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Big Data Engineering Intern

Project Name: InteRRIS®, EHMS users and customers, and general research support.

Preferred Degree: Industrial Engineering, Industrial & Systems Engineering, or Operations Research.

About TTCI:
Located near the foot of the beautiful Rocky Mountain Front Range, TTCI is home to world-renowned experts in all facets of railway technology. TTCI's unrivaled capabilities are leading the way to a safer future for America's railroads. Our Vision is to be the provider of choice for advancing railway safety and technology. Our Mission is to provide highly effective and efficient railway research, testing, training, and technical support — and our people are at the heart of that Mission. Every day, our team works together in a culture of respect, integrity, and family spirit to improve the future of rail.
 
Project Description:
The projects’ general objectives include collecting, processing, analyzing, and reporting rail vehicle performance (including condition monitoring and defect detection data), wayside detector, and tracking inspection and maintenance data. Projects also include data analysis support of research projects. These projects are funded by TTCI’s Strategic Research Initiative (SRI) program or through the Federal Railroad Administration (FRA).
 
Primary Duties:
Support data retrieval, review, collection, and analysis of these data and reporting on results.

Minimum Qualifications:
·Pursuing a bachelor’s or master’s degree in Industrial Engineering, Industrial & Systems Engineering, or Operations Research.
·Extensive experience in exploratory data analysis (EDA) and subjective statistical test analysis (coursework, research projects, or job experience).
· Experience using Microsoft Office software.
·A strong foundation using Minitab, Statistica, Microsoft Excel (data organization and analysis, functions, charts/plots, and basic programing) or similar using R, Python, or similar analysis software.
·Willingness to learn about railroad operations, rolling stock and maintenance concepts, literature review, multi-tasking, and strong communication & leadership skills.
·Must be fully vaccinated or be willing to receive the full COVID-19 vaccination by the date of hire to be considered. Proof of vaccination is required. *Request for reasonable accommodation for a disability and/or religious beliefs is permitted.
 
Preferred Qualifications:
·Working towards or having a master’s degree. Coursework would include engineering statistics, quality control & reliability, operations research, operations planning, project management, data analysis, and scheduling & sequencing. Extensive experience using Minitab, Statistica, R, Python, and/or MATLAB
 
Length of service:
These projects are ongoing. The intern’s term can be for the summer only (end August 2022) or, if available, continue part-time through the fall (end December 2022). This position is allocated for and is expected to consume 100% of the intern’s work hours.

Project Deliverable:
Assist project engineers with the following:
· Analysis/observation/interpretation of rail vehicle performance data.
· Development of test plans and procedures.
· Analysis/observation/interpretation of test data.
·Drafting portions of the analysis reports and presentations.
 
Working Environment and Level of Physical Activity:
The conditions herein represent those that an employee must meet to perform this job's essential functions successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.
 
·Environment: Office and field environments. Must be able to walk in an industrial and/or railroad environment, including uneven surfaces such as ballast.
·Vision: See in the normal visual range with or without correction; vision sufficient to read computer screens and printed documents.
·Hearing: Hear in the normal audio range with or without correction.
 

Benefits Overview:

·        401(k) Program with company match
·        Family Atmosphere with a Great Work-Life Balance
·        Opportunity for Growth and Development