Minimum qualifications Bachelor s degree in Statistics Mathematics Data Science Engineering Physics Economics or a related quantitative field 8 years of experience using analytics to solve product or business problems performing statistical analysis and coding e g Python R SQL or 5 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 8 years of experience using analytics to solve product or business problems performing statistical analysis and coding e g Python R SQL 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 Play offers music movies books apps and games for devices powered by the cloud It syncs across devices and on the web As part of the Android and Mobile team Googlers working on Google Play do everything from engineering our backend systems to shaping product strategy to forming great content partnerships They make it possible for people to do things like buy an ebook or song on their Android phone then have it instantly available on their laptop The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users Responsibilities Conduct analyses of large datasets to understand user behavior app game discovery patterns and the impact of features and ads within the Play Store Design implement and analyze sophisticated A B experiments for new Play Store features UI changes personalization algorithms and ad formats placements Define appropriate metrics success criteria and guardrails considering the trade-offs between user experience developer success and advertiser value Provide clear recommendations based on experiment results including statistical significance and practical implications Apply statistical methods and machine learning techniques to build models for personalization recommendations user segmentation lifetime value prediction or auction optimization as relevant to the team s goals Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment prospect 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

📌 Senior Data Scientist, Product, Play Store And Ads (Karnataka)
🏢 Important Group
📍 Karnataka