Staff Data Scientist, Product, Workspace

Google is a global technology company that provides a wide range of internet-related services and products.
$168,000 - $252,000
Data
Staff Software Engineer
In-Person
7+ years of experience
Enterprise SaaS

Description For Staff Data Scientist, Product, Workspace

Google Workspace is seeking a Staff Data Scientist to join their team in shaping the future of hybrid work. This role combines technical expertise with strategic leadership, focusing on analyzing and improving products that serve over three billion active users globally. The position requires a strong background in statistical analysis, A/B testing, and data mining, with the ability to translate complex data into actionable insights.

As a Staff Data Scientist, you'll work on Google Workspace products including Gmail, Calendar, Meet, Documents, and more. You'll be responsible for providing quantitative support and market understanding to partners throughout the organization, helping them make data-driven decisions. The role involves both technical execution and leadership, requiring expertise in tools like SQL, R, and Python.

The ideal candidate will have at least 7 years of experience in statistical data analysis and a Master's degree in a quantitative field. You'll be expected to lead complex projects, develop solutions for ambiguous problems, and oversee cross-functional initiatives. The position offers competitive compensation ranging from $168,000 to $252,000, plus bonus, equity, and benefits.

This is an exciting opportunity to join during a transformative period in workplace evolution, where your insights will directly impact how people communicate and collaborate worldwide. You'll be part of an engineering-driven culture that values innovation and technical excellence, working on products that shape people's experiences at home, school, and work.

The role combines technical depth with strategic thinking, requiring someone who can both analyze complex data and communicate findings effectively to stakeholders. You'll have the opportunity to mentor others, drive process improvements, and help define operational goals that influence the direction of Google Workspace products.

Last updated 9 days ago

Responsibilities For Staff Data Scientist, Product, Workspace

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python)
  • Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models
  • Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent
  • Oversee the integration of cross-functional and cross-organizational project/process timelines
  • Oversee the contributions of others and develop colleagues' capabilities in the area of specialization

Requirements For Staff Data Scientist, Product, Workspace

Python
  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
  • 7 years of experience with statistical data analysis
  • 6 years of experience conducting A/B tests to drive improvement of product metrics
  • 5 years of experience with data mining, querying, and managing investigative projects
  • 3 years of experience developing and managing metrics or evaluating programs/products

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