Senior Data Scientist, Product at Google

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

229000.0

Posted On

14 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Analysis, Causal Inference, A/B Testing, Python, R, SQL, Analytics, Product Management, Experiment Design, Performance Measurement, Key Performance Indicators, Business Insights, User Experience, Android Apps

Industry

Software Development

Description

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. * Expertise using Causal Inference. * Experience with A/B testing. 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). * Experience working with Android Apps. ABOUT THE JOB: The Play Data Science and Analytics team works on a variety of challenging data science projects to drive product decisions for Play. This team is truly embedded in the product development lifecycle. We're thought partners from project ideation to experimentation, and our analyses consistently help set strategy for the wider area we work on. 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. The US base salary range for this full-time position is $156,000-$229,000 + 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/]. 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. * Partner with Product Management, Engineering team, GTM and other Play teams to provide data feed, experiment design and product insights that will improve performance, and ensure proper logging and metrics are available for performance measurement. * 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. * Drive analysis for Play, focusing on product features and user experience across Play Apps.

Responsibilities

Perform analysis using relevant tools to solve ambiguous business problems and provide insights. Partner with cross-functional teams to improve product performance and report on key performance indicators.