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, analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), data mining, querying (e.g., SQL), and coding (e.g., Python, R, SQL).
Preferred qualifications:
Experience in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis.
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.
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.
Responsibilities
Build models and frameworks to better understand the opportunity size of Customer Engineer (CE) Support initiatives. Enable more informed decisions, and contribute to annual and quarterly Objectives and Key Results settings.
Build an understanding of the large, complex data sets used by CE and our partner teams. Work with engineering teams to plug gaps in logging and data infrastructure.
Build an understanding of relationships and drivers of ecosystem metrics and performance.
Help product teams prioritize strategic projects and measure impact via dashboarding and experimentation support.
Improve experimentation velocity and analysis turnaround time through adoption of self-service tools such as RASTA.
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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
