As a Lead Data Scientist, you will develop and optimize generative AI models, conduct algorithm research, experiment with different approaches, and mentor junior team members.
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.
Role Definition:
Join Caterpillar as a Lead Data Scientist in a team responsible for bringing world class GenAI capabilities to our products and services
Responsibilities:
What you will have:
Top Candidates will have:
Additional Details:
This position has the option to be based out of either our Chicago, IL, Peoria, IL, or Irving, TX (Dallas) offices.
#LI
#BI
Summary Pay Range:
$126,000.00 - $204,720.00
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 available for eligible applicants.
Posting Dates:
August 12, 2025 - August 24, 2025
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.
Role Definition:
Join Caterpillar as a Lead Data Scientist in a team responsible for bringing world class GenAI capabilities to our products and services
Responsibilities:
- Model Development: Designing, implementing, and optimizing models used in generative AI solutions
- Algorithm Research: Staying updated with the latest advancements in AI and machine learning algorithms and integrating them into the team's projects.
- Experimentation: Conducting experiments to test the performance of different models and approaches, and iterating based on the results.
- Research and Implementation: Agentic GenAI solution research and best approach to implement solutions
- Training and Mentorship: Providing guidance and mentorship to junior data scientists and other team members.
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.
Top Candidates will have:
- Experience with Python libraries such as LangGraph, and LangChain
- Experience with AWS Sagemaker or similar
- Ability to evaluate generated content from Large-Language Models (LLM)
- Machine Learning
- Computer Vision
Additional Details:
This position has the option to be based out of either our Chicago, IL, Peoria, IL, or Irving, TX (Dallas) offices.
#LI
#BI
Summary Pay Range:
$126,000.00 - $204,720.00
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 available for eligible applicants.
Posting Dates:
August 12, 2025 - August 24, 2025
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.
Top Skills
Aws Sagemaker
Langchain
Langgraph
Python
Caterpillar Broomfield, Colorado, USA Office
Broomfield, CO, United States
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