Data Scientist

Caterpillar Inc.•Morton, IL

3d•$97,530 - $158,480•Onsite

About The Position

The Data Scientist in Caterpillar’s Product Support and Logistics Division (PSLD) leverages data and analytics tools to develop actionable insights and support business decision-making. The role uses SAS, Power BI, Snowflake, and similar tools to extract, transform, organize, and analyze data; build and maintain shared data tables; and develop analytics solutions. It combines hands-on coding and data development with Power BI dashboards and other reporting tools that make data accessible and meaningful to business partners. The position is based in Morton, Illinois, is 100% onsite five days per week, and is scheduled for first shift, Monday through Friday. It requires up to 10% domestic travel and does not offer relocation or hybrid/remote scheduling. Visa sponsorship is not available.

Requirements

Knowledge of statistical tools, processes, and practices for measuring business results and supporting business decisions.
Understanding of the importance of accuracy and ability to complete tasks with high precision.
Knowledge of analytical techniques and tools, including the ability to identify root causes and develop alternative solutions.
Knowledge of programming concepts and capabilities, with the ability to use tools, techniques, and platforms to write and modify programming languages.
Knowledge of requirements-analysis tools, methods, and techniques, with the ability to elicit, analyze, and document business functionality and non-functionality requirements.

Nice To Haves

Experience with Power BI, SAS, or similar data and analytics tools.
Business or functional experience paired with strong technical capabilities.
Experience using data and technical skills to develop solutions for a business or functional area.
Ability to translate business needs into practical data, reporting, or analytics solutions.
Strong communication skills, including the ability to explain technical concepts to non-technical business stakeholders.
Demonstrated ability to partner closely with the business rather than working solely within an analytics function.
A balance of business acumen, problem-solving, and hands-on technical development skills.

Responsibilities

Extract, transform, and analyze data using SAS and similar analytics tools.
Develop and maintain data tables and datasets within Snowflake.
Write and maintain code to support data analysis and reporting needs.
Design and develop Power BI dashboards and other analytics solutions.
Create data visualizations that translate complex information into meaningful business insights.
Support the development and implementation of new analytics tools and capabilities.
Partner with business stakeholders to understand data and reporting needs.
Maintain and enhance existing analytics, dashboards, and data solutions as business needs evolve.