Caterpillar, Inc. Data Innovation Lab Part-Time Intern in United States

Data Innovation Lab Part-Time Intern


AnalyticsProfessionals are the data driven, business professionals using quantitativemethods such as data analytics, business process modeling, data mining, andadvanced statistical techniques to solve problems for internal businesspartners and external Caterpillar customers.

Caterpillar isthe world’s leading manufacturer of construction and mining equipment, dieseland natural gas engines, industrial gas turbines and diesel-electriclocomotive.

Our productshave evolved from simple mechanical workhorses to sophisticated, electronicallycontrolled work-site solutions. This transformation, along with our smartfactories and our integrated dealer network, has provided a wealth of Big Datathat is mined and analyzed across various segments such as product development,manufacturing, supply chain, marketing, sales and customer support.

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

As anAnalytics Part-Time Student Intern, you will be immersed in our business dataas well as introduced to analytics tools and techniques, enabling you to provideinsights that drive business decisions. Some of the projects may involveresearch 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).


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


Basic Qualifications

  • Applicantsmust be pursuing a Bachelors, Masters or PhD degree in: Statistics,Mathematics, Computer Science, Business (various), Linguistics, Economics,Information Science,ActuarialScience, Applied Statistics, Business Analytics, Business Intelligence &Analytics, Engineering (various), Computer Science, Economics, Informatics,Information Systems Management, Marketing Analytics, Mathematics, MBA with TechnicalUndergrad, 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.

Caterpillaris not currently hiring individuals for this position who now or in the futurerequire sponsorship for employment visa status; however, as a global company,Caterpillar offers many job opportunities outside the U.S. which can be foundthrough our employment website

Job Information Analytics

Primary Location United States

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

Relocation assistance is not available for this position.

Req ID: 1900003X