Staff Analytics Engineer
Core
Establish data-driven, model-based, and hybrid approaches to implement analytical algorithms for Reliability, Maintenance, and Design (RM&D) of rail equipment.
Role type
Staff Analytics Engineer (Predictive Maintenance & Reliability)
Builds
Predictive algorithms for component health and failure prediction for rail systems
Domain
Rail transportation, freight, and transit; predictive maintenance and reliability engineering
Deliverable
production ML models
Required skills
Python, R, data modeling, machine learning, statistical modeling, predictive modeling, project management, Six Sigma
Preferred skills
Large Language Models (LLMs), Generative AI, prompt engineering, AI agents, remote monitoring systems, manufacturing processes
Technologies
Python, R
Responsibilities
Evaluate and clean large data sets, develop analytics-based algorithms for predicting component health or failures, manage projects to completion, communicate technical accomplishments through publications
Seniority
Staff, hands-on IC with strategic impact