Lead Engineer
Core
Develop predictive maintenance models, reliability assessments, and data-driven solutions for locomotive and engine components to forecast failures and optimize maintenance efficiency.
Role type
Lead Engineer (Reliability Engineering & Data Analytics)
Builds
Predictive maintenance strategies, automated data processing solutions, and operational dashboards for freight rail equipment.
Domain
Rail transportation / Heavy machinery maintenance / Reliability Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
Predictive modeling, statistical analysis, reliability engineering, data analysis, process improvement, automation, stakeholder influence, technical presentation
Preferred skills
Mechanical engineering background, knowledge of diesel engines/locomotive systems, Power BI, Python/R/SQL, Six Sigma certification, manufacturing process knowledge
Technologies
Python, R, SQL, Power BI, Microsoft Excel, Teams
Responsibilities
Acquire and validate data from multiple sources; Develop and maintain predictive models for component performance; Forecast maintenance requirements; Design automated data processing and reporting solutions; Create dashboards for operational decision-making; Collaborate with engineering and maintenance teams to identify reliability risks; Mentor junior engineers; Drive continuous improvement projects for digitization and efficiency.
Seniority
Senior, hands-on IC with mentorship responsibilities