Werkstudent Data Analytics (m/w/d)

Posted:
10/22/2024, 5:00:00 PM

Location(s):
Bavaria, Germany

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Career Area:

Enterprise Cross Functional

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Job Description 

  • Collaborating with product design and controls team to define validation requirements. 

  • Setup analysis framework based-on requirements. 

  • Post-processing and analysis of acquired test / field data. 

  • Preparing and troubleshooting of test units and / or configuration of Datalogger/SuperComm for machine testing. 

  • Documenting test results in technical reports. 

  • Communicating results and conclusions. 
     

Skills 

  • Programming experience in following: Python (NumPy, SciPy, Pandas, etc.) Matlab, C/C++ programming. 

  • Experience with the following: Snowflake, Tableau / Power BI and writing API’s for deployment. 

  • Basic statistical background is necessary and advanced analysis capabilities based on Machine Learning etc. is desired. 

  • Data acquisition system (Dewesoft or SuperComm) configuration setup is desired. 

  • Good communication and presentation skills. 

  • Fluent in English and German (both written and oral - Level A2-B1). 

Posting Dates:

Oktober 23, 2024 - Dezember 30, 2025

Caterpillar is an Equal Opportunity Employer (EEO).

Not ready to apply? Join our Talent Community.

Caterpillar

Website: https://caterpillar.com/

Headquarter Location: Peoria Heights, Illinois, United States

Employee Count: 10001+

Year Founded: 1925

IPO Status: Public

Last Funding Type: Grant

Industries: Construction ⋅ Machinery Manufacturing ⋅ Manufacturing ⋅ Mechanical Engineering