Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Science Intern role.
Rezi rewrites your resume against Daimler Truck's job description. Free.
Tailor your resume to this Data Science Intern role.
Rezi rewrites your resume against Daimler Truck's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Science Intern posting at Daimler Truck — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Science Intern posting at Daimler Truck — free, in seconds.
About the Role
As a Data Science Intern, you will leverage data, analytics, and artificial intelligence to address real-world business challenges and contribute to the development of innovative products and capabilities. You will work with diverse enterprise data, including high-volume vehicle and IoT data, applying programming, statistics, and visualization techniques to analyze specific business questions and present findings. This role offers opportunities to explore modern data science and AI-assisted tools, learn to evaluate AI-generated results, and potentially transition into a full-time position.
Responsibilities
- 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 to perform data analysis and develop analytical solutions.
- Apply statistical and mathematical methods to understand patterns, trends, relationships, and anomalies in data.
- Develop visualizations that clearly communicate analytical findings to technical and non-technical audiences.
- Design analyses and experiments that answer specific business questions or evaluate hypotheses.
- Help develop and evaluate predictive models, machine learning techniques, and other advanced analytics where appropriate.
- Assess data quality and understand how limitations in data may affect analytical conclusions.
- Develop rapid prototypes and proof-of-concept solutions to evaluate new ideas.
- Use integrated AI tools to assist with coding, data exploration, research, documentation, and problem solving, while critically reviewing and validating generated results.
- Communicate methodology, findings, assumptions, and recommendations to project stakeholders.
- Work within an Agile team in a dynamic, collaborative environment.
- Learn and evaluate new data science, analytics, visualization, and AI technologies.
- Collaborate with data scientists, data engineers, software developers, product teams, and business stakeholders.
- Lead and support efforts to foster an inclusive and welcoming workplace culture where everyone belongs.
Requirements
- 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 how to communicate information effectively 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 that required defining or understanding a specific question, constructing an analysis, and using data to reach a conclusion.
- Background in statistics, mathematics, or other quantitative methods.
- Applicants must be legally authorized to work permanently in the country the position is located in at the time of application.
Skills
- Python
- SQL
- Data Visualization
- Statistical Analysis
- Machine Learning
- AI-assisted development tools
Location
- Portland, OR US
Work Type
- Hybrid (4 days per week in-office / 1 day remote)
Experience Level
- Internship
Education Level
- Bachelor's program or higher
Salary/Compensations
- $21 - $29 per hour
Benefits
- 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
About the Company
- 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 future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.
- That is what we are working toward - for all who keep the world moving.
Equal Opportunity
- EEO - Disabled/Veterans
- Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without্জregard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.