SENIOR STAFF DATA SCIENTIST, PRODUCT

Google Inc.; New York (NY); On-site; USD 227,000 - 320,000; Full time

Job summary

Google seeks a Data Scientist to provide quantitative support and insights to enhance decision-making and storytelling through data. This role involves end-to-end project management and analysis using tools like SQL, R, and Python, influencing key teams to drive results. Ideal candidates will have extensive experience in analytics, statistical analysis, and coding.

Benefits

Bonus

Equity

Benefits

Qualifications

• 13 years of work experience using analytics, or 10 years with a Master’s degree.
• English proficiency required.

Responsibilities

• Perform data analysis using SQL, R, Python; manage projects end-to-end.
• Coordinate cross-functional projects and lead team contributions.

Skills

Analytics

Statistical Analysis

Coding

Data Visualization

Problem Solving

Education

Bachelor's degree in Statistics

Master's degree (preferred)

Tools

SQL

Python

R

Job description

Note : By applying to this position, you will have the opportunity to share your preferred working location from the following options : Sunnyvale, CA, USA; New York, NY, USA .

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) OR 10 years of work experience plus a Master's degree.

Preferred qualifications :

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 15 years of work experience using analytics to solve 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 over a billion people. Data Scientists provide quantitative support, market understanding, and strategic insights to our partners. As a data enthusiast, you will serve as an analytics expert, using numbers to inform better decision-making and storytelling through data. You will make critical recommendations to Engineering and Product Management teams.

Google is an engineering-driven company that hires individuals with broad technical skills to tackle major technological challenges and make an impact globally. Our work spans from search to large-scale applications and innovative platforms, impacting products like Google Ads, Chrome, Android, YouTube, and more.

The US base salary range for this full-time role is $227,000-$320,000, plus bonus, equity, and benefits. Salary specifics depend on role, level, location, skills, experience, and education. Your recruiter can provide more details during the hiring process.

Please note that listed salaries reflect base pay only, excluding bonuses, equity, or benefits. Learn more about Google benefits.

Responsibilities

• Perform data analysis using tools like SQL, R, Python; lead projects from problem definition to actionable insights.
• Manage projects end-to-end, including metrics development, data manipulation, visualization, modeling, and stakeholder presentation.
• Address ambiguous problems by leveraging existing systems and collaborating to define solutions.
• Coordinate cross-functional projects, drive improvements, and set operational goals.
• Lead and influence team contributions to achieve results.

Google is an equal opportunity employer committed to diversity and inclusion. We welcome applicants regardless of race, religion, gender, sexual orientation, gender identity, national origin, disability, age, veteran status, or other protected categories. For more information, see Google's EEO Policy and related resources.

English proficiency is required for global collaboration.

Note : Google does not accept agency resumes; unsolicited submissions may not be compensated.

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