Senior Data Science Engineer Visa Sponsorship Jobs in South Carolina
South Carolina's senior data science engineer job market is anchored by financial services firms in Charlotte's cross-border corridor, advanced manufacturing companies like BMW and Michelin, and research institutions tied to Clemson University and the Medical University of South Carolina. Columbia, Greenville, and Charleston are the primary hiring hubs for visa-sponsored roles in this field.
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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:
Senior Data Science Engineer Job Roles in South Carolina
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Search Senior Data Science Engineer Jobs in South CarolinaSenior Data Science Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in South Carolina?
Financial services firms, advanced manufacturers, and healthcare organizations are the most active sponsors for senior data science engineers in South Carolina. Companies like Synchrony, Michelin North America, BMW Manufacturing, and MUSC Health have histories of filing H-1B visa Labor Condition Applications for data science roles. Technology consulting firms with South Carolina offices also sponsor regularly, particularly for senior-level positions requiring specialized machine learning or data engineering expertise.
Which visa types are most common for senior data science engineer roles in South Carolina?
The H-1B is the most common visa category for senior data science engineers in South Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some employers also sponsor EB-2 or EB-3 green card petitions for senior engineers they wish to retain long term. Candidates with Canadian or Mexican citizenship may also explore the TN visa under the USMCA for qualifying roles.
Which cities in South Carolina have the most senior data science engineer sponsorship jobs?
Columbia leads in sponsorship activity due to state government agencies, University of South Carolina research affiliates, and a growing technology sector. Greenville is a strong second, driven by the Upstate manufacturing corridor anchored by BMW, Michelin, and a cluster of automotive suppliers with data science needs. Charleston is increasingly active, particularly in fintech, healthcare IT, and logistics analytics tied to the port economy.
How to find senior data science engineer visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for senior data science engineer roles in South Carolina without sifting through positions that won't support international candidates. You can narrow results by city, industry, and seniority level. Because sponsorship status is surfaced upfront, it saves significant time compared to applying broadly and confirming sponsorship eligibility later in the process.
Are there state-specific factors that affect senior data science engineer visa sponsorship in South Carolina?
South Carolina's growing university research pipeline, particularly through Clemson's data science programs and MUSC's biomedical informatics work, has expanded the pool of employers familiar with sponsoring international talent at the senior level. The state's manufacturing base means many data science roles are embedded within operations, supply chain, or quality engineering functions, which can affect how employers classify roles for specialty occupation purposes under H-1B petitions.
What is the prevailing wage for sponsored senior 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.