Data Science Engineer Visa Sponsorship Jobs in South Carolina
Data science engineer visa sponsorship jobs in South Carolina are concentrated in the Charlotte metro spillover region around Rock Hill, the growing tech corridor in Columbia, and research-driven employers near Clemson and Greenville. Major sponsors include Michelin, BMW Manufacturing, and SCANA-affiliated tech teams, alongside state government analytics initiatives and financial services firms expanding into the Upstate.
Find Data Science Engineer JobsOverview
Showing 5 of 19+ Data Science Engineer Jobs in South Carolina with Visa Sponsorship
See all Data Science Engineer Jobs in South Carolina with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer Jobs in South Carolina with Visa Sponsorship.
Get Access To All JobsJob Profile
Job Title: Intern
Department: Process Department
Direct Supervisor: Process Manager
Direct Subordinates: None
II. Job Summary:
As a Data Science Intern, you will work alongside experienced data scientists and engineers to turn raw data into meaningful business solutions. You will help collect, clean, and analyze datasets, build predictive models, and explore emerging machine learning or AI technologies to solve real-world challenges.
NO. Representative Duties
1 Data Preparation: Collect, clean, transform, and organize raw data from various sources to make it ready for analysis and modeling.
2 Exploratory Analysis: Conduct exploratory data analysis (EDA) to find hidden trends, patterns, and insights that drive business decisions.
3 Model Development: Assist in building, testing, and refining statistical models, machine learning pipelines, and AI/GenAI prototypes.
4 Visualization & Reporting: Create clear dashboards, reports, and visual aids to communicate complex technical findings to non-technical teams.
5 Documentation: Document assumptions, methodologies, model performance metrics, and limitations to ensure reproducible research.
6 Other duties as assigned
7 Nothing in the Position Description restricts management's right to assign or re-assign duties and responsibilities to this job at any time
IV. Qualification
Job Requirements
Language: Language spoken commonly in the workplace is English.
- Ability to read, understand and comprehend documents such as safety rules, operating and maintenance instructions. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
- Ability to speak effectively and interact with other team members, engineers, leadership and customers.
Experience
N/A
Education: Currently enrolled in an undergraduate or graduate degree program (BS, MS, or PhD) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Physical Condition: The employee is regularly required to stand or sit for long periods. Duties will include long periods of viewing a computer monitor.
Other Requirements
MATHEMATICAL SKILLS
- Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
REASONING ABILITY
- Ability to solve practical problems and deal with a variety of variables.
COMPUTER SKILLS
- Knowledge of and familiarity with manufacturing software.
Knowledge, Skills & Abilities utilized on the job
- Solid ability and understanding of behavioral based and competency based interviewing
- Ability to source passive candidates through multiple methods (job boards, social media, networking, etc.)
- Strong decision-making experience
- Excellent communication and interpersonal skills
- Ability to create relationships with hiring manager and to understand their needs
- Outstanding organizational and planning abilities
Training Required
- Company Policy, especially HR Policy;
- New hire Orientation;
- Related ERP training
V. Work Environment:
Bright, clean, and well-ventilated office building. While performing the duties of this job, the employee is occasionally exposed to extreme heat. The noise level in the work environment is usually moderate. Safety requirements for this position are safety glasses and steel-toed work shoes.
VI. Key Performance Indicators:
Job Profile
Job Title: Intern
Department: Process Department
Direct Supervisor: Process Manager
Direct Subordinates: None
II. Job Summary:
As a Data Science Intern, you will work alongside experienced data scientists and engineers to turn raw data into meaningful business solutions. You will help collect, clean, and analyze datasets, build predictive models, and explore emerging machine learning or AI technologies to solve real-world challenges.
NO. Representative Duties
1 Data Preparation: Collect, clean, transform, and organize raw data from various sources to make it ready for analysis and modeling.
2 Exploratory Analysis: Conduct exploratory data analysis (EDA) to find hidden trends, patterns, and insights that drive business decisions.
3 Model Development: Assist in building, testing, and refining statistical models, machine learning pipelines, and AI/GenAI prototypes.
