Data Scientist

Caterpillar Inc.•Morton, IL

10d•$97,530 - $158,480•Onsite

About The Position

The Data Scientist is a technical contributor to data-driven solutions supporting business and analytical needs for Dealers’ aftermarket parts inventory management within the PIC system. The role contributes to production processes, business intelligence reporting, data architecture, predictive modeling, analytical tool development, and ad hoc analysis. Tools may include Power BI, Dataiku, Python, SAS, SQL, simulation tools, and generative AI. The position is based onsite in Morton, Illinois, with no relocation assistance and no hybrid or remote schedule. It is a first-shift, Monday–Friday role requiring up to 10% domestic travel. Caterpillar’s Product Support and Logistics Division supports aftermarket parts distribution, integrated logistics, and global services for Caterpillar dealers and customers.

Requirements

Knowledge of business statistics and the ability to use statistical tools and processes to inform business decisions.
Accuracy and attention to detail, including the ability to complete tasks precisely.
Knowledge of analytical techniques and tools, with the ability to identify root causes and develop alternative solutions.
Knowledge of machine-learning principles, technologies, and algorithms, and the ability to develop, implement, and deliver related systems, products, and services.
Knowledge of programming concepts and the ability to use tools, techniques, and platforms to write and modify code.
Knowledge of data management systems and the ability to search, extract, and format data.
Knowledge of requirements-analysis methods and the ability to elicit, analyze, and document business and non-functional requirements for system or software development projects.

Nice To Haves

Bachelor’s degree in supply chain management, industrial engineering, data analytics, data science, information systems, computer science, mathematics, statistics, economics, or a similar technical subject.
4 or more years of relevant professional experience.
Hands-on experience with Snowflake and SQL for data management, analysis, and reporting.
Experience developing solutions using Python.
Strong Power BI development experience, including creating effective reports and data visualizations.
Experience with forecasting, demand planning, inventory planning, or related analytical work.
Knowledge of statistical analysis, predictive modeling, machine learning, or data science methodologies.
Experience evaluating, testing, or developing generative AI solutions.
Strong problem-solving skills and a continuous-improvement mindset.
Ability to learn new technologies and concepts quickly while adapting to changing priorities.
Ability to translate complex analytical findings into clear, actionable recommendations.
Strong written and verbal communication skills and ability to partner with technical teams, business stakeholders, customers, and dealer-facing teams.

Responsibilities

Own, maintain, and improve production processes and analytical solutions supporting parts inventory planning.
Monitor and optimize production programs to improve efficiency, reliability, and performance.
Maintain and enhance analytical processes using SAS, Python, Dataiku, and simulation technologies.
Develop, maintain, and enhance Power BI reports, dashboards, and data visualizations.
Support maintenance and continuous improvement of data architecture.
Analyze parts inventory and provide actionable business insights.
Respond to ad hoc analytical requests from business and technical stakeholders.
Develop reporting, visualization, and decision-support tools.
Conduct project-based research, simulations, predictive modeling, and other advanced analytics.
Evaluate opportunities to use emerging technologies, including generative AI, in analytical solutions.
Support process improvement initiatives and contribute to the design and implementation of future analytical solutions.
Partner with the broader technical team on development projects and help create capacity for new solution development.