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Busn Intel & Data Scien
2301417 Requisition #

TrinityRail is searching for a Data Scientist in Dallas, TX!

The successful candidate will be innovation-minded with a blend of skills in data analytics, data engineering, and data science.  This individual will dive deep into analytics, model workflows, and data pipelines for our manufacturing business, while concentrating on support for the entire enterprise. This includes production-line workforce modeling & analytics and supporting our lease fleet operations. The role is a unique blend of various skill domains - we're seeking an individual who can navigate these priorities with ease while unlocking value for our integrated business platform.

Join our team today and be a part of Delivering Goods for the Good of All!

What you'll do:

  • Lead development of end-to-end analytics projects for our manufacturing, leasing, and supply chain groups from conception through delivery, driving effective collaboration and alignment with business stakeholders
  • Work closely with business leaders, project stakeholders, and subject matter experts to understand and optimize key business processes
  • Apply your SQL, data transformation, and data modeling skills to turn data into actionable insights and optimized solutions
  • Partner with data engineers on technical design of complex data sourcing, transformation, and aggregation logic to meet business analytics needs and deliver value. Leverage generative AI in analytical work where applicable
  • Work with data analysts to translate business requirements into impactful data visualizations and data models in platforms like Qliksense, Tableau, PowerBI, and other analytics tools

What you'll need:

  • Bachelor’s Degree in quantitative field such as Mathematics, Economics, Computer Science, Information Management, Statistics, Finance or Accounting; Masters and/or PhD preferred
  • 5+ years relevant experience in related analytics, data science, and business intelligence
  • Expert-level skills in Data Analytics with advanced analytical languages (Python, R, Spark, Scala, and/or Julia)
  • Must possess exceptional communication/presentation skills, both verbal and written
  • Familiarity with industrial manufacturing and supply chain processes highly preferred
  • Possess competencies with SQL, Generative AI prompting, and data transformation tools.  Seamlessly leverage generative AI tools like GPT, Co-Pilot, and other technologies as core aspects of the development process
  • Advanced skills in Data Architecting, Visualization, SQL, Microsoft Excel, PowerPoint
  • Technical fluency regarding data mining, data models, database design/development, and other segmentation techniques, usage of
  • Data Orchestration & Modeling platforms (e,g. Azure Databrick & Data Factory)
  • Experience with data visualization tools such as Qliksense and techniques in translating business analytics needs into data visualization and semantic data access requirements
  • Intermediate skills in Application development with Business Intelligence tools (e,g. Qliksense, Tableau, Power BI, etc.)
  • Strong organizational, time management and multi-tasking skills
  • Prior experience with Palantir Foundry, including developing integrated workflows, process improvement and automation highly preferred


Trinity Industries, Inc., and its subsidiary or affiliated companies (hereinafter “Trinity”) are committed to equal employment opportunity.  It is our policy to consider candidates for employment without regard to race, color, sex, sexual orientation, gender identity, religion, age, national origin, disability, or veteran status.


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Trinity participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.


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E-Verify Participation


Trinity is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to trinityrecruiting@trin.netThis email address should only be used for accommodations and not general inquiries or resume submittals.

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