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Staff Data Scientist, Product, Workspace

A global technology company that provides internet-related services and products.
$183,000 - $271,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
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 working on cloud-based productivity suite that serves over three billion active users globally. This role combines advanced statistical analysis with product development, focusing on improving products like Gmail, Calendar, Meet, Documents, and more. The position requires expertise in statistical data analysis, A/B testing, and data mining, with opportunities to shape the future of hybrid work.

The ideal candidate will leverage their quantitative expertise to drive decision-making across the organization, working closely with Engineering and Product Management teams. They will be responsible for conducting complex analyses, developing metrics, and providing strategic insights that influence product development and business outcomes.

This is a senior-level position offering a competitive compensation package including a base salary range of $183,000-$271,000, plus bonus, equity, and comprehensive benefits. The role provides an opportunity to impact billions of users while working at one of the world's leading technology companies. Google's commitment to innovation and collaborative culture makes this an ideal position for someone looking to make a significant impact in the productivity and collaboration space.

The position offers flexibility in location across major tech hubs including Sunnyvale, Boulder, New York, San Francisco, Seattle, and Kirkland, allowing candidates to work from their preferred location while contributing to Google's mission of organizing the world's information and making it universally accessible and useful.

Last updated 2 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
  • Bonus
  • Equity
  • Benefits package

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