Data Science Analyst Visa Sponsorship Jobs in North Carolina
Data science analyst roles in North Carolina are concentrated in the Research Triangle, where companies like SAS Institute, Red Hat, and Lenovo maintain significant analytics teams, alongside major financial institutions in Charlotte such as Bank of America and Wells Fargo. The state's deep university pipeline through NC State, Duke, and UNC feeds steady demand for sponsored international 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 Analyst Job Roles in North Carolina
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Search Data Science Analyst Jobs in North CarolinaData Science Analyst Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data science analysts in North Carolina?
SAS Institute in Cary, Red Hat in Durham, and Lenovo in Morrisville are among the most consistent H-1B visa sponsors for data and analytics roles in the Triangle. Charlotte-based financial firms including Bank of America and Wells Fargo also file significant H-1B petitions for data science analyst positions. Large healthcare systems like Duke Health and UNC Health round out the major sponsoring employers in the state.
Which visa types are most common for data science analyst roles in North Carolina?
The H-1B is the most common work visa for data science analyst positions in North Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, computer science, mathematics, or a related field. F-1 students graduating from NC State, Duke, or UNC often work under OPT or STEM OPT extension before their employer transitions them to H-1B status. Australians may also qualify for the E-3 visa with a sponsoring employer.
Which cities in North Carolina have the most data science analyst sponsorship jobs?
The Research Triangle, spanning Raleigh, Durham, and Chapel Hill, is by far the densest market for sponsored data science analyst roles in North Carolina, driven by tech companies, life sciences firms, and university-affiliated research organizations. Charlotte is the second largest hub, concentrated in financial services and fintech. Smaller clusters exist in Greensboro and Winston-Salem, primarily tied to healthcare and manufacturing analytics teams.
How to find data science analyst visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles, and you can filter directly for data science analyst positions in North Carolina to see employers actively open to sponsorship. Because sponsorship willingness is not always stated in generic job postings, using a platform that surfaces this information upfront saves significant research time. Migrate Mate updates listings regularly, making it a practical starting point for your North Carolina job search.
Are there state-specific factors that affect visa sponsorship for data science analysts in North Carolina?
North Carolina's Research Triangle Park concentration means many sponsoring employers are large, established tech and life sciences companies that have dedicated HR and immigration counsel, which can streamline the H-1B process compared to smaller sponsors. The region's strong university pipeline through NC State's analytics programs and Duke's data science graduate degrees means employers are accustomed to hiring international graduates and initiating OPT-to-H-1B transitions. Prevailing wage requirements still apply and are determined by the specific metropolitan statistical area where the job is located.
What is the prevailing wage for sponsored data science analyst 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.