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Google · 1 day ago

Staff Product Data Scientist

Mountain View, CA, USA

Full-time

Onsite

Lead/Staff

$183K/yr - $271K/yr

8+ years exp

Google is a leading technology company serving a worldwide user base of over a billion people. They are seeking a Staff Product Data Scientist to provide quantitative support and strategic insights to enhance their advertising solutions and drive the vision for large advertisers.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought 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, implementation of analytical/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, analytical 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

Directly or indirectly oversee the contributions of others and develop colleagues’ capabilities in the area of specialization

Qualification

Statistical analysisPythonRSQLData ScienceCommunicationProblem-solvingTeam leadership

Required

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

10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree)

Preferred

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

12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)

Benefits

Bonus

Equity

Benefits

Company

Google

Glassdoor4.4

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

Founded in 1998

Mountain View, California, USA

10001+ employees

https://www.google.com

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

Sundar Pichai

CEO

Thomas Kurian

CEO - Google Cloud

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