Data Science Intern

Daimler Truck North America • Portland, OR

1d • Hybrid

About The Position

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. Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability. In this exciting and challenging role as a Data Science Intern, you will use data, analytics, and artificial intelligence to help solve real-world business problems and support the development of innovative products and capabilities. You will work with enterprise data from a variety of sources, including high-volume vehicle and IoT data, and use programming, statistics, visualization, and analytical techniques to investigate specific business questions and communicate meaningful findings. We are looking for a highly motivated candidate who is curious, comfortable learning new technologies, and able to work independently toward a defined goal. You will have opportunities to explore modern data science tools and integrated AI-assisted tools for coding, analysis, research, and problem solving, while learning how to evaluate and validate AI-generated results.

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.
• Exceptional Candidate Might Bring Working with Python data science libraries or analytical tools.
• Writing SQL queries and working with relational data.
• Data cleaning, exploratory data analysis, and feature development.
• Statistical analysis, predictive modeling, or machine learning.
• Data visualization or dashboard development.
• Working with large, time-series, geospatial, IoT, or other complex datasets.
• Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.
• Experience using AI-assisted development tools, coding assistants, or other integrated AI tools to support analysis and problem solving.

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

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

What This Job Offers

• Career Level: Intern