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Data Science Internship

Job Description

Selected intern’s responsibilities include:

  • Build parsers for xml and html documents, to store the output in a structured data shape
  • Brainstorm and build python modules to clean up unstructured data
  • Use a mix of multiprocessing, multithreading and numba (to offload tasks to GPU) to speed up math calculations
  • Quality checks by cross-verifying our outputs with other existing datasets, to identify bugs, and fixing them,
  • Adopt best practices and brainstorm, to store large sets of data efficiently (500 million + rows of data)


Details:

  • Tenure: 6 months
  • Working Hours: 10am-6pm
  • Working Days: Monday to Friday
  • Positions open: 3
  • Comes with a job offer conditional on performance

 

Aptitude Test

    • The aptitude test is shown in the embedded video below:

  • You may download the required files from this link.
  • The last date for submissions is 7pm on 19 February, 2025.
  • We’ll shortlist and select candidates on a first-come, first-serve basis.

 

Instructions:

  • Submit your completed answers at: [email protected], with:
      • Share the working code
      • Share a video walkthrough of your code, showing that it’s meeting all these conditions (important)

         

  • While submitting your answers, please mention your:
      • Full Name
      • Contact information
      • College/university’s name
      • The graduation/post grad. program that you’re currently pursuing
      • If still studying, mention your academic year (1st year, 2nd year etc.)
      • If still studying, would it be possible for you to procure a waiver of your classes, from your college’s training and placement cell, so you can work full time for this 6 month internship (yes/no)?

 

In case you have any doubts, please reach out to [email protected]

If we like your submission, and its timeliness, we will set up a phone interview.

Best of luck and we look forward to hearing from you.

Regards,
Chetan
Data QA Analyst

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Offer Ends In

Starting from $49 $19 / month

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