Data Scientist Intern, MS, Summer 2022

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Job Description

Minimum qualifications:

  • Pursuing a Master's degree in Statistics, Data Science, or similar quantitative discipline.
  • Experience with statistical software (R, Python, S-Plus, SAS, or similar) and with database languages (e.g., SQL).
  • Experience with data analysis.

Preferred qualifications:

  • Currently attending a degree program in the US with plans to return to the degree program after completion of the internship.
  • Available to work full-time for a minimum of 12 weeks outside of university-term time.
  • Experience with statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
  • Ability to draw conclusions from data and recommend actions.
  • Demonstrated leadership, self-direction and willingness to both teach others and learn new techniques.

About the job

Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building.

At Google, data drives all of our decision-making. Data Scientists/Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. As a key member of the team, you will work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.


  • Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods as needed. Conduct end-to-end analysis, including data collection, requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes.
  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities, design and assess improvements to Google products.
  • Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  • Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user-facing products, such as ads quality, search quality, end-user behavioral modeling, and live experiments.

Company Info.


Google LLC is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as the -most powerful company in the world- and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of 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
  • Jobs Posted

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Google is currently hiring Data Scientist Intern Jobs in New York, NY, USA with average base salary of $85,030 - $118,030 / Year.

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