Senior Staff Data Scientist, Product

Google; Mountain View (CA); On-site; USD 214,000 - 305,000; Full time

Benefits offered by this job

Bonus

Equity

Comprehensive benefits

Job summary

Google is seeking a Data Scientist to provide quantitative support and insights to enhance decision-making across the organization. This role demands expertise in analysis and a strong grasp of coding tools like Python, R, and SQL.

The ideal candidate has a Bachelor's degree in a quantitative field and 13 years of experience using analytics for problem-solving. You'll manage projects from inception to execution, ensuring effective communication and actionable outcomes.

The position offers a competitive salary ranging from $214,000 to $305,000, with additional bonuses and equity options.

Qualifications

• 13 years of experience using analytics to solve product or business problems.
• Extensive experience in performing statistical analysis.
• Ability to make critical recommendations based on data analysis.

Responsibilities

• Perform analysis utilizing relevant tools to make actionable decisions.
• Own projects end-to-end, including metrics development and presentation to stakeholders.
• Address ambiguous problems by using existing systems capabilities.

Skills

Statistical analysis

Coding (Python, R, SQL)

Education

Bachelor's degree in a related quantitative field

Master's degree in a related quantitative field

Tools

SQL

R

Python

Job description

Minimum qualifications

• 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 with 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 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.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Compensation

The US base salary range for this full-time position is $214,000-$305,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Responsibilities

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
• Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
• Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
• Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
• Provide direction and accomplish results through leading/impacting the contributions of others.