Senior Business Data Scientist, AI/ML, Google Cloud

Google LLC
Sunnyvale, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Sunnyvale, United States of America

Tech stack

Artificial Intelligence
Data analysis
Databases
R
Python
Machine Learning
SQL Databases
Google Cloud Platform
Large Language Models
Multi-Agent Systems
Generative AI
Virtual Agents

Job description

Experteer Overview As a Data Scientist, you will drive customer success at scale by building predictive, personalized, and proactive support solutions. You will lead end-to-end development and deployment of AI/ML capabilities with emphasis on LLMs and intelligent agents, addressing complex business challenges. You will establish evaluation frameworks and monitor production systems to ensure stability and impact. You will translate business needs into measurable technical outcomes, stay ahead of AI advances, and communicate insights to stakeholders. This role offers the chance to shape scalable AI-powered customer support within Google Cloud. Compensation / Benefits * Drive customer success at scale with predictive, personalized, proactive support solutions * Lead end-to-end development and deployment of AI/ML solutions focused on LLMs and autonomous agents * Implement evaluation metrics for models and agents, including task completion and reasoning quality * Monitor deployed LLM/AI solutions in production, track KPIs, manage drift, ensure scalability * Identify AI/ML opportunities by collaborating with stakeholders and translating needs into measurable outcomes * Research and integrate advancements in LLMs, generative AI, and AI agent architectures Tasks * 4 years of analytics experience solving product or business problems * coding in Python, R, SQL; querying databases or performing statistical analysis Key requirements * bonus target * equity * benefits

Requirements

models in production, track KPIs, manage drift, ensure scalability * Identify AI/ML opportunities by collaborating with stakeholders and translating needs into measurable outcomes * Research and integrate advancements in LLMs, generative AI, and AI agent architectures Tasks * 4 years of analytics experience solving product or business problems * coding in Python, R, SQL; querying databases or performing statistical analysis Key requirements * bonus target * equity * benefits

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