Procurement Data Scientist

Career Area:

Technology, Digital and Data

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.

 
Come join the newly formed Maintenance Components & Hydraulics team within RISM. As a data scientist you will provide valuable data analytics to a team of 170+ employees. This will enable the team to develop and execute our category strategies and deliver significant cost savings to Caterpillar. 
 
What You Will Do:  
• Develop and maintain scorecard and reports by consolidating data from multiple sources. 
• Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. 
• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. 
• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies. 
• Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. 
• Assist in Cost savings activities: 
o Coordinate RBM/ABP process – work with peers to understand and develop latest tools 
o Develop cost reporting framework to review monthly results 
o Consolidate all cost savings activities to provide director and strategy manager with visibility and actions to accelerate 
o Collaborate with Cost Management Team on governance and idea generation 
• Assist in maintaining category strategies and source matrices 
• Document procedures and new tools using standard work. 
• Lead change management in implementing procedures and tools. 

Education Requirement:  

A degree in Engineering, Business, or Finance 
 
What Skills You Will Have:  
Business Statistics 

• Applies basic statistical tools to interpret business results 

• Identifies common errors and misinterpretations in data 

• Explains sample size, distributions, and standard deviation 

• Generates and interprets foundational statistical outputs 

 

Accuracy & Attention to Detail 

• Maintains precision while processing large data sets 

• Balances speed with accuracy in task execution 

• Implements cross-checking and quality assurance techniques 

• Promotes best practices for accuracy across teams 

 

Analytical Thinking 

• Defines problems and evaluates their impact 

• Compares alternative solutions using structured methods