Senior Data Scientist

Caterpillar Inc.•Morton, IL

2d•$112,710 - $183,140•Onsite

About The Position

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. Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you’re joining a global team who care not just about the work we do – but also about each other. We are the makers, problem solvers and future work 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. Our Product Support and Logistics Division (PSLD) is one of the most innovative divisions within Caterpillar. In PSLD, as within all of Caterpillar, our priority is our customers and helping them build a better world. We touch nearly every element of the services value stream. PSLD is responsible for Aftermarket Parts Distribution of Cat Parts, Integrated Logistics and Global Services supporting Caterpillar dealers and customers. Our teams work together in critical areas that leverage digital capabilities, technology and operational excellence. As a Senior Data Scientist, you will apply your expertise in quantitative analysis, data management, workflow automation, modeling, and data visualization as a key team lead on project teams solving complex business problems. This position is a part of the Caterpillar Inventory Management Research Team, which uses quantitative methods such as business simulations, data mining, machine learning, and advanced statistical techniques to solve problems. Additional Information: This role is located in Morton, IL and does not offer relocation or sponsorship This role is 1st Shift: Monday through Friday This role is 100% on-site with no opportunities for hybrid or remote schedules This role requires up to 10% Domestic travel

Requirements

Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Nice To Haves

Bachelor’s degree or higher in a quantitative or technical field
5+ years of professional experience applying quantitative analysis
Strong proficiency in Python, R, SAS, SQL, and/or Dataiku for statistical modeling and machine learning
Knowledge of key principles, technologies, and algorithms, with ability to develop, implement, and deliver ML solutions
Experience with AI and agentic/LLM tools such as Copilot Studio, Snowflake Cortex, Sidekick, or LangChain
Skilled in automation and app‑building tools (Power Automate, Power Apps, Excel VBA)
Proficiency in data visualization tools like Power BI or Tableau
Strong written, verbal, and digital communication skills, including data‑driven storytelling
Experience in inventory management or parts‑related operations
Demonstrated teamwork, initiative, and strong interpersonal skills
Passion for big data, research, analytics, and solving complex problems

Responsibilities

Conduct analytics‑driven research to support project teams
Use tools like Python, R, SAS, SQL, and Dataiku to build models and solve business problems
Perform statistical modeling and analyze parts demand and inventory trends
Improve existing inventory optimization methods and develop new ones
Run and evaluate inventory management simulations
Build Power BI dashboards for reporting and exploratory analysis
Perform ad‑hoc data processing, analysis, and visualization
Develop and refine large‑scale solutions for complex business environments
Lead AI automation and agentic AI initiatives to reduce manual work and speed up workflows
Provide executive‑level S&OP data analysis to support decision‑making
Build advanced forecasting solutions using service event data and other forward‑looking signals
Develop expertise in inventory management systems and parts management practices
Clearly communicate complex analysis and technical concepts to stakeholders and internal teams