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
Research and apply emerging analytics techniques
Nice-to-have
Drive innovation and enhance performance
Collaborate with engineering and digital teams
Stay current on evolving customer needs
Key Requirements
Bachelor’s degree in accredited Mechanical, Electrical, or Computer/Data Science Engineering
Experience developing data-driven engine health and condition monitoring solutions
Proficiency in Python and SQL
Proficiency in statistical and analytical methods
Proficiency in Artificial Intelligence/Machine Learning (AI/ML)
Proficiency in AWS cloud computing
Extensive experience working with SC2, VIMS, PSR, and BDT data sources