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Minimum qualifications:

+ Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practice experience.

+ 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years experience with a Master's degree.

Preferred qualifications:

+ Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

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 be driving YouTube's expansion by leveraging data to pinpoint, quantify, and refine growth opportunities across the platform. You will conduct analysis and develop recommendations that influence product strategy and business decisions. You will work on user behavior, experimentation, and metric development to unlock new avenues for growth and engagement. You will conduct in-depth analysis to identify key drivers of user growth and engagement across diverse YouTube product areas. You will Perform user-level and funnel analysis to identify and size new areas of product investment. You will design and implement experiments to test and optimize growth strategies, including A/B testing and other statistical methods. You will design, test, and implement new metrics to measure growth and product performance. You will collaborate with cross-functional teams to translate data insights into recommendations that inform product and business decisions.The US base salary range for this full-time position is $132,000-$189,000 + 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 (https://careers.google.com/benefits/) .

+ Perform analysis by utilizing related tools (e.g., SQL, R, Python). Using technical knowledge, use custom data infrastructure or existing data models.

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

+ Report Key Performance Indicators (KPIs) to support business reviews with a cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities.

+ Provide investigative insights and recommendations to influence product feature development decisions.

+ Build and prototype analysis and business cases iteratively to provide insights at scale. Develop knowledge of Google data structures and metrics.

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/OFCCP_EEO_Post.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.