Daimler Truck North America
Daimler Truck North America
Daimler Truck North America develops and delivers vehicles, technologies, and services for the commercial transportation industry. Its portfolio includes medium- and heavy-duty trucks, school buses, chassis, and related transportation solutions associated with Freightliner, Western Star, and Thomas Built Buses. The company brings together engineering, manufacturing, marketing, and service expertise, with a focus on advancing innovation and sustainability across logistics, automotive, and transport.

Data Science Intern — Daimler Truck North America (Portland, Hybrid)

Apply Python, statistics, and AI to high-volume vehicle and IoT data at Daimler Truck North America. Build analytics, visualizations, and predictive solutions supporting future vehicle technology.

Description

  • Apply data science, analytics, and AI to business challenges and product development.
  • Analyze enterprise datasets, including high-volume vehicle and IoT data.
  • Translate business questions from internal customers and colleagues into data science problems.
  • Explore, clean, transform, and analyze structured and unstructured data from varied sources.
  • Use Python, SQL, or other programming languages to analyze data and build analytical solutions.
  • Apply statistical and mathematical methods to identify patterns, trends, relationships, and anomalies.
  • Create visualizations for both technical and non-technical audiences.
  • Plan analyses and experiments to address business questions and test hypotheses.
  • Assist in developing and assessing predictive models, machine learning methods, and advanced analytics.
  • Evaluate data quality and consider how limitations affect conclusions.
  • Build quick prototypes and proof-of-concept solutions.
  • Use and validate integrated AI-assisted tools for coding, exploration, research, documentation, and problem solving.
  • Present methods, findings, assumptions, and recommendations to stakeholders.
  • Contribute to an Agile team alongside data scientists, data engineers, software developers, product teams, and business stakeholders.
  • Explore and assess emerging tools in data science, analytics, visualization, and AI.
  • Help maintain an inclusive, welcoming workplace.

Requirements

  • Currently enrolled in an accredited bachelor's program or higher, or graduated within one year of the position's May/June start date.
  • Pursuing a degree in data science, computer science, statistics, mathematics, engineering, economics, or another quantitative or technical field.
  • Programming experience in Python, SQL, or another language.
  • Understanding of core data visualization practices and how to communicate effectively with charts and other visual formats.
  • Able to work independently toward a defined goal, investigate issues, and find the information needed to make progress.
  • Completed at least one data science or analytics project that addressed a specific question, analyzed data, and reached a data-supported conclusion.
  • Background in statistics, mathematics, or another quantitative discipline.
  • Authorized to work permanently in the United States when applying.
  • Must pass a criminal background check.
  • May need to pass a pre-employment drug screen.
  • Visa sponsorship and candidates with existing visas are not accepted.

Benefits

  • Professional development and networking opportunities, including résumé reviews and mock interviews.
  • Housing and transportation stipend.
  • Employee resource groups.
  • Event tickets, subject to corporate availability.
  • Company social gatherings.
  • Relocation support for candidates who meet eligibility criteria.

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