4 engineer scientist jobs at 2 companies in Peoria, IL

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Aftermarket Insights Sales Data Scientist
Peoria, Illinois, United States
$89k-$134k/yr OnsiteFull Time
Caterpillar
CaterpillarNYSE: CAT: Manufactures construction and mining equipment, engines, and gas turbines.
2+ YOEMaster's in engineering or related field plus 2 years aftermarket product support in data analytics/engineering; experience with Python, SQL, Power BI, MWAA, EC2, Snowpark, stored procedures, GitHub, Azure DevOps, Microsoft Visual Studio, and Alteryx.
Python, Structured Query Language (SQL), Power BI, Managed Warehouse for Apache Airflow (MWAA), EC2, Snowpark, Stored Procedures, GitHub, Azure DevOps, Microsoft Visual Studio, Alteryx
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Aftermarket Insights Sales Data Scientist
Peoria, Illinois, United States
$89k-$134k/yr OnsiteFull Time
Caterpillar
CaterpillarNYSE: CAT: Manufactures construction equipment, mining machinery, and industrial engines.
2+ YOEMaster's in engineering or related field plus 2 years experience in aftermarket product support in data analytics/engineering. Experience with Python, SQL, Microsoft Power BI, MWAA, EC2, Snowpark, stored procedures, GitHub, Microsoft Azure DevOps, Microsoft Visual Studio, and Alteryx.
Python, Structured Query Language (SQL), Microsoft Power BI, Managed Warehouse for Apache Airflow (MWAA), EC2, Snowpark, Stored Procedures, GitHub, Microsoft Azure DevOps, Microsoft Visual Studio, Alteryx
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Lead Data Scientist - Gen AI
Bloomington or Dunwoody or Richardson or Tempe
$97k-$142k/yr HybridFull Time
State Farm
State Farm: Provider of auto, home, life, and health insurance.
3+ YOEMaster's or PhD in analytics/engineering with 3+ years predictive modeling; Python, PyTorch; GenAI; end-to-end ML production; IDEs and cloud ML tools; strong communication.
Python, PyTorch, GenAI, AWS SageMaker, IntelliJ, VS Code, Linux
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Lead Data Scientist – Gen AI for Condition Monitoring Analytics
Chicago or Peoria
$128k-$209k/yr OnsiteFull Time
Caterpillar
CaterpillarNYSE: CAT: Manufactures construction equipment, mining machinery, and industrial engines.
8+ YOEExpertise in generative AI/LLMs (RAG, fine-tuning, prompt engineering), anomaly detection and time-series models, Python (NumPy, SciPy, pandas), GPU/NVIDIA tooling, telematics (J1939), cloud platforms, and extensive applied ML experience (typically 8+ years).
XGBoost, autoencoders, GANs, Python, NumPy, SciPy, pandas, NVIDIA, NVIDIA Jetson, GPU, J1939, Retrieval-Augmented Generation (RAG), AWS, Azure, Google Cloud, GitHub, Raspberry Pi