TrinityRail
Sr. Data Scientist
TrinityRail, Dallas, Texas, United States, 75215
Trinity Industries
is hiring a
Sr.
Data Scientist
in our
Dallas, TX
headquarters.
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 stakeholdersWork closely with business leaders, project stakeholders, and subject matter experts to understand and optimize key business processesApply your SQL, data transformation, and data modeling skills to turn data into actionable insights and optimized solutionsPartner 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 applicableWork with data analysts to translate business requirements into impactful data visualizations and data models in platforms like Qliksense, Tableau, PowerBI, and other analytics tools
QualificationsWhat 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 preferred7+ years relevant experience in related analytics, data science, and business intelligenceExpert-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 writtenFamiliarity with industrial manufacturing and supply chain processes highly preferredPossess 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 processAdvanced skills in Data Architecting, Visualization, SQL, Microsoft Excel, PowerPointTechnical fluency regarding data mining, data models, database design/development, and other segmentation techniques, usage ofData 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 requirementsIntermediate skills in Application development with Business Intelligence tools (e,g. Qliksense, Tableau, Power BI, etc.)Strong organizational, time management and multi-tasking skillsPrior experience with Palantir Foundry, including developing integrated workflows, process improvement and automation highly preferred
is hiring a
Sr.
Data Scientist
in our
Dallas, TX
headquarters.
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 stakeholdersWork closely with business leaders, project stakeholders, and subject matter experts to understand and optimize key business processesApply your SQL, data transformation, and data modeling skills to turn data into actionable insights and optimized solutionsPartner 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 applicableWork with data analysts to translate business requirements into impactful data visualizations and data models in platforms like Qliksense, Tableau, PowerBI, and other analytics tools
QualificationsWhat 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 preferred7+ years relevant experience in related analytics, data science, and business intelligenceExpert-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 writtenFamiliarity with industrial manufacturing and supply chain processes highly preferredPossess 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 processAdvanced skills in Data Architecting, Visualization, SQL, Microsoft Excel, PowerPointTechnical fluency regarding data mining, data models, database design/development, and other segmentation techniques, usage ofData 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 requirementsIntermediate skills in Application development with Business Intelligence tools (e,g. Qliksense, Tableau, Power BI, etc.)Strong organizational, time management and multi-tasking skillsPrior experience with Palantir Foundry, including developing integrated workflows, process improvement and automation highly preferred