Caterpillar Inc. · 6 hours ago
Senior Data Scientist, Cat Foresight
Chicago, IL
Full-time
Hybrid
Mid, Senior Level
$113K/yr - $183K/yrCaterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, committed to building a better, more sustainable world. In this role, you will join the Cat Digital Analytics team to design advanced analytics and AI capabilities, optimizing data gathering and processing to deliver actionable insights for users and stakeholders.
ConstructionMachinery ManufacturingManufacturingMechanical Engineering
No H1B
Responsibilities
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
Qualification
Required
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
Strong proficiency in Python (NumPy, SciPy, Pandas, scikit‑learn, PyTorch/TensorFlow optional), with experience building production‑grade data pipelines and model‑serving components
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
Strong statistical foundation and the ability to structure ambiguous problems, identify analytical approaches, and derive measurable, business‑relevant insights
Robust experience working with large databases and cloud data environments (AWS, Snowflake); ability to extract, transform, and manipulate data efficiently
Preferred
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
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
Company
Caterpillar Inc.
For 100 years, we’ve been helping customers build a better, more sustainable world.
Founded in 1925
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$3.51BKey Investors
US Department of EnergyAdvanced Propulsion Centre UK
2025-08-28Post Ipo Debt· $3.5B
2024-10-31Grant· $5.04M
2019-06-23Grant
Leadership Team
George Moubayed
Chief Sustainability and Strategy Officer / Senior Vice President Enterprise Strategy Division
E
Eric Sporre
Vice President & Global Chief Information Security Officer (CISO)
Recent News
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