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
create and improve analytics capabilities
apply emerging analytics techniques
develop and deploy machine-learning models
Python and SQL proficiency
AWS cloud computing
Nice-to-have
focus on technical delivery
support Caterpillar machines and external applications
stay current on evolving customer needs
provide technical guidance to less experienced engineers
Key Requirements
Bachelor’s degree in accredited Mechanical, Electrical, or Computer/Data Science Engineering
Extensive experience in Technical Analysis
Extensive experience in Analytical Thinking
Working Knowledge of Domain Knowledge
Working Knowledge of Decision Making and Critical Thinking
Working Knowledge of Effective Communications
Working Knowledge of Technical Excellence
Experience with Snowflake and/or Oracle databases
Proficiency in statistical and analytical methods
Extensive experience with SC2, VIMS, PSR, and BDT data sources