Analyze large CAT datasets to identify and resolve data quality gaps, build data models, apply ML and NLP techniques, create visualizations to communicate insights, and research algorithm and model optimizations to improve analysis accuracy and effectiveness.
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.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.
Job Summary
Data Scientist with deep knowledge of CAT datasets, driving identification and resolution of data quality gaps through advanced analytics. Translates complex data into clear visual insights to highlight trends and support informed, data-driven decision-making.
What You Will Do:
What you will have:
Consideration for top candidates:
Additional Details:
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.
* These benefits also apply to part-time employees
Visa Sponsorship is not available for this position.
Posting Dates:
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.
Not ready to apply? Join our Talent Community.
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.
Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.
Job Summary
Data Scientist with deep knowledge of CAT datasets, driving identification and resolution of data quality gaps through advanced analytics. Translates complex data into clear visual insights to highlight trends and support informed, data-driven decision-making.
What You Will Do:
- 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.
What you will have:
- 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.
- 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.
- 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.
Consideration for top candidates:
- Expertise in Python & SQL (advanced querying, data manipulation)
- Strong experience in data visualization & storytelling (Power BI/Tableau)
- Hands-on experience with cloud platforms (AWS/Azure/GCP) and modern data warehouses (Snowflake/BigQuery)
- Solid understanding of data engineering fundamentals (ETL, data modeling, pipelines)
- Strong foundation in machine learning and statistics
- Experience in data wrangling and feature engineering
- Strong business acumen and problem-solving skills
- Excellent communication and stakeholder management skills
Additional Details:
- This position requires the candidate to be in Chicago, IL, Peoria, IL, Denver, CO or Dallas, TX
- Relocation assistance is NOT available for this position
- Visa sponsorship is NOT available with this position
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
Visa Sponsorship is not available for this position.
Posting Dates:
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.
Not ready to apply? Join our Talent Community.
Caterpillar Chicago, Illinois, USA Office
In the heart of Chicago's lively West Loop area, we have easy access to public transport, great bars and restaurants, and an awesome office roof deck.
Similar Jobs at Caterpillar
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Lead technical development and deployment of generative-AI and ML models for condition monitoring and predictive maintenance. Design GPU-accelerated anomaly detection and digital twins, optimize deep learning for NVIDIA GPUs, enable edge/Jetson deployments, integrate multi-modal telematics data, build RAG-enabled LLM diagnostics, and lead cross-functional projects and stakeholder communications.
Top Skills:
AutoencodersAWSAzureCan Bus J1939Digital TwinsFine-TuningGansGenerative AiGit/GithubGCPGpu-Accelerated ComputingHigh Performance ComputingLlmsNumpyNvidia Gpu ArchitectureNvidia JetsonPandasPrompt EngineeringPythonRag (Retrieval-Augmented Generation)ScipyTelematicsXgboost
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Lead technical development and deployment of generative-AI and ML models for condition monitoring and predictive maintenance. Design GPU-accelerated anomaly detection and digital twins, optimize deep learning for NVIDIA GPUs, enable edge/Jetson deployments, integrate multi-modal telematics data, build RAG-enabled LLM diagnostics, and lead cross-functional projects and stakeholder communications.
Top Skills:
AutoencodersAWSAzureCan Bus J1939Digital TwinsFine-TuningGansGenerative AiGit/GithubGCPGpu-Accelerated ComputingHigh Performance ComputingLlmsNumpyNvidia Gpu ArchitectureNvidia JetsonPandasPrompt EngineeringPythonRag (Retrieval-Augmented Generation)ScipyTelematicsXgboost
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Lead product vision and roadmap for an enterprise dependency management system. Translate business needs into prioritized backlog, collaborate with stakeholders and developers, analyze process data, manage user access, and document/train users to ensure successful system adoption and reporting.
Top Skills:
Power BITableau
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

