Data Scientist: AI, ML & IoT Analytics

Koitecc Solutions; Chicago, Northern (IL, KY); Hybrid; USD 89,000 - 145,000; Full time

Benefits offered by this job

Health benefits

PTO

401(k) plan

Tuition reimbursement

Parental leave

Life Insurance

Job summary

Caterpillar Inc. is seeking data-focused professionals in Chicago and Illinois regions to build AI and analytics solutions for asset management, equipment health prediction, and operations optimization.

The role emphasizes collaboration with engineers and data scientists, applying machine learning, Generative AI, and IoT data to improve customer outcomes. You will work with time-series data, telemetry, and digital applications, contributing to reliability and performance improvements across

Qualifications

• Business statistics knowledge and ability to use statistical tools to describe business results
• Analytical thinking and problem solving
• Machine learning knowledge and model development
• Programming languages understanding and application
• Query and database access knowledge
• Requirements analysis and elicitation

Responsibilities

• Develop models to power asset management solutions using ML, deep learning, and statistics-based analytics on time-series sensor data
• Evaluate emerging technologies and new product services and platforms
• Use Generative AI to develop and implement solutions including model training, evaluation, and prompts
• Ensure reliability monitoring, incident response, automation, and continuous improvement
• Plan and test global telematics device programs and connectivity
• Provide digital technical support for Caterpillar digital applications and products

Job description

Caterpillar Inc. is seeking data-focused professionals in Chicago and Illinois regions to build AI and analytics solutions for asset management, equipment health prediction, and operations optimization.

The role emphasizes collaboration with engineers and data scientists, applying machine learning, Generative AI, and IoT data to improve customer outcomes. You will work with time-series data, telemetry, and digital applications, contributing to reliability and performance improvements across