Data Science Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's data science engineer job market is anchored by Research Triangle Park, one of the largest research and technology hubs in the United States, with major employers including Lenovo, SAS Institute, Red Hat, and Cisco. Charlotte's growing fintech sector and the state's network of research universities add further demand for sponsored data science engineering talent.
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INTRODUCTION
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
Who We Are
The Complete Vehicle Features, Analysis, and Simulation Team resides within the Complete Vehicle (CV) organization at Volvo Group North America. Our mission is to be the Voice of the Customer and to build confidence that our products work for our customers through comprehensive verification and validation. CV-FAST brings together feature ownership, engineering analysis, simulation, and data science to ensure vehicle features are robust, balanced, and verified and validated with the right methods at the right time. The team owns complete vehicle-level feature performance, leveraging simulation, analytical data, physical testing, and digital verification strategies to front-load learning, reduce late-stage risk, and improve customer uptime. CV-FAST works closely with Engineering, Test, Product Planning, Product Management, and Brands to enable data-driven decisions across the full product lifecycle. Together with us, you will be part of a global and diverse team of highly skilled professionals. We have a strong culture based on our company values, which are central to our work.
We believe in a work environment where:
- We constantly strive for outstanding Performance.
- We are obsessed with Customer Success.
- We initiate Change to stay ahead.
- We willingly place our Trust in each other.
- We have a huge Passion for what we do.
What You will be doing
At Volvo Group, you will contribute to the transformation of our company, the transport industry, and society at large. As a Data Science Co-op within the CV-FAST (Complete Vehicle Features, Analysis & Simulation) team, you will help turn complex vehicle and engineering data into actionable insights that support data-driven development across the product lifecycle. You will work with data generated from simulations, testing activities, and connected vehicles to support analysis, modeling, and decision-making that improves product performance, efficiency, and customer value.
Working closely with engineers in Analysis & Simulation, Feature Engineering, Testing, and Digital teams, you will contribute to building data pipelines, developing analytics and machine learning solutions, and enabling modern, digital workflows. You will support efforts to improve how we analyze, visualize, and leverage data—helping accelerate the shift toward simulation-driven and data-driven development practices across Complete Vehicle.
Responsibilities:
- Work with engineers and data scientists to analyze simulation, test, and vehicle data to identify trends, anomalies, and improvement opportunities
- Clean, transform, and structure raw datasets to make them usable for analysis and modeling
- Develop and maintain data pipelines, scripts, and notebooks to automate repetitive analysis tasks
- Create dashboards and visualizations to communicate key insights to engineering teams and stakeholders
- Use AI-assisted tools to accelerate data exploration, generate code, and improve productivity
- Support the validation of data and models to ensure accuracy, robustness, and reproducibility
- Participate in team standups, technical discussions, and cross-functional collaboration to align on priorities and deliverables
- Build predictive models using vehicle and test data to identify potential performance issues or trends
- Develop AI-assisted tools or workflows (e.g., automated reports, insight generation, or data analysis pipelines) to improve engineering efficiency
- Analyze data from vehicle simulations and physical testing to support correlation and improve product validation strategies
- Support the development of digital twin or simulation-driven analytics capabilities by ensuring high-quality, structured data inputs
- Create or enhance Power BI or Streamlit applications that enable engineers to explore and interact with data more effectively
- Contribute to projects that automate or modernize engineering processes, reducing manual work and improving consistency
- Experiment with machine learning or generative AI techniques to improve how insights are generated and communicated
Impact you will have:
- Help improve the speed and quality of engineering decisions through better data and insights
- Enable more efficient verification & validation processes through data-driven approaches
- Contribute to Volvo’s broader digitalization and AI transformation within product development
Who You Are
You are a motivated and curious student with a strong interest in data science, analytics, and emerging AI technologies. You have a customer-focused mindset and are eager to apply your technical skills to solve real-world engineering problems. You are comfortable working with data, learning new tools, and collaborating with cross-functional teams to generate insights that improve product decisions. You are energized by digitalization and excited to leverage data, simulation, machine learning, and AI to drive early learning, reduce risk, and support objective, data-driven engineering decisions. You are interested in exploring how modern AI tools can accelerate workflows, enhance analysis, and enable more efficient and scalable engineering processes.
