
Senior Data Scientist
Irving, TXFull-time$113–183K/yrSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Senior Data Scientist analyzes connected field-asset data to identify trends, opportunities, and insights that create business and customer value. The role develops analytical models and actionable recommendations for dealer- and customer-facing teams, supporting applications across Construction Industries, Resource Industries, and Power & Energy. The position works onsite at Caterpillar’s Irving office and requires up to 10% domestic travel.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Irving, Texas
Full time
R0000400558
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.
For Caterpillar, Connectivity means using technology to extract data from our machines and engines and transform it into valuable recommendations and insights to help customers make better, more informed decisions and help Caterpillar make robust products with the lowest total ownership cost. Our products generate and process large amounts of data from sensors, on-board models, and control algorithms in real-time, creating real-world machine usage information to provide condition monitoring and fleet management services.
The Senior Data Scientist will analyze large and complex datasets from Caterpillar’s connected field assets to identify trends, opportunities, and insights that create business and customer value. This role will focus on turning machine and connectivity data into meaningful, actionable recommendations that support better decision-making across the organization.
In this position, you will work closely with dealer- and customer-facing teams to understand business needs, develop data-driven solutions, and translate analytical findings into practical actions. You will support applications across Construction Industries, Resource Industries, and Power & Energy while helping expand how Caterpillar uses connected asset data to improve products, services, and the customer experience.
What You Will Do:
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Analyze data from Caterpillar’s connected field assets to identify machine usage trends, performance issues, and opportunities to improve customer outcomes.
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Develop insights that help dealer- and customer-facing teams proactively identify equipment issues and make more informed recommendations.
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Turn connectivity and machine data into actionable business insights, rather than simply reporting or passing along data.
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Partner across Construction Industries, Resource Industries, and Power & Energy to address real-world equipment and fleet challenges using connected asset data.
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Develop analytical models and data-driven solutions that support condition monitoring, fleet management, and improved product and service decisions.
What You Will Have:
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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.
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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.
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Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
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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.
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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.
Considerations For Top Candidates:
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Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related technical field.
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5–8+ years of experience in data science, advanced analytics, data engineering, or a related field.
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Experience working with large, complex datasets and translating data into actionable business or customer insights.
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Strong experience in Python, SQL, statistical analysis, machine learning, and data modeling.
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Experience developing and deploying AI/ML models, including exposure to Agentic AI, AI agents, or autonomous AI workflows.
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Experience using equipment, IoT, telematics, sensor, or other connected asset data to solve real-world business problems.
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Demonstrated ability to take analytical findings beyond reporting and turn insights into recommendations that business, dealer, or customer-facing teams can act on.
Additional Information:
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This position requires the candidate to work full-time at the Irving, TX office.
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Domestic relocation assistance is NOT available for this position.
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Visa sponsorship is NOT available with this position.
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This position will require up to 10% travel.
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#LI
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.
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Medical, dental, and vision benefits*
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Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
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401(k) savings plans*
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Health Savings Account (HSA)*
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Flexible Spending Accounts (FSAs)*
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Health Lifestyle Programs*
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Employee Assistance Program*
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Voluntary Benefits and Employee Discounts*
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Career Development*
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Incentive bonus*
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Disability benefits
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Life Insurance
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Parental leave
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Adoption benefits
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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.
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 (http://flows.beamery.com/caterpillarinc/talcom) .
There’s more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar.
Our culture, like everything at our company, is made possible by each employee’s contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.
How this job compares
Set against the 4,461 open Data Scientist jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This posting$113–183K/yr
- Texas median$124–208K/yr164 salary ranges
- US median$133–212K/yr3,556 salary ranges
This range's midpoint, $148K, is 12% below the Texas median midpoint ($169K) — in the middle half of Data Scientist salary ranges in Texas.
- Openings
- Olive Jobs lists 255 open Data Scientist jobs in Texas and 4,461 across the US. 6% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 8 years of experience — more than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 3,861 postings).
- Education
- 2,211 of the 4,461 open Data Scientist jobs (50%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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