Staff Data Scientist, Product, Sales Intelligence

Minimum qualifications:

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

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 12 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 5 years of experience in developing and managing metrics or evaluating programs/products.
• Experience in working with Engineers, Product Managers, and User Experience (UX) teams providing product insights.
• Experience in running experimental decision making processes quantitatively (e.g., inference, statistics, etc.) and organizationally (e.g., discipline, alignment, stakeholder management).

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.

In this role, you will help drive the goal of how Google Ads builds customer success through a business and customer intelligence engine.The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google.

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 benefits at Google.

Responsibilities

• Perform analysis utilizing related tools (e.g., SQL, R, Python). Provide investigative thought leadership through contributions (e.g., suggests new analysis, 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 lacking precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, investigative 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 colleague's capabilities in the area of specialization.