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.
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 complex algorithms and analytical models
Data mining for engine data collection
Develop and deploy machine-learning models
Collaborate with engineering and digital teams
Apply emerging analytics techniques
Nice-to-have
Drive innovation in analytics capabilities
Communicate technical information clearly
Stay current on evolving customer needs
Provide technical guidance to less experienced engineers
Key Requirements
Bachelor's degree in Engineering
Proficiency in Python and SQL
Experience with Snowflake and/or Oracle databases
Proficiency in AI/ML and AWS cloud computing
Experience with SC2, VIMS, PSR, and BDT data sources