeholders to translate business needs into technical requirements and measurable outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees