Internships

AMAZON Data Science Internship Program

Deadline:  Unspecified

AMAZON Data Science Internship Program: We are now accepting applications from driven data scientists who possess exceptional leadership abilities as well as the capacity to create, automate, and use system-based analytical models.

The extremely competitive Amazon internship position is open to qualified students pursuing a Master’s or Ph.D. in mathematics, statistics, computer science, or a closely related scientific subject.

Amazon is an equal opportunities employer. Believe passionately that employing a diverse workforce is central to success. The company makes recruiting decisions based on your experience and skills:

  • Experience in machine-learning methodologies (e.g., supervised and unsupervised learning, deep learning, etc.)
  • Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive).
  • Experience in communicating technically, at a level appropriate for the audience.

Eligibility:

Applicants for AMAZON Data Science Internship Program are expected to meet the following criteria for this opportunity:

  • Enrolled in Master’s or Ph.D. degree in math, statistics, computer science, or related science field.
  • Experience with regression modeling, forecasting, and time series analysis.
  • Experience with data scripting languages (e.g. SQL, Python, R etc.) or
    statistical/mathematical software (e.g. R, SAS, or Matlab)
  • Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.).
  • Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.
  • Applicants have a demonstrated ability to manage medium-scale modeling projects, identify requirements, and build methodology and tools that are statistically grounded.
  • You will have experience collaborating across organizational boundaries.

Application:

 Interested and qualified candidates for the AMAZON Data Science Internship Program can proceed to the online application portal to submit their application.

Click here to apply 

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