Required:
- Currently enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Engineering, Statistics, or a related field
- Applicants must have a minimum cumulative grade point average of 2.75
- Co-ops are not enrolled in academic courses during their co-op rotation and may work up to 40 hours per week
- Hands-on experience with programming for data analysis (e.g., Python, SQL)
- Basic understanding of statistics, data analysis, and machine learning concepts
- Familiarity with AI/ML workflows, including data preparation, feature engineering, model training, and evaluation
- Exposure to Generative AI or AI-assisted tools (e.g., using AI for coding, analysis, or automation)
- Experience working with datasets (cleaning, structuring, analyzing data)
- Strong problem-solving skills and ability to communicate findings clearly
- Ability to validate outputs and ensure data quality, accuracy, and reproducibility
- Ability to work collaboratively in a team environment and learn in a fast-paced setting
Preferred:
- Experience with data visualization tools (e.g., Power BI, matplotlib, plotly)
- Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Familiarity with modern AI concepts (e.g., prompt engineering, embeddings, or retrieval-based approaches)
- Experience building AI-assisted workflows or lightweight tools (automation scripts, dashboards, or applications)
- Familiarity with data pipelines, automation, or scripting workflows
- Experience working with engineering, simulation, or test data
- Interest in automotive, transportation, or heavy-duty vehicle systems
- Exposure to cloud platforms, databases, or big data tools
- Experience contributing to projects involving AI, analytics, automation, or dashboards
At the Volvo Group, we strive for a clear, transparent, and straightforward compensation approach, motivating you to contribute to the company’s growth. For all intern and co-op positions, the hourly range is set at $17.00 - $46.00. The hourly rate for these roles is determined by several factors including, but not limited to, geographic location, academic classification, and degree seeking area of study. In addition to these factors, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
We also offer the following benefits to interns and co-ops:
- Housing assistance, when applicable
- Countless career opportunities / internal mobility across our global organization
- Training and personal development
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
We value your data privacy and therefore do not accept applications via mail.
Who we are and what we believe in
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.
Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.
Trucks Technology & Industrial Division hire team players who are ready to create real customer impact. Our decentralized teams work close to our customers, with speed and autonomy, to build what they truly need.
Join us to collaborate on innovative, sustainable technologies that redefine how we design, build, and deliver value. Bring your curiosity, your expertise, and your collaborative energy, and together, we’ll turn bold ideas into tangible solutions for our customers and contribute to a more sustainable tomorrow.
Data Science Engineer Job Roles in North Carolina
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Search Data Science Engineer Jobs in North CarolinaData Science Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data science engineers in North Carolina?
Major sponsors in North Carolina include SAS Institute in Cary, Lenovo and Red Hat in Research Triangle Park, Cisco in RTP, and Bank of America in Charlotte. Healthcare systems like UNC Health and Duke Health also sponsor data science engineering roles. These employers have consistent H-1B visa filing histories with the Department of Labor and hire internationally for data engineering, machine learning, and analytics infrastructure positions.
Which visa types are most common for data science engineer roles in North Carolina?
The H-1B is by far the most common visa for data science engineers in North Carolina, as the role qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. L-1B visas apply when engineers transfer internally within multinational companies like Lenovo or Cisco. OPT and STEM OPT also see significant use among graduates from NC State, Duke, and UNC Chapel Hill.
Which cities in North Carolina have the most data science engineer sponsorship jobs?
Research Triangle Park, spanning Raleigh, Durham, and Cary, concentrates the majority of data science engineering sponsorship activity in the state. Charlotte is the second-largest market, driven by financial services and healthtech companies. Greensboro and Winston-Salem have smaller but growing technology employer bases. RTP's density of tech, pharmaceutical, and government research organizations makes it the most active sponsorship corridor in North Carolina.
How to find data science engineer visa sponsorship jobs in North Carolina?
Migrate Mate lets you filter data science engineer jobs specifically by visa sponsorship availability and state, so you can browse verified North Carolina openings without sorting through positions that don't sponsor. The platform is built for international candidates, so every listing is screened for sponsorship willingness. Focusing your search on RTP-based employers and Charlotte's financial technology sector will surface the highest volume of active opportunities.
Are there any North Carolina-specific factors that affect visa sponsorship for data science engineers?
North Carolina's Research Triangle Park location means many sponsoring employers are either large technology firms or federally funded research institutions, both of which tend to have established immigration support processes. Proximity to NC State, Duke, and UNC Chapel Hill creates a pipeline of OPT-eligible candidates that many local employers actively recruit. Prevailing wage requirements for H-1B petitions are determined by the Department of Labor based on the RTP and Charlotte metropolitan area wage levels for the specific role and experience tier.
What is the prevailing wage for sponsored data science engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.