Data Scientist I

TTX Company; Charlotte (NC); On-site; USD 70,000 - 95,000; Full time

Benefits offered by this job

Paid Time Off

Health benefits

Dental benefits

Vision benefits

401(k) with company match

Job summary

TTX Company in Charlotte, NC is seeking a Data Scientist I to support maintenance planning and operational decision-making through data science. This role involves developing models to enhance reliability and optimize maintenance strategies across Fleets and Equipment.

The ideal candidate will have a Bachelor's degree in Data Science or a related field and 2+ years of relevant experience. Benefits include Paid Time Off, Health, Dental, and Vision coverage, as well as a 401(k) plan with a company match.

Qualifications

• 2+ years of professional experience in data science or predictive analytics.
• Experience with Python for data extraction and transformation.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop and evaluate reliability models using statistical techniques.
• Partner with stakeholders to translate business problems into analytical solutions.
• Perform exploratory data analysis on complex operational datasets.

Skills

Statistical modeling

Machine learning

Data analysis

Predictive analytics

Python

SQL

Communication

Education

Bachelor’s degree in Data Science or related field

Tools

Power BI

Python (pandas, scikit-learn)

Azure DevOps

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.

Job Description

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)

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, Power BI or other visualization tool, messy real‑world operational data, and large, multi‑source datasets
  • Strong analytical and problem‑solving skills
  • Strong verbal and written communication skills
• Strongly Preferred
  • 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 (ETL pipelines, 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 railcard data and reporting (industry detector data, billing, etc.) are strongly preferred.

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 a general office environment with a moderate noise level. Regularly required to talk, hear, or sit. Frequently required to use hands to finger, handle, or feel. Occasionally required to move and reach with hands and arms. Occasionally lift and/or transport up to 10 pounds. Correctable vision required for close and color vision and the ability to adjust 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.

Benefits

TTX’s generous Total Rewards package includes Paid Time Off, Health, Dental and Vision benefits, and 401(k) with company match. This position participates in Railroad Retirement.

Equal Opportunity

TTX Company is an Equal Employment Opportunity Employer.

About the Team

Provide a wide range of services for North American railroads and the transportation industry. Create a Business Plan that drives the Company’s plan for new car builds and modifications. Day‑to‑day management of the company’s intermodal, general equipment, and automotive fleets. Manage procurement of new rail cars, components, and other materials used to support fleet maintenance. Provide in‑depth analysis of the economy, the rail industry, and its competitors.