Senior Data Scientist, Cat Foresight

Posted Yesterday
Chicago, IL
Hybrid
113K-183K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Cat Digital uses digital technologies to help Caterpillar Inc. customers build a better, more sustainable world.
The Role
The Senior Data Scientist will design advanced analytics and AI models, optimize data pipelines, and create visualizations to derive actionable insights, focusing on improving fleet uptime and service efficiency.
Summary Generated by Built In
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:
Join the Cat Digital Analytics team and help build the next generation of intelligent digital capabilities that power Caterpillar's enterprise. In this role, you will design advanced analytics, AI agents, and condition‑monitoring models that turn complex equipment, telematics, and service data into actionable insights for users, customers, and internal stakeholders. You will also lead data‑driven innovation through world‑class visualization, modeling, and experimentation that directly improves fleet uptime, service efficiency, and customer value.
What You Will Do:
  • Direct and optimize data gathering, mining, and processing pipelines across large-scale, multi-source datasets; develop and maintain advanced analytical and machine learning models.
  • Explore, develop, and implement semantic and intelligent system capabilities-such as AI agents, natural language interfaces, text analytics, and machine learning applications-to improve user experiences and scalability.
  • Define requirements, scope analysis efforts, and deliver actionable business insights through high-quality, intuitive data visualizations, dashboards, and analytical storytelling.
  • Lead research and experimentation on algorithm optimization, new modeling techniques, and analytic methods to improve accuracy, scalability, and real‑time condition monitoring performance.

What You Will Have:
  • Machine Learning & Intelligent Systems (Extensive): Deep understanding of ML algorithms, AI agents, LLM‑based workflows, and predictive modeling; ability to design, train, deploy, and validate advanced analytical solutions at scale.
  • Programming & Data Engineering (Extensive): Strong proficiency in Python (NumPy, SciPy, Pandas, scikit‑learn, PyTorch/TensorFlow optional), with experience building production‑grade data pipelines and model‑serving components.
  • Data Visualization & Storytelling (Extensive): Expertise in designing insightful, intuitive data visualizations using Power BI, Tableau, Plotly, or similar platforms; ability to communicate complex analytics to technical and non‑technical audiences.
  • Business Statistics & Analytical Thinking (Extensive): Strong statistical foundation and the ability to structure ambiguous problems, identify analytical approaches, and derive measurable, business‑relevant insights.
  • Query & Database Tools (Extensive): Robust experience working with large databases and cloud data environments (AWS, Snowflake); ability to extract, transform, and manipulate data efficiently.

Considerations for Top Candidates:
  • Experience with condition monitoring, telematics analytics, or equipment health modeling.
  • Hands‑on experience building or integrating AI agents, LLM‑powered workflows, or autonomous decision-support systems.
  • Strong background in time‑series modeling, anomaly detection, asset‑health diagnostics, or predictive maintenance.
  • Experience deploying analytics in cloud‑native environments (AWS and Snowflake preferred; Azure acceptable).
  • Familiarity with MLOps, CI/CD, model monitoring, or scalable model deployment.
  • Certifications such as AWS Cloud Practitioner, Azure AI Engineer, AWS Machine Learning Specialty, or equivalent.
  • Demonstrated ability to coach and mentor junior data scientists and lead cross‑functional analytics initiatives.
  • Experience integrating data from diverse business domains into unified analytics solutions.

Additional Information:
This position will have the option to be based out of our Chicago, IL or Peoria, IL offices.
#LI
#BI (used to post on Built In Chicago)
What You Will Get:
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.
About Caterpillar
Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
Summary Pay Range:
$112,710.00 - $183,140.00
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. 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:
February 3, 2026 - February 16, 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.
Not ready to apply? Join our Talent Community.

Top Skills

AWS
Numpy
Pandas
Plotly
Power BI
Python
Scikit-Learn
Scipy
Snowflake
Tableau

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The Company
HQ: Irving, TX
100,000 Employees
Year Founded: 1925

What We Do

Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide, our teams use data, technology, advanced analytics and AI capabilities to help our customers build a better world.

Why Work With Us

The Cat Digital team is at the forefront of Caterpillar’s evolution. We take pride in solving complex problems by building new systems from the ground up. On our team, you’ll leverage data from across our entire enterprise to find solutions that open a new world of possibilities for our customers and dealers. Join us in building a better tomorrow.

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