Data Science Intern

Daimler Truck North America

. Use data, analytics, and artificial intelligence to solve real-world business problems and support innovative products and capabilities .

Posted 10/9/2026full-timePortland • Oregon • United StatesEntry Level💰 $21 - $29 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data analysis and visualization using Python and SQL, with a strong foundation in statistics and mathematics. Capable of translating business questions into analytical problems and developing predictive models and prototypes to support decision-making.

Highest-signal resume keywords

Python ProgrammingSQL ProgrammingData VisualizationStatistical AnalysisMachine Learning Techniques

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisPredictive ModelingData CleaningData TransformationStatistical MethodsAnalytical Problem SolvingExperiment DesignData Quality AssessmentRapid PrototypingAI-Assisted Tools

Soft Skills

Effective CommunicationIndependent Problem SolvingCollaborationAdaptabilityInclusivity

Tools & Technologies

Data Science ToolsVisualization ToolsAgile MethodologyIoT DataIntegrated AI Tools

Industry Keywords

Data ScienceAnalyticsQuantitative MethodsBusiness IntelligenceData-Driven Decision Making

Tech Stack

Tools & technologies

IoTPythonSQL

About the role

Key responsibilities & impact

Use data, analytics, and artificial intelligence to solve real-world business problems and support innovative products and capabilities
Work with enterprise data including high-volume vehicle and IoT data
Work with internal customers and team members to understand business questions and translate them into data science and analytical problems
Explore, clean, transform, and analyze structured and unstructured data from multiple sources
Use Python, SQL, or other programming languages for data analysis and analytical solutions
Apply statistical and mathematical methods to identify patterns, trends, relationships, and anomalies
Develop visualizations for technical and non-technical audiences
Design analyses and experiments to answer business questions or evaluate hypotheses
Help develop and evaluate predictive models, machine learning techniques, and advanced analytics
Assess data quality and the impact of data limitations on conclusions
Develop rapid prototypes and proof-of-concept solutions
Use and validate integrated AI-assisted tools for coding, exploration, research, documentation, and problem solving
Communicate methodology, findings, assumptions, and recommendations to stakeholders
Work within an Agile team and collaborate with data scientists, data engineers, software developers, product teams, and business stakeholders
Learn and evaluate new data science, analytics, visualization, and AI technologies
Support an inclusive and welcoming workplace culture

Requirements

What you’ll need

Must be currently enrolled in a Bachelor’s program or higher from an accredited college/university OR have recently graduated within one year of the position start date (May/June)
Must be pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or another quantitative or technical field
Programming experience with Python, SQL, or another programming language
Understanding of fundamental data visualization practices and effective communication through charts and other visualizations
Ability to work independently toward a defined goal, investigate problems, and seek out information needed to make progress
Experience completing at least one data science or analytical project involving a specific question, analysis, and data-supported conclusion
Background in statistics, mathematics, or other quantitative methods
Must be legally authorized to work permanently in the United States at the time of application
Must successfully complete a criminal background check
May be required to successfully complete a pre-employment drug screen
Visa sponsorship and existing visa holders are not accepted

Benefits

Comp & perks

Professional development and networking events, including resume reviews/mock interviews
Housing and transportation stipend
Employee resource groups
Event ticket offering (based on corporate availability)
Company social events
Relocation assistance when the selected candidate meets eligibility criteria