Principal, Data Science, Cloud AI Innovation
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Minimum qualifications:
- Bachelor’s degree in Data Science, similar technical field of study, or equivalent practical experience.
- 15 years of professional experience as a Data Science or Engineering leader.
Preferred qualifications:
- Ability to initiate and lead successful improvement initiatives across organizations.
- Innovative problem-solving skills, ability to turn ambiguity into clear solutions, and comfortable with new technology and out-of-the-box thinking.
- Excellent communication skills and ability to inspire commitment and drive success within teams and peers.
About the job
As the Principal Data Scientist for the Cloud AI team, you will act as a product leader, and drive decisions about what we build and how we build it in this nascent, ambiguous space. You will operate with a broad mandate across data analytics, strategy, product development, and business, shaping the future of 0 to 1 enterprise AI products leveraging state of the art LLMs and other technologies.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive cross-functional collaboration across Product, Engineering, Marketing, and Operations teams to prioritize initiatives and ensure seamless execution.
- Lead the development and implementation of advanced analytics techniques, including predictive modeling, machine learning, and AI algorithms, to extract actionable insights from large datasets.
- Apply advanced statistical modeling and machine learning algorithms to personalize user experiences and enhance product relevance.
- Establish KPIs, metrics, and performance dashboards to monitor key business metrics, track progress, and identify areas for improvement.
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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.
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