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Staff Data Scientist, Product, Workspace

Staff Data Scientist, Product, Workspace

1 Week ago • 7-12 Years • Data Analyst

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

unity

python

sql

data-science

scalability

cross-functional

Job Description

Google seeks a Staff Data Scientist for its Workspace product. Responsibilities involve leveraging tools like SQL, R, and Python for data analysis; proactively suggesting improvements and experiments; owning project outcomes from problem definition to stakeholder presentations; developing solutions for ambiguous problems; overseeing cross-functional timelines; and mentoring colleagues. The ideal candidate will have extensive experience in A/B testing, data mining, and statistical analysis, with a strong understanding of product metrics and a proven ability to communicate complex findings effectively. The Workspace suite, including Gmail, Drive, and Meet, serves billions of users globally, making this a critical role in shaping the future of collaboration and productivity.

Must have:

Master's degree in quantitative field
7+ years statistical data analysis
6+ years A/B testing experience
5+ years data mining and querying
Proficient in SQL, R, Python

Good to have:

12+ years product problem-solving experience
Master's in Statistics, Data Science, or related field

Perks:

Bonus
Equity
Benefits

Minimum qualifications:

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.

Preferred qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
12 years of experience solving product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

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.

Workspace is a cloud-based productivity suite that is revolutionizing the way people communicate and collaborate with one another. Workspace includes products like Gmail, Calendar, Meet, Documents, Sheets, Slides, Drive and many more. It serves over three billion active users across the globe, it shapes people’s experience at home, school and work. With traditional work models being disrupted by the pandemic, this is an exciting time to join an innovative team and help us define the future of hybrid work.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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). Provide leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders.
Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, problem-solving and product-specific expertise.
Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
Oversee the contributions of others and develop colleagues’ capabilities in the area of specialization.

View Full Job Description

$168.0K - $252.0K/yr (Outscal est.)

$210.0K/yr avg.

Worldwide

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.