Product Integrity Engineering Intern

Daimler Truck North America

. Gain knowledge and experience through real-life learning opportunities .

Posted 10/22/2026internshipPortland • Oregon • United StatesEntry Level💰 $21 - $29 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical and quantitative skills to improve product quality and safety through data analysis, cleansing, and validation. Proficient in structured problem-solving methods and effective communication of analytical findings.

Highest-signal resume keywords

Data AnalysisPython ExposureData CleansingStructured Problem SolvingStatistical Reasoning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData CleansingData ValidationStatistical ReasoningPredictive AnalysisTrend AnalysisRelational Data ExperienceProcess ImprovementRoot-Cause Problem SolvingDataset Processing

Soft Skills

Strong Oral CommunicationStrong Written CommunicationSolid Organizational SkillsCreative MindsetInterpersonal Skills

Tools & Technologies

PythonRTableauPower BI

Industry Keywords

EngineeringIndustrial EngineeringData ScienceAutomotiveQualityReliability DataContinuous ImprovementFRACASData ArchitecturePerformance Data

Tech Stack

Tools & technologies

PythonTableau

About the role

Key responsibilities & impact

Gain knowledge and experience through real-life learning opportunities
Work on regulation reporting, IT data/analytics, and structured problem solving to improve product quality and safety across DTNA’s product line
Work cross-functionally with IT, Legal, Chassis, Cab, and Software engineering fields
Represent EQSC before upper management
Use analytical and quantitative methods to understand, predict, and enhance processes
Analyze business data needs and document business and data architecture requirements
Develop dataset processes, address business issues with datasets, and identify hidden patterns
Improve data reliability, efficiency, and quality
Perform cleansing, profiling, validation, and aggregation of structured and unstructured data
Support Practical Problem Solving methods to identify root causes
Collect and organize daily, weekly, and monthly departmental performance data
Identify trends and patterns in departmental performance data
Support the FRACAS high-priority structured problem-solving team and continuous improvement efforts
Use data analysis to evaluate topics and support or challenge warranty data
Apply data analysis methods, tools, and reports to predict, prevent, and resolve efficiency issues and roadblocks
Generate insights from research, contribute to storyboarding, and define solutions for physical and digital experiences
Support efforts to foster 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 1 year of the position start date (May/June)
Currently pursuing a degree in Engineering, Industrial Engineering with Statistics emphasis or Data Science
Demonstrated experience working with relational data
Python or R exposure
Data cleansing and validation
Data analysis and statistical reasoning
Structured/root-cause problem solving
Ability to communicate analytical findings clearly
Strong oral and written communication skills
Solid organizational skills
Creative mindset
Interpersonal skills and ability to work in a team environment
Engineering, manufacturing, automotive, quality, or reliability data experience preferred
Large and/or messy datasets experience preferred
Process improvement experience preferred
Predictive or trend analysis experience preferred
Academic projects involving real-world data rather than only controlled classroom datasets experience preferred
Tableau, Power BI, or similar visualization experience preferred
Must be legally authorized to work permanently in the United States at the time of application
Final candidate must successfully complete a criminal background check
Final candidate may be required to successfully complete a pre-employment drug screen
Not open to Visa sponsorship or existing Visa holders

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
Potential transition into a full-time position subject to manager evaluations and business availability