Senior Data Scientist Product, Google Play Games

1 Month ago • 5-8 Years • Data Analyst

Job Summary

Job Description

This Senior Data Scientist Product role at Google Play Games in Bengaluru, India, requires a Bachelor's degree (or equivalent experience) in a quantitative field and 5-8 years of experience using analytics to solve product or business problems. Responsibilities include designing and implementing automated analysis tools, ensuring data integrity, producing insights and metrics for stakeholders, delivering presentations, and following engineering best practices for scalable data pipelines and models. The role involves collaborating with engineering and product management teams to make data-driven decisions and improve Google Play Games for a global user base exceeding one billion people. The candidate will create visual displays of quantitative information, obtain buy-in for solutions, and adapt messaging for various audiences.
Must have:
  • Bachelor's degree in quantitative field
  • 5-8 years experience in data analytics
  • Proficiency in Python, R, SQL
  • Statistical analysis expertise
  • Data visualization and presentation skills
Good to have:
  • Master's degree in quantitative field
  • Experience with large datasets
  • Experience building data pipelines

Job Details

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work 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 work 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

  • 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, and investigate the root causes of business problems, providing solutions.
  • Produce insights and metrics for various technical and business stakeholders.
  • Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
  • Follow engineering best practices to create scalable data pipelines and models, engage and influence senior stakeholders and cross-functional partners, obtain buy in for potential solutions, and adapt messaging and suggested recommendations.

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