Senior Data Scientist at Caterpillar in Peoria, AZ

Senior Data Scientist Location: Peoria, Illinois 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, the impact of data goes far beyond dashboards. As a Senior Data Scientist, you’ll help solve complex, real‑world problems that influence how we procure, plan, and operate on a global scale. Your work will turn data into insights leaders trust and use to make better decisions. This role is ideal for an experienced, hands‑on data scientist who enjoys working end‑to‑end, from shaping analytical approaches, to building robust models, to ensuring solutions are adopted and deliver real business value. You’ll partner closely with procurement, finance, digital, and operations teams to bring analytics into production. What You Will Do Lead analytics initiatives by translating business problems into analytical approaches, models, and actionable insights. Initiatives include critical cost analytics solutions and, S2C and P2P solutions using ML / AI or any relevant solution. Develop, validate, and maintain predictive models using machine learning and statistical methods aligned to business needs. Build and manage analytics‑ready datasets by designing ETL pipelines and integrating data sources (SQL, Snowflake). Create executive‑ready dashboards and decision tools (Power BI) that support data‑driven leadership decisions. Partner cross‑functionally with Procurement, Finance, Digital/IT, and Operations to deploy and operationalize analytics solutions. Apply data governance and operational best practices to ensure reliable, scalable analytics. Use modern engineering practices (Git, CI/CD, MLOps) to improve solution quality and sustainability. Mentor and guide others on analytical and technical approaches. What You Have Strong foundation in machine learning and statistical modeling, including model development, validation, and monitoring. Proficiency in Python and SQL for analytics, data pipelines, and model development. Experience working with cloud‑based analytics platforms and production data environments. Ability to translate complex analytical concepts into clear, business‑focused insights. Experience building decision‑oriented dashboards and visualizations. What Will Set You Apart Experience operationalizing machine learning solutions, including MLOps, CI/CD pipelines, and model monitoring. Strong SQL and Snowflake experience supporting ETL and analytics datasets. Hands‑on experience with techniques such as time series, clustering, tree‑based models, GLMs, or neural networks. Experience with Large Language Models (LLMs) or Natural Language Processing (NLP) use cases. Familiarity with data governance, enterprise analytics environments, and value realization. Proven ability to drive business adoption and ROI from analytics solutions. Education / Experience This role typically requires demonstrated proficiency in data science or advanced analytics applied in complex, business‑facing environments. Qualified candidates will have: Experience delivering analytics or machine learning solutions from concept through deployment and adoption. Experience working independently on moderately complex to complex problems with broad business impact. A strong analytical foundation developed through formal education, equivalent professional experience, or a combination of both. Relevant backgrounds may include data science, computer science, engineering, statistics, mathematics, economics, or similar quantitative disciplines. Equivalent, practical experience will be considered. Additional Information Peoria, IL Sponsorship is not available Relocation assistance will be provided for those who qualify Travel: Approximately 10% About Caterpillar For more than a century, Caterpillar has helped build a better, more sustainable world. With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company’s primary business segments: Power & Energy, Construction Industries and Resource Industries are solving customers’ toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team. Learn more at www.caterpillar.com. 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 Posting Dates: April 30, 2026 - May 14, 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.