Data Science Analyst Visa Sponsorship Jobs in South Carolina
Data science analyst roles in South Carolina are concentrated in financial services hubs like Charlotte's cross-border market in Fort Mill and Rock Hill, plus Columbia's state government and health system employers, and Charleston's growing tech sector. Major employers including BlueCross BlueShield of South Carolina, Santee Cooper, and SCANA have sponsored data science talent through H-1B visa and other work visas.
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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:
Data Science Analyst Job Roles in South Carolina
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Search Data Science Analyst Jobs in South CarolinaData Science Analyst Jobs in South Carolina: Frequently Asked Questions
Which companies in South Carolina sponsor visas for data science analysts?
Financial services and insurance companies lead H-1B sponsorship for data science analysts in South Carolina. BlueCross BlueShield of South Carolina, Synnex (now TD SYNNEX), and Dominion Energy are among employers with documented sponsorship histories. State government agencies and large health systems like MUSC Health also hire data science talent, though their sponsorship patterns differ from private sector employers.
Which visa types are most common for data science analyst roles in South Carolina?
The H-1B is the most common visa for data science analysts in South Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Some candidates with advanced degrees pursue the EB-2 employment-based immigrant visa pathway. International graduates at South Carolina universities may begin on F-1 OPT or STEM OPT before transitioning to employer-sponsored status.
How to find data science analyst visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically for visa sponsorship, making it easier to identify data science analyst roles in South Carolina without sorting through positions that don't offer sponsorship. You can search by role and state to surface relevant openings from financial services companies in Columbia, healthcare employers in Charleston, and tech-adjacent firms in the Greenville-Spartanburg corridor. Filtering by sponsorship type helps narrow results to your visa situation.
Which cities in South Carolina have the most data science analyst sponsorship jobs?
Columbia has the highest concentration of data science analyst roles given the presence of BlueCross BlueShield of South Carolina, state government agencies, and the University of South Carolina. Charleston is growing quickly, driven by tech company expansion and MUSC Health's analytics needs. The Greenville-Spartanburg area hosts manufacturing and logistics firms with emerging data functions. Fort Mill and Rock Hill benefit from proximity to Charlotte's larger financial services market.
Are there state-specific considerations for data science analysts seeking visa sponsorship in South Carolina?
South Carolina does not have its own state-level work visa program, so federal H-1B rules and prevailing wage requirements set by the Department of Labor apply. Employers must file a Labor Condition Application certifying the offered wage meets the prevailing wage for the role and location. Data science analyst positions in Columbia and Charleston may have different prevailing wage levels, which affects what sponsoring employers are required to pay regardless of market rates.
What is the prevailing wage for sponsored data science analyst 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.