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Minimum qualifications:

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

+ 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience and a Master's degree).

+ Experience with statistical data analysis, modeling, experimentation, or causal inference to solve product and business problems.

Preferred qualifications:

+ Experience in extracting large sets of data with SQL and in designing ETL flows.

+ Experience in solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.

+ Experience in developing AI/ML applications from inception to completion.

+ Excellent programming skills in Python or R.

The Google Cloud Business Platform (GCBP) - Data Science team is a central intelligence team in Google Cloud Business Platform. Our mission is to empower GCBP with data-driven insights that drive scale and efficiency for the business, and exceptional experiences for customers. We partner with various stakeholders across Cloud to deliver fast, iterative insights to optimize the customer journey and end to end business operation. We partner with engineers in Data Platform and Infrastructure to scale and operationalize our insights.

This is a high-visibility role that partners closely with Product, Engineering, and UX leads. You will also regularly share your findings and present your work to cloud leadership.

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.

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 (https://careers.google.com/benefits/) .

+ Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders. Partner with Product, Engineering, and cross-functional teams to influence, prioritize, and support product strategy.

+ 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 expertise with observational data analysis, modeling, and causal inference to answer the most important product questions.

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.