4 Visualization & Reporting: Create clear dashboards, reports, and visual aids to communicate complex technical findings to non-technical teams.
5 Documentation: Document assumptions, methodologies, model performance metrics, and limitations to ensure reproducible research.
6 Other duties as assigned
7 Nothing in the Position Description restricts management's right to assign or re-assign duties and responsibilities to this job at any time
IV. Qualification
Job Requirements
Language: Language spoken commonly in the workplace is English.
- Ability to read, understand and comprehend documents such as safety rules, operating and maintenance instructions. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
- Ability to speak effectively and interact with other team members, engineers, leadership and customers.
Experience
N/A
Education: Currently enrolled in an undergraduate or graduate degree program (BS, MS, or PhD) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Physical Condition: The employee is regularly required to stand or sit for long periods. Duties will include long periods of viewing a computer monitor.
Other Requirements
MATHEMATICAL SKILLS
- Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals.
REASONING ABILITY
- Ability to solve practical problems and deal with a variety of variables.
COMPUTER SKILLS
- Knowledge of and familiarity with manufacturing software.
Knowledge, Skills & Abilities utilized on the job
- Solid ability and understanding of behavioral based and competency based interviewing
- Ability to source passive candidates through multiple methods (job boards, social media, networking, etc.)
- Strong decision-making experience
- Excellent communication and interpersonal skills
- Ability to create relationships with hiring manager and to understand their needs
- Outstanding organizational and planning abilities
Training Required
- Company Policy, especially HR Policy;
- New hire Orientation;
- Related ERP training
V. Work Environment:
Bright, clean, and well-ventilated office building. While performing the duties of this job, the employee is occasionally exposed to extreme heat. The noise level in the work environment is usually moderate. Safety requirements for this position are safety glasses and steel-toed work shoes.
VI. Key Performance Indicators:
Data Science Engineer Job Roles in South Carolina
See all Data Science Engineer Jobs in South Carolina
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Data Science Engineer Jobs in South CarolinaData Science Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for data science engineers in South Carolina?
Michelin North America in Greenville, BMW Manufacturing in Spartanburg, and Bosch's South Carolina operations are among the larger employers with documented H-1B visa sponsorship histories for engineering and data roles. Financial institutions such as TD Bank and First Citizens BancShares, along with MUSC Health in Charleston, also appear in Department of Labor disclosure data as sponsors for data science and analytics positions.
Which visa types are most common for data science engineer roles in South Carolina?
The H-1B is the most common visa for data science engineers in South Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Employers file a Labor Condition Application with the Department of Labor before petitioning USCIS. Candidates already holding OPT or STEM OPT authorization are often preferred because they can begin work immediately without waiting for H-1B cap selection.
How to find data science engineer visa sponsorship jobs in South Carolina?
Migrate Mate is the most direct way to find data science engineer visa sponsorship jobs in South Carolina, with listings filtered specifically for employers willing to sponsor work visas. Because South Carolina's tech sector is spread across Greenville, Spartanburg, Columbia, and Charleston rather than concentrated in one metro, a filtered search on Migrate Mate saves significant time compared to manually vetting individual company career pages for sponsorship history.
Which cities in South Carolina have the most data science engineer sponsorship jobs?
Greenville and Spartanburg in the Upstate region lead sponsorship activity, driven by the automotive and advanced manufacturing supply chain, which increasingly relies on data engineering for production analytics. Columbia, as the state capital and home to the University of South Carolina, has a growing cluster of government technology and health informatics roles. Charleston has seen expansion in defense contracting and financial technology that generates data science demand.
Are there state-specific considerations for data science engineers pursuing visa sponsorship in South Carolina?
South Carolina does not have a major standalone tech hub comparable to Research Triangle in neighboring North Carolina, so most data science engineer roles with sponsorship are embedded within manufacturing, healthcare, or government employers rather than pure technology companies. Clemson University and the University of South Carolina both produce graduate-level talent pipelines that some employers leverage, which means international graduates from these institutions may find on-campus or affiliated employer connections particularly relevant when seeking sponsorship.
What is the prevailing wage for sponsored data science engineer jobs in South 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.