Senior Business Data Scientist, AI/ML, Google Cloud

About the role

MINIMUM QUALIFICATIONS:

• 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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• 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.