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.
At Caterpillar, we work to help our customers build a better world. Without our team of talented, bright and driven individuals, we wouldn't be the Caterpillar we are today. Now, this is your chance to join our team and do work that matters. We want you to help us enable customer success, make progress possible around the world and help our communities grow and thrive. We are looking for a dynamic, organized self-starter to join our Product Support and Logistics Division as a Data Scientist in Morton, IL.
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. PSLD is responsible for the worldwide distribution of Cat aftermarket parts, integrated logistics, and global service to develop and support our global dealer network and customers.
We're committed to our customers, who build a better world with our products, services and solutions. We understand and show the value of why they should always choose us. We're exploring new ideas and opportunities -innovating to discover the breakthroughs necessary for tomorrow's growth.
Job Summary:

• As a Data Scientist, you will have the opportunity to work both independently and with a cooperative team on complex projects that may span multiple infrastructure components or applications. You will develop your professional network and leadership skills, assisting in the creation and support of AI/ML/Automation Solutions that enable Caterpillar success. Further, you will contribute real value by developing, integrating, and/or supporting in-house and purchased applications or infrastructure solutions to solve business problems. You will define the relationships, flows and implementation of business (processes/activities/functions, information), applications, data and technology in the enterprise and the transitional process necessary for implementing technology in response to changing business needs.

Additional Info:

• This role is located in Morton, IL and does not offer relocation
• This role requires up to 20% domestic travel

What You Will Do:

• Analyze the data to discover patterns & trends
• Perform Descriptive, Predictive & Prescriptive Data analytics
• Collaborate with Data Engineers, Functional and Business Teams
• Monitor and Support Production Models. Communicate to business partner issue impact and resolution. Handle business partner inquiries, coordinating the resolution with the various support groups

What You Have (Required Skills):

• 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.
• Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• 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.

What Will Put You Ahead (Preferred Skills):

• Overall, 5-7 years' experience with a minimum of 3 years' experience in Data Science
• Should have expertise in Data Analysis, Data Visualization, Statistical Modelling, Machine Learning and Deep Learning, Agentic Framework
• Proficiency in Python and SQL
• Working experience in LLMs and Agentic Framework
• Sound knowledge in Business Intelligence, Big Data & Cloud database concepts like AWS/Azure Databricks
• Have strong focus on continuous learning. Certifications in the related tools & technologies will be added advantage
• Relevant master's or bachelor's degree
• Excellent communication (written and oral) and interpersonal skills
• Candidate should be flexible to work in rotational shifts including night shifts
• Client/Business partner facing skills, ability to run workshops and articulate the business needs
• 3+ years of production experience working in Data Science, Machine Learning within supply chain, Logistics, Packaging, Transportation, Procurement or other high data volume domains
• Experience / knowledge with large language models (LLMs) and AI agents (e.g., Lang Chain).
• Proficiency in developing applications with at least one compiled language - Streamlit, Gradio
• Solid production experience using Python (including Various Libraries), PySpark and SQL and expert level production experience with Apache Spark, MLLib
• Experience using Azure/AWS to build end to end distributed technical solutions and as well as general cloud native applications.
• Knowledge of NLP techniques such as text classification, summarization, and embeddings.
• Exposure to MLOps practices and tools (e.g., MLflow, Docker, Kubernetes).
• Strong fundamentals in problem solving, algorithm design and complexity analysis. Hands-on experience with web APIs.
• Experience with data wrangling, feature engineering, and model evaluation techniques.
• Familiarity with DSML platform (Dataiku / Databricks), version control systems (Git) and cloud platforms (Azure).
• Knowledge of NLP techniques such as text classification, summarization, and embeddings.
• Exposure to MLOps practices and tools (e.g., MLflow, Docker, Kubernetes).
• Experience with data visualization tools (e.g., Plotly, Dash, Power BI).
• Experience with cloud-native architecture and container orchestration (particularly Docker and Kubernetes) preferred.
• Experience utilizing Git, Azure DevOps, MLflow CI/CD, and MLOps frameworks for best practice code management and collaboration.
• Experience with Searching Technology like Elastic Search and something similar is a plus
• Dashboarding and data visualization tools is a plus. Familiarity with streaming frameworks as well as relational and streaming analytics frameworks is a plus.
• Broad knowledge of relational and non-relational databases, caching technologies, serialization formats, and their use in designing and optimizing ML systems is required.
• Experience in Packaging Engineering or Logistics or Supply chain Domain knowledge
• Design, train, and optimize machine learning or deep learning models relevant to packaging or logistics or supply chain or Engineering design related big data, such as defect detection, quality prediction, optimization modeling, or sustainability assessments.
• Experience of production level deployed projects using AI Camera or Computer Vision System
• Experiments with algorithms and frameworks such as TensorFlow, PyTorch, and Scikit‑learn, PyTorch3D, Open3D
• Packages models into APIs or microservices for seamless integration with packaging systems or business platforms.
• Deploys AI/ML models into cloud, edge, or on‑premises environments to support real‑time insights and automation.
• Builds user interfaces or dashboards for visualizing AI outputs or interacting with deployed models.
• Handles backend logic and integrates AI services with core packaging or logistics or Supply chain or engineering or other business applications.
• Tracks and evaluates model performance post‑deployment to ensure stability and accuracy.
• Implements model retraining strategies, error‑handling mechanisms, and scalability improvements.

What You Will Get:

• Through it all, we are one team- creating and delivering world-class components and solutions superior to the competition.
• Learn more about the Caterpillar Experience.

Summary Pay Range:
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

• Medical, dental, and vision benefits*
• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
• 401(k) savings plans*
• Health Savings Account (HSA)*
• Flexible Spending Accounts (FSAs)*
• Health Lifestyle Programs*
• Employee Assistance Program*
• Voluntary Benefits and Employee Discounts*
• Career Development*
• Incentive bonus*
• Disability benefits
• Life Insurance
• Parental leave
• Adoption benefits
• Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers.
Posting Dates:
March 12, 2026 - March 26, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
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