Senior Data Scientist, Product, Cloud Developer Relations

Minimum qualifications:Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL). 3 years of experience managing analytical projects.Experience in experimental design and causal inference.Preferred qualifications:5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.3 years of experience working in a complex, matrixed organization.1 year of experience preparing and delivering technical presentations to executive leadership.Ability to think critically, analyze complex problems, and develop data-driven solutions.Excellent business acumen and the ability to align research efforts with organizational objectives.Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at many different levels. 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.The Cloud Developer Relations Data Science team measures the business impact of developer relations activities across a variety of activities, including workshops, videos, live streaming events, technical content, and podcasts. A primary goal of the Cloud Developer Relations organization is to increase developer engagement with Cloud products. Our Data Science team plays a critical role in defining key metrics, measuring the business impact of activities, and identifying trends that help inform strategy.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 $142,000-$211,000 + 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). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. Collect, clean, and analyze data from various sources, including surveys, product usage data, and social media.Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.Influence across teams to align resources and direction.