Data Scientist, Product, Google One

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Job Description

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
  • 10 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
  • Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics.

Preferred qualifications:

  • Experience with experimental design, training, data analysis, survey design, and statistical modeling.
  • Experience in designing and delivering data warehousing solutions to deliver business insights.
  • Ability to complete projects separately and work with cross-functional teams in a dynamic fast-paced environment.
  • Ability to apply statistical training to data.
  • Ability to retrieve data sets using tools and coding.

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 One is a premium subscription to Google, delivering expanded storage, premium features, and AI-powered experiences across Google products to members.

In this role, You will partner with teams across Google to deliver valuable experiences to users that drive engagement and enhance loyalty, translating into subscription business growth and stronger platform retention.


  • Partner with Product Managers and Engineering to deliver robust analytics/experimentation infrastructure and processes that deliver insights and decision-making.
  • Partner with the ML team to deliver insights that accelerate ML-driven growth engine capabilities.
  • Identify business problems and come up with solutions that improve product and user experience, spanning Google One and its cross-product area partners.

Company Info.


Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
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