Requirements:

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

Nice to haves:

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

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide investigative thought leadership through proactive and strategic contributions.
Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent.
Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation and implementation of analytical/statistical models, and presentation to stakeholders.
Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations.
Oversee the contributions of others and develop colleagues' capabilities in the area of specialization.

Competitive salary range from $183,000 to $271,000 + bonus + equity + benefits.
Opportunity to work at Google, serving a worldwide user base of over a billion people.
Equal opportunity and affirmative action employer commitment to building a diverse workforce.