Daimler Truck North America tijoriy transport sohasi uchun transport vositalari, texnologiyalar va xizmatlarni ishlab chiqadi hamda taqdim etadi. Uning portfeliga Freightliner, Western Star va Thomas Built Buses brendlari bilan bog‘liq o‘rta va og‘ir yuk mashinalari, maktab avtobuslari, shassilar hamda transportga oid yechimlar kiradi. Kompaniya muhandislik, ishlab chiqarish, marketing va servis sohalaridagi tajribani birlashtirib, logistika, avtomobilsozlik va transport yo‘nalishlarida innovatsiya hamda barqaror rivojlanishni ilgari surishga e’tibor qaratadi.
Data Science Intern — Daimler Truck North America (Portland, Hybrid)
Apply Python, statistics, and AI to high-volume vehicle and IoT data at Daimler Truck North America. Build analytics, visualizations, and predictive solutions supporting future vehicle technology.
Tavsif
- Apply data science, analytics, and AI to business challenges and product development.
- Analyze enterprise datasets, including high-volume vehicle and IoT data.
- Translate business questions from internal customers and colleagues into data science problems.
- Explore, clean, transform, and analyze structured and unstructured data from varied sources.
- Use Python, SQL, or other programming languages to analyze data and build analytical solutions.
- Apply statistical and mathematical methods to identify patterns, trends, relationships, and anomalies.
- Create visualizations for both technical and non-technical audiences.
- Plan analyses and experiments to address business questions and test hypotheses.
- Assist in developing and assessing predictive models, machine learning methods, and advanced analytics.
- Evaluate data quality and consider how limitations affect conclusions.
- Build quick prototypes and proof-of-concept solutions.
- Use and validate integrated AI-assisted tools for coding, exploration, research, documentation, and problem solving.
- Present methods, findings, assumptions, and recommendations to stakeholders.
- Contribute to an Agile team alongside data scientists, data engineers, software developers, product teams, and business stakeholders.
- Explore and assess emerging tools in data science, analytics, visualization, and AI.
- Help maintain an inclusive, welcoming workplace.
Talablar
- Currently enrolled in an accredited bachelor's program or higher, or graduated within one year of the position's May/June start date.
- Pursuing a degree in data science, computer science, statistics, mathematics, engineering, economics, or another quantitative or technical field.
- Programming experience in Python, SQL, or another language.
- Understanding of core data visualization practices and how to communicate effectively with charts and other visual formats.
- Able to work independently toward a defined goal, investigate issues, and find the information needed to make progress.
- Completed at least one data science or analytics project that addressed a specific question, analyzed data, and reached a data-supported conclusion.
- Background in statistics, mathematics, or another quantitative discipline.
- Authorized to work permanently in the United States when applying.
- Must pass a criminal background check.
- May need to pass a pre-employment drug screen.
- Visa sponsorship and candidates with existing visas are not accepted.
Imtiyozlar
- Professional development and networking opportunities, including résumé reviews and mock interviews.
- Housing and transportation stipend.
- Employee resource groups.
- Event tickets, subject to corporate availability.
- Company social gatherings.
- Relocation support for candidates who meet eligibility criteria.