Connect

Can't find what you're looking for?

Join our Talent Network
Join our Talent Network

UIUC Campus - Data Innovation Lab Intern

Location: Champaign, IL, United States
Date Posted: Sep 3, 2019

Share: mail

Job Description

Description

Analytics Professionals are the data driven, business professionals using quantitative methods such as data analytics, business process modeling, data mining, and advanced statistical techniques to solve problems for internal business partners and external Caterpillar customers.


Caterpillar is the world’s leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotive.


Our products have evolved from simple mechanical workhorses to sophisticated, electronically controlled work-site solutions. This transformation, along with our smart factories and our integrated dealer network, has provided a wealth of Big Data that is mined and analyzed across various segments such as product development, manufacturing, supply chain, marketing, sales and customer support.


Work at the Caterpillar data innovation lab will focus on exploration of emerging and disruptive techniques, data-based technologies, as well as advanced analytics technologies, often demonstrated through proof of concept projects. Projects will be forward thinking and at the edge of Caterpillar’s business model. The lab is vibrant, cross-disciplinary work environment designed to stimulate innovation and creative problem solving.


As an Analytics Part-Time Student Intern, you will be immersed in our business data as well as introduced to analytics tools and techniques, enabling you to provide insights that drive business decisions. Some of the projects may involve research in:

  • Supply Chain optimization.
  • Video Analytics.
  • Job site productivity software.
  • Application of new devices, sensors, and metrics.
  • Integration of wearables product data or environmental data.
  • Customer Loyalty modeling (a.k.a. Amazon Prime experience).

**Note:  This position includes the expectation that the candidate will work part time hours during the school year with the potential to work full time during the summer.  Additionally, this position requires the ability to work daily, on-site at our Champaign, Illinois facility. 

Qualifications

Basic Qualifications

  • Applicants must be pursuing a Bachelors, Masters or PhD degree in: Statistics, Mathematics, Computer Science, Business (various), Linguistics, Economics, Information Science, Actuarial Science, Applied Statistics, Business Analytics, Business Intelligence & Analytics, Engineering (various), Computer Science, Economics, Informatics, Information Systems Management, Marketing Analytics, Mathematics, MBA with Technical Undergrad, Operations Research, Predictive Analytics, Quantitative & Computational Finance, Quantitative Finance, Statistics, or equivalent.
  • Applicants need to be currently enrolled in a four-year, accredited institution.
  • Applicants must a minimum cumulative Grade Point Average of 3.0/4.0 scale (no rounding).
  • Candidate must be able to provide their own laptop for day to day work.

Top Candidates Will Also Have:

  • Interested in pursuing a career in Analytics, Data Science/Mining.
  • Experience with SQL, SAS, Python, Angular, Swift, R, Tableau, C++, C#, Java or similar tools.
  • Strong technical and problem-solving skills.
  • Self-Initiative.  
  • Effective communicator.
  • Thrive in a team environment.

Caterpillar is proud of the role we play in building the world's infrastructure. The work we do drives progress for millions of people around the globe.

All qualified individuals – including minorities, females, veterans and individuals with disabilities are encouraged to apply.

Share: mail

Job Info

Sep 3, 2019

190006NJ

United States


Similar Jobs

UIUC Campus - Data Innovation Lab Intern

Champaign, IL, United States
Information Analytics
Date Closed: Apr 1, 2020

UIUC Campus - Fall/Spring/Summer - Software Engineer Intern (Python/AWS)

Champaign, IL, United States
Information Analytics
Date Closed: Apr 1, 2020