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Staff Data Scientist, Product, Workspace

Google is an engineering company revolutionizing search, developing scalable solutions and platforms used by billions worldwide.
$183,000 - $271,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS

Description For Staff Data Scientist, Product, Workspace

Google Workspace is seeking a Staff Data Scientist to join their team working on cloud-based productivity suite serving over three billion active users globally. This role combines advanced statistical analysis with strategic product development, requiring expertise in data mining, A/B testing, and metrics development. The ideal candidate will lead complex analytical projects, develop solutions for ambiguous problems, and drive product improvements through data-driven insights.

As a Staff Data Scientist, you'll work with products like Gmail, Calendar, Meet, Documents, and other Workspace tools, helping shape the future of hybrid work. You'll use your expertise in Python, R, and SQL to analyze user behavior, conduct experiments, and make strategic recommendations that impact billions of users. The role requires both technical depth in statistical analysis and the ability to communicate insights effectively to stakeholders across Engineering and Product Management.

The position offers competitive compensation including a base salary range of $183,000-$271,000, plus bonus, equity, and comprehensive benefits. You'll be part of Google's engineering culture that focuses on technological innovation and making a global impact. The role provides opportunities to work on challenging problems at scale, collaborate with talented colleagues, and help define the future of work through Google's productivity tools.

This is an exciting opportunity to join during a transformative period in how people work and collaborate. You'll be at the forefront of developing data-driven solutions that shape workplace productivity and communication for organizations worldwide. The role combines technical expertise with strategic thinking, requiring both analytical rigor and business acumen to drive product success.

Last updated 5 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
  • 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

Benefits For Staff Data Scientist, Product, Workspace

Medical Insurance
401k
Equity
  • Medical Insurance
  • 401k
  • Equity

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