Google

Senior Data Scientist, Product, Google Play

Job Description

  • Partner with Play / Apps Product Manager, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences.
  • Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play / Apps team.
  • Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
  • Follow engineering best practice to create scalable data pipelines and models.
  • Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale.

Minimum qualifications:

  • Bachelor'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) (or 5 years work experience and 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).
  • Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), and Data infra and Analytics pipelines.
  • Experience in developing new models, methods, analysis and approaches. Experience with classification and regression, prediction and inferential tasks, training/validation criteria for Machine Learning algorithm performance.
  • Experience in identifying opportunities for business.
  • Bachelor'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) (or 5 years work experience and a Master's degree).

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 is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.


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