Senior Data Scientist, Product, Workspace

10 Hours ago • 5-8 Years • Data Analyst • $156,000 PA - $229,000 PA

Job Summary

Job Description

The Senior Data Scientist, Product, Workspace at Google will leverage data to drive product adoption and AI usage within Google Workspace (Drive, Docs, Sheets, Slides, and Vids). Responsibilities include performing analysis using SQL, R, and Python; solving complex business problems; building new processes and procedures; reporting KPIs to leadership; translating analysis into actionable insights; and building scalable analysis and business cases. The role requires strong communication skills to influence cross-functional teams and advocate for product improvements. The candidate will develop comprehensive knowledge of Google's data structures and metrics.
Must have:
  • 8 years experience (or 5 years with Master's)
  • Proficiency in SQL, R, Python
  • Strong analytical and problem-solving skills
  • Experience with consumer-facing tech products
  • Data visualization and communication skills
Good to have:
  • Master's degree in quantitative field
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience and a Master's degree).
  • Experience working with consumer-facing technical products.

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The Workspace Data Science team empowers product teams for Drive, Docs, Sheets, Slides, and Vids through development of key metrics, data-driven insights, modeling, experimentation, and other forms of causal inference to grow product adoption and AI usage.

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.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
  • Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
  • Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
  • Influence across teams to align resources and direction.

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