Applications are invited from eligible candidates for the Eli Lilly Data Scientist Hiring Challenge.

About Eli Lilly

Eli Lilly and Company is an American pharmaceutical company headquartered in Indianapolis, Indiana, with offices in 18 countries. Its products are sold in approximately 125 countries. The company was founded in 1876 by, and named after, Colonel Eli Lilly, a pharmaceutical chemist and veteran of the American Civil War.

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About the Eli Lilly Data Scientist Hiring Challenge

Showcase your knowledge of ML techniques and expertise working with different types of data to solve the case provided through the Eli Lilly Data Scientist Hiring Challenge.

Eligibility Criteria:

  • Years of experience: 1+

Challenge Format:

  • 1 Machine Learning question

Tech Stack

  • R or Python is preferred for coding but any language of your choice is welcome!

Recruitment process

  • Shortlisted candidates will then be invited to do another ML case and interviews at Eli Lilly

Post Overview

  • Data Scientist
Experience:1 years+
  • Use advanced analytics techniques and build models to answer business questions at the intersection of the pharmaceutical and digital marketing spaces to provide value to marketing and media teams
  • Dive deep into a variety of digital and consumer data sources including Google Analytics, DoubleClick Manager, Search, TV viewership etc. to find patterns, explain trends and tie them to business outcomes
  • Build and maintain deep knowledge of the continuously evolving digital marketing landscape
  • Continuous learning and experimenting new with possibilities for consumer marketing analytics 
  • Collaborate with cross-functional teams and external consultants to help review or translate this work to other team members
  • Stay current with respect to statistical/mathematical modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected

Guidelines

  • This is an individual-participant challenge.
  • After you have built your application, you must do the following:
    • Submit the solution in .zip format
    • At the end of the page, you must complete the following tasks:
      • Upload the following as a zip, tar, or tar.zip archive:
        • Prediction file
        • Source file
      • Submit your solution
  • The submissions are evaluated automatically. The evaluation parameters include the following:
    • Functionality of the code
    • Design aesthetics
    • Usability of the application
  • The evaluation of submissions can take up to a week’s time.
  • When the challenge is live, your output will be evaluated only for 50% of the test data. After the challenge is over, your output for the remaining 50% of the test data will be evaluated and the final rank will be awarded.
  • If you do not select a submission file for the offline evaluation, your best submission will be automatically considered.
  • You will have to upload your submissions on the Problems page in the format specified in the problem statement.
  • In addition to your final submission, you will also have to submit your source file and other files as a .zip or .tar compressed archive.
  • The total number of submissions allowed for a participant throughout a challenge is 600. The maximum number of submissions that a participant can make in a day is 10.
  • You can use any tools or libraries to build your solution. There is no restriction on the tools that you can use.
  • The Intellectual Property (IP) of the product/code of the winners will belong to HackerEarth (only when they accept the prize). Other participants will retain the IP over their product/code. They can choose to put it in an open source domain under any license.
  • You will receive your prize after the announcement of results on the contest page in the last week of the following month. But note that if your nation does not accept PayPal payments, we will not be able to send you any cash prizes.
  • Prizes above are mentioned per individual.
  • In order to claim the prize, your leaderboard score must be reproducible from your code files.
  • Use of external dataset is prohibited for this challenge. Participants found using external dataset will be disqualified.

How to Register?

  • Interested participants can register for the challenge through this link.
  • Registration Deadline: Dec 19, 2021

Click here to view the official notification for the Eli Lilly Data Scientist Hiring Challenge.

Looking for similar opportunities, join Opportunity Cell on WhatsApp or Telegram here.

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