Associate Data Scientist I Job

JOB SUMMARY
Support data-driven decision-making across TTX's maintenance, fleet management, and operational planning functions through analysis, reporting, automation, and foundational data science techniques.
Working under the guidance of senior analysts and data scientists, this role prepares and validates data, develops reports and dashboards, automates recurring processes, supports optimization and predictive modeling, and identifies trends, data quality issues, and opportunities for process improvement.
The position provides an opportunity to build technical and business knowledge while contributing to projects that improve fleet reliability, maintenance planning, operational efficiency, and strategic decision-making.
RESPONSIBILITIES
- Data Science/Analysis
- Collect, clean, validate, and prepare data from operational and business systems for analysis, reporting, and modeling
- Assist in building, testing, and documenting statistical, predictive, and optimization models under senior guidance
- Identify trends, validate results, and flag data quality concerns that may affect analytical outcomes
- Maintain analytical workflows, notebooks, code repositories, and documentation
- Support maintenance planning, capacity analysis, and production decisions by projecting repair demand and resource needs
- Reporting
- Develop and automate recurring reports, dashboards, and metrics related to maintenance activity, fleet health, availability, reliability, and bad order trends
- Assist with self-service data stores and train users on best practices for self-service analysis tools
- Evaluate and improve critical data table structures to increase reporting efficiency and query performance
- Planning and Forecasting
- Support quarterly planning, forecasting, and continuous improvement activities by identifying trends that affect fleet availability, reliability, maintenance performance, and resource efficiency
- Technical Expertise
- Write SQL queries and develop basic algorithms in Excel and Python
- Use visualization and analytics tools such as Power BI, Tableau, Microsoft Fabric, and related platforms
- Apply linear and non-linear optimization techniques where appropriate
- Leverage Power Automate and Power Apps to streamline recurring processes and reduce manual effort
- Document data flows, business requirements, reporting processes, governance practices, and workflow standards

QUALIFICATIONS
- Bachelor's degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Information Systems, Economics, or a related quantitative field
- 0-2 years of relevant analytical, reporting, or data science experience
- Experience with SQL, Python data analysis libraries, data visualization tools such as Power BI or Tableau, and advanced Microsoft Office applications
- Familiarity with Power Platform, GitHub or version control, Microsoft Fabric, Azure, or cloud-based analytics platforms preferred
- Demonstrated aptitude for disciplined, objective, detail-oriented analysis
- Strong interpersonal, presentation, planning, and organizational skills, with the ability to work across management levels and cross-functional teams

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.)
General office environment; may be required to travel. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit (remain stationary within work area) and use hands to finger, handle, feel and reach. The employee is occasionally required to move about (stand, walk). The employee must occasionally lift and/or transport up to 10 pounds. Correctable vision required for close and distance activities.
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.