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Data Scientist Intern in Google

Data Scientist Intern in Google

Country: USA
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Data Scientist, Engineering internship is available in Google, USA.  At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. As a Data Scientist, you will evaluate as well as improve Google’s products.


  • Work experience for your CV
  • Working knowledge of Google

Qualifications and Requirements

  • MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
  • 2 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician).
  • Experience with statistical software (e.g., R, Python, Julia, MATLAB, pandas) and database languages (e.g., SQL).


  • PhD degree in a quantitative discipline as listed in Minimum Qualifications.
  • 4 years of relevant work experience (e.g., as a statistician / computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Applied experience with machine learning on large datasets.
  • Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. In addition, experience translating analysis results into business recommendations.
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem.
  • Likewise, demonstrated effective written and verbal communication skills.
  • Similarly, demonstrated leadership and self-direction.
  • Demonstrated willingness to both teach others and learn new techniques.


  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.
  • Moreover, conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale.
  • Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity.
  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to google products.
  • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis)
  • Research and develop analysis, forecasting, and optimization methods to improve the quality of Google’s user facing products


You can Apply Online.


Type of Opportunity Internships
Open toAll
Contact the organizerhttps://www.google.com/contact/?hl=en&_ga=2.137931504.1905611215.1550992782-439937838.1550733961



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