Business & Marketing Data Science Manager at Google | Washington, United States | Rezi

Business & Marketing Data Science Manager at Google

Business & Marketing Data Science Manager

Google · Washington, United States

1 weeks ago

Business & Marketing Data Science Manager

Google · Washington, United States

8 days ago
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About the Role

Google Cloud accelerates digital transformation by delivering enterprise-grade solutions that leverage Google's cutting-edge technology. We empower developers and help customers in over 200 countries solve critical business problems.

Responsibilities

  • 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.

Requirements

  • 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.
  • 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.

Location

  • Seattle, WA

Work Type

  • Full-time
  • Hybrid

Experience Level

  • 11 years progressive post-baccalaureate experience
  • 9 years experience

Education Level

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field
  • Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field

Salary/Compensations

  • $240,000 - $334,000

Benefits

  • 25% bonus target
  • Equity
  • Benefits determined by role, level, and location

About the Company

  • 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.