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Data Scientist - Product - Customer Engagement

Google

$132,000 - $189,000
Sep 15, 2025
Irvine, CA, USA
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Google is looking to solve the problem of defining and refining product success metrics, and developing a comprehensive metric framework that ties to business priorities and contributes to annual and quarterly OKR setting.

Requirements

  • 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL)
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of experience with statistical data analysis, modeling, experimentation, and causal inference.
  • 5 years of experience with data mining, querying, and managing analytical projects.
  • 5 years of experience developing and managing metrics or evaluating programs/products.
  • Experience solving unstructured business problems with data science, translating results into business recommendations, and measuring the success of those initiatives.

Responsibilities

  • Define, own, and refine product success metrics, work with product management, UX, and engineering to develop and maintain a comprehensive metric framework that ties to business priorities and contributes to annual and quarterly OKR setting.
  • Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on impactful customer journeys.
  • Build an understanding of the data sets used by Customer Engagement and its partner teams, and work with Engineering teams to plug gaps in logging and data infrastructure.
  • Build data aggregation and analysis pipelines, design new metrics, and create dashboards and visualizations around them.
  • Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.

Other

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
  • Ability to work in an unstructured environment with ambiguity.
  • 2 years work experience with a Master's degree.
  • Travel requirements not specified