Minimum qualifications Bachelor s degree in Statistics Mathematics Data Science Engineering Physics Economics or a related quantitative field 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 with a Master s degree Preferred qualifications Master s degree in Statistics Mathematics Data Science Engineering Physics Economics or a related quantitative field 12 years of experience using analytics to solve product or business problems performing statistical analysis and coding e g Python R SQL 5 years of experience in extracting and manipulating large datasets and designing ETL flows 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 Business Platform for Sales and Support BPSS team is part of Enterprise Platforms and Ecosystems EPE within Corporate Engineering CorpEng with a mission to build products for Google s internal contact center business for sales and support We are a fast-moving high-impact team that operates like a startup with the resources of Google behind us As a Data Scientist on this team you will work closely with product and engineering teams throughout the entire development process to help build and shape next-generation GenAI products for our users Responsibilities Define own and evolve product success metrics as well as report analyze and forecast key product trends to make recommendations for improvement Perform data exploration to understand user behavior and identify opportunities for improving products Apply technical expertise in observational data analysis modeling and causal inference to answer product questions Lead the design analysis and interpretation of product experiments to measure the causal effects of product changes Partner with Product Engineering and other cross-functional teams to influence prioritize and support product strategy This involves framing and solving ambiguous business problems acting as a thought partner influencing a wide range of product and engineering stakeholders Google is proud to be an equal chance 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

📌 Staff Data Scientist, Product, Corporate Engineering (Telangana)
🏢 Leading
📍 Telangana