Data Scientist, Principal

Trinity Industries is searching for a Sr. 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 data science domains, model workflows, and data pipelines for our manufacturing business, while concentrating on support for the entire enterprise. This includes econometric predictive 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

• As a seasoned Data Science professional, autonomously manage and 'hands on keyboard' develop projects and use cases from the ideation stage to solution deployment

• 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-level or higher educational attainment required, PhD preferred

• 10+ years relevant experience (actual/equivalent) in advanced analytics and data science domains

• World-class 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

• Deep familiarity with industrial manufacturing and supply chain processes required

• Expert-level 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, including applied GenAI business process solutions

• Expert skills in Data Architecting, Visualization, SQL, Microsoft Excel, PowerPoint

• Exceptional 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

• Advanced 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