Job description

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 $240,000 - $334,000 + 25% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google. Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy. • Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners. • Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment. • Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges. • Direct the shift from tracking data to using OKRs to drive the right outcomes for the business; enabling best practices and data driven behaviors across CLS. Identify and lead the resolution of product gaps by analyzing user feedback and key metrics. • Define team level OKRs and partner with Strategy & Operations and the leadership team around outcome driven measurements; bringing knowledge of the learning business into practice. Regional travel required more than 10% of the time. • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation. • Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation. • Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms. Minimum qualifications: • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation. • Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation. • Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms.

Requirements

Must-haves

Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy.
Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment.
Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningml

Platform: google
Effort: medium