Product Integrity Engineering Quality Safety and Compliance (EQSC) Intern

Location: Portland, OR US

Inside the Role

Interns will gain knowledge and experience through exciting and real-life learning opportunities. Interns must work in accordance with DTNA’s core values of passion, respect, integrity and discipline. Internship positions can be located at various DTNA locations across the US. We are looking for high performing and motivated individuals in various areas within DTNA organizations. DTNA internships begin each summer in May or June.

Daimler Truck North America (DTNA) is the undisputed market leader and thrives as the innovator in the commercial vehicle industry. In the Product Integrity (PI) Department, under the Director of Engineering Quality Safety Compliance (EQSC) oversees all product-related quality, safety, compliance, and certification issues for Daimler Trucks North America (DTNA). Our purpose is to ensure that high quality, safe and sustainable products comply with all aspects of current and future regulatory, societal and company standards which we strive to shape and influence. We put Road User’s Safety and Quality at the Center of everything we do. In this crucial role as part of the EQSC Strategic Operations Team, you will be a member of a team responsible for regulation reporting, IT Data / Analytics, and Structured Problem Solving for improving product quality and safety approach across DTNA's entire product line. You will work cross-functionally across many different engineering fields ranging from IT, Legal, Chassis, Cab, to Software (TT/S), exposing you to a wide variety of experience and knowledge. You will represent EQSC before upper management, giving you an opportunity to demonstrate your skills and accelerate your career.

Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

Salary placement is determined by your anticipated graduation year and ranges between $21 - $29 per hour.

Benefits include

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

What You Drive at DTNA

IT Data Analytics

Use analytical and quantitative methods to understand, predict, and enhance processes.

Actively work with internal and external customers to analyze business data needs, gather and document business and data architecture requirements.

Develop data set processes, address business issues with data sets and find hidden patterns using data.

Identify ways to improve data reliability, efficiency and quality.

Recognize and adopt best practices in reporting/analysis.

Undertake cleansing, profiling, validation and aggregation of structured and unstructured data

Structured Problem Solving

Support SPS Lead to utilize Practical Problem Solving methods to identify root cause issues.

Collect and organize relevant data on a daily, weekly, and monthly basis to monitor the performance of the department.

Identify trends and patterns in departmental performance data, highlighting areas of improvement or concern.

Support and challenge the FRACAS high priority structured problem solving team with cross-department partnerships on continuous improvement efforts to identify design quality issues, increase speed and quality of resolution for end customers.

Learn to evaluate topic with data analysis to support or challenge warranty data.

Utilize appropriate data analysis methods, tools and reports to predict, prevent, and support the resolution of efficiency issues and roadblocks.

Work closely with the team to generate insights from research, contribute to storyboarding, and define solutions for both physical and digital experiences.

Lead and support efforts to foster an inclusive and welcoming workplace culture where everyone belongs

Knowledge You Should Bring

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

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

Strong oral and written communication skills

Solid organizational skills

Creative mindset

Interpersonal skills and ability to work in a team environment

#LI-Hybrid

Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)- Portland, OR US. Relocation assistance for this position is available when the selected candidate meets eligibility criteria.

Schedule Type

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we’re building to solve with cutting-edge solutions in sustainability and