Contribute to the conception, development, and design of complex algorithms, analytical models, and applications that leverage product data from field and lab
Job Summary
Contribute to the conception, development, and design of complex algorithms, analytical models, and applications that leverage product data from field and lab.
Develop data mining processes and tools for engine data collection, aggregation, feature extraction, analytics modeling, and reliability/durability forecasting to support engineering design, simulation, CPI, and NPI.
Develop and deploy machine-learning-based Engine and Aftertreatment Condition Monitoring Prioritized Service Event (CM-PSE) models and grow services revenue.
Matching Summary
Contribute to the conception, development, and design of complex algorithms, analytical models, and applications that leverage product data from field and lab.
Salary
$112,710.00 - $169,060.00
Skills & Requirements
Must-have
Develop data mining processes and tools
Develop and deploy machine-learning models
Leverage product data from field and lab
Apply emerging analytics techniques
Nice-to-have
Enhance performance, reliability, and durability
Support Caterpillar machines and external applications
Contribute to sustainability initiatives
Key Requirements
Bachelor's degree in accredited Mechanical, Electrical, or Computer/Data Science Engineering
Experience with Python and SQL
Experience with data visualization tools (Tableau or Power BI)
Experience with Snowflake and/or Oracle databases
Proficiency in AI/ML and AWS cloud computing
Extensive experience with SC2, VIMS, PSR, and BDT data sources