Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.

• 1 year of experience with statistical data analysis, data mining, and querying (e.g., SQL).

Preferred qualifications:

• 1 year of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS).

• Experience in scripting or programming languages (Python, Java)

• 1 year of experience developing and managing metrics or evaluating programs/products.

• Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation

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.

The Age Assurance team's mission is to provide Google with reliable, privacy-preserving age signals, and support seamless, age-appropriate journeys across Google. In this role, the Age Assurance team plays a critical role identifying minors through predictive methods and design user experiences that allows users to proactively verify their age and thereby get access to more sensitive content.

The US base salary range for this full-time position is $102,000-$150,000 + 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 (https://careers.google.com/benefits/) .

• Perform analysis utilizing relevant tools (e.g. SQL, R, Python). Apply standard/common tools, resources, and processes to defined problems and for moderately difficult projects, execute analytical tasks with guidance.

• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.

• Select appropriate approaches from clear options to address technical challenges.

• Develop working relationships outside of the team to contribute to cross-project collaborations and better understand data or products. Leverage a foundational understanding of broader business priorities and analytical techniques.

• Help design and analyze experiments and consult with eng teams on the analysis of A/B tests (especially when methodological complications arise or the interpretation is not straightforward)

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.