Staff Data Scientist, Product, Workspace jobs in United States
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Google · 4 hours ago

Staff Data Scientist, Product, Workspace

Google is a leading technology company that serves a worldwide user base of over a billion people. The Staff Data Scientist will provide quantitative support and strategic insights to partners across the organization, utilizing data to drive improvements in product metrics and decision-making.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide leadership through proactive 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

Qualification

Statistical data analysisA/B testingData miningMetrics developmentPythonRSQLCommunication skillsProblem-solving

Required

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

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)

Benefits

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase