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Minimum qualifications:

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

Preferred qualifications:

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

In this role, you will Conduct analyses to identify new opportunities, research, develop, and validate metrics to define success. You will design and analyze experiments to measure the effects of product changes. You will shape the development of Generative Artificial Intelligence (GenAI) Agents across Google Cloud Business Platform. You will increase data access through the development of dashboards and reporting.

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/) .

+ Deliver presentations of data-driven insights and recommendations to multiple levels of stakeholders.

+ Define, own and evolve product success metrics. Report, analyze and forecast trends of key product metrics and make recommendations to improve them.

+ Collaborate with the Engineering team to develop prototypes and productize machine learning models by framing a business case into a machine learning program.

+ Lead the design, analysis, and interpretation of product experiments. Apply technical experience with data analysis, modeling, and causal inference to answer the product questions.

+ Partner with Product, Engineering, and cross-functional teams to influence, prioritize and support product strategy.

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.