Staff Data Scientist Product Manager, Data Science, Analytics

Overview

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 10 years of work 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).
• 3 years of experience as a people manager within a technical leadership role.

• 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).
• 4 years of experience as a people manager within a technical leadership role.

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 provides apps, games, and digital content services. As part of the Platform and Devices team, you will work on engineering backend systems, shaping product strategy, and forming positive content partnerships.

Responsibilities

• Design and implement automated and standardized analysis tools (e.g., dashboards), empowering business stakeholders to uncover business opportunities and make informed decisions.
• Scrutinize and validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies, investigate the root causes of business problems, and provide solutions.
• Produce insights and metrics for various technical and business stakeholders, and follow engineering best practices to create scalable data pipelines and models.
• Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
• Engage and influence senior stakeholders and cross-functional partners, obtain buy in for potential solutions, adapt messaging and suggested recommendations.

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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.