Job Description

Job Summary 

The Data Scientist I – Reliability and Maintenance Planning supports reliability, maintenance planning, and operational decision-making across Fleet and Equipment at TTX.

This role focuses on developing statistical and machine learning models to improve component reliability, optimize maintenance strategies, and enhance fleet performance. The position works with complex operational datasets (e.g., detector, movement, and billing data) and partners closely with Fleet, Engineering, Supply Chain, and other business stakeholders.

While the primary focus is reliability analytics, the role will also gain exposure to modern analytics platforms including Microsoft Fabric, Power Platform, and other AI-enabled solutions as part of TTX’s evolving data ecosystem.

This role is ideal for candidates interested in applying data science to real-world operational and reliability challenges in an asset-intensive environment.

Responsibilities 

• Reliability Modeling and Predictive Analytics (Primary)
  • Develop and evaluate component failure  and reliability models using  statistical and machine learning techniques

  • Apply and benchmark methods such as Weibull analysis, survival modeling, and predictive ML approaches

  • Analyze operational datasets (detector, billing, movement/location) to identify failure patterns and risk drivers

  • Support maintenance strategy optimization and predictive maintenance initiatives

• Business Partnership 
  • Partner with Fleet, Engineering, and Supply Chain stakeholders to translate business problems into analytical solutions
  • Support benchmarking and evaluation of supplier performance and maintenance strategies
  • Communicate insights clearly through dashboards, presentations, and documentation
  • Gain strong working knowledge of rail industry and associated data including billing, detector, movement/location, etc.
• Data Analysis and Visualization 
  • Perform exploratory data analysis and feature engineering on complex, real-world operational datasets 
  • Clean and reconcile data across multiple systems and sources 
  • Develop reproducible datasets and modeling workflows
  • Build Power BI dashboards and semantic models to deliver insights and support decision-making 
  • Assist in development of corporate metrics and program performance reporting
• Platform and Automation (Secondary)

  • Contribute to automation of analytical workflows using Power Automate, PowerApps, or Python 

  • Gain exposure to Microsoft Fabric for data workflows and model integration 

  • Support development of AI-enabled solutions (e.g., Copilot Studio, Fabric Data Agents) as part of team initiatives

Qualifications

• Required
  • Bachelor’s degree in Data Science, Statistics, Engineering, Industrial Engineering, Business Analytics Asset Management, Artificial Intelligence, or related field 
  • 2+ years of professional experience in: 
    • Data science, analytics, OR reliability/predictive analytics
  • Experience with: 
    • Python (pandas, scikit-learn or equivalent)
    • SQL for data extraction and transformation
    • PowerBI or other visualization tool 
    • Messy, real-world operational data 
    • Analysis of large, multi-source datasets 
  • Strong analytical and problem-solving skills 
  • Strong verbal and written communication skills 
• Strongly Preferred
  • Experience with: 
    • Reliability modeling (Weibull, survival analysis, failure modeling)
    • Time series forecasting or predictive maintenance
    • Statistical modeling and hypothesis testing
    • Industrial, transportation, or asset-heavy data environment
    • PySpark and AutoML 
    • Git/AzureDevOps and version control 
    • Basic understanding of data engineering concepts like ETL pipelines and CICD 
• Nice to Have
  • Experience with:
    • Azure Dev Ops 
    • Microsoft Fabric 
    • Microsoft Power Platform (Copilot Studio, Power Automate, Power Apps)
    • Microsoft Foundry 
• Knowledge and understanding of railcar  data and reporting are strongly preferred such as industry detector data, billing, etc. 

PHYSICAL JOB REQUIREMENTS

(The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.)

Performs work in general office environment with a moderate noise level. While performing the duties of this job, the employee is regularly required to talk, hear, or sit (remain stationary within work area). The employee is frequently required to use hands to finger, handle, or feel. The employee is occasionally required to move about (stand, walk) and reach with hands and arms. The employee must occasionally lift and/or transport up to 10 pounds. Correctable vision required for close and color vision and the ability to adjust focus (ability to adjust eye to bring an object into sharp focus).

The above job description is intended to describe the general content of and requirements for the performance of this job.  It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.