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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist, Cat Foresight - **Company:** Caterpillar - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $112,710.0 - $183,140.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Computer Programming, Continuous Integration, Information Engineering, Data Integration, Data Visualization, Monitoring of Systems, Data Intelligence, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, Azure Machine Learning, SciPy, Tableau (Software), Pytorch, Large Language Models, Snowflake, Pandas, Scikit Learn, Plotly, Machine Learning Operations, Text Analysis, Data Pipelines, Database Tools and Utilities - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e7bbb7516c97c777 ## About the Role * 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. ## Description Join the Cat Digital Condition Monitoring 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. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Vectorize all the things! 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