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.
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Get Access To All JobsJOB TITLE: Manufacturing Data & SPC Engineer
DATE PREPARED: 05/2026
DATE LAST REVISED:
EXEMPT (Y/N): Yes
DEPARTMENT: e-VAC Magnetics LLC – Engineering
REPORTS TO: Engineering Manager
LOCATION: Sumter, SC
JOB SUMMARY:
The SPC / Data Engineer will play a critical role in establishing data-driven manufacturing processes for the permanent magnet production facility in Sumter, South Carolina. This position is responsible for developing and maintaining statistical process control (SPC) systems, manufacturing KPIs, data collection strategies, and production analytics. The role will work closely with Process Engineering, Operations, Quality, Automation Engineering, and IT to transform production data into actionable insights that improve process capability, yield, throughput, and overall manufacturing performance. The SPC / Data Engineer serves as a key enabler for structured root cause analysis and continuous improvement initiatives.
KEY RESPONSIBILITIES include but are not limited to the following.
Statistical Process Control (SPC)
- Develop and maintain SPC systems across manufacturing processes
- Support definition of critical process parameters and monitoring strategies
- Identify trends, variation, and process drift before product quality is affected
- Support implementation of control plans and reaction plans
Manufacturing Data & Analytics
- Develop manufacturing KPI dashboards and reporting tools
- Analyze production, quality, equipment, and process data
- Support data-driven decision making throughout manufacturing operations
- Establish standardized data collection and reporting practices
Root Cause Analysis & Continuous Improvement
- Support root cause investigations using statistical methods and data analysis
- Partner with Process Engineers to identify performance drivers and process limitations
- Develop analytical tools to support continuous improvement activities
- Quantify the effectiveness of corrective and preventive actions
- Participate in DMAIC, 8D, and structured problem-solving initiatives
Systems & Data Integration
- Support integration of manufacturing equipment, automation systems, MES, and quality systems
- Collaborate with Automation Engineering and IT to improve data availability and accuracy
- Develop automated reports and performance dashboards
- Ensure data integrity and consistency across manufacturing systems
Reporting & Performance Management
- Maintain weekly and monthly manufacturing KPI reporting
- Prepare management reports and performance summaries
- Develop trend analyses and performance forecasts
- Support engineering and operations reviews with fact-based data insights
Documentation & Standards
- Develop standards for data collection, KPI definitions, and reporting methodologies
- Maintain documentation related to SPC systems and analytical tools
- Support audit readiness through accurate process and performance records
EDUCATION AND EXPERIENCE
- Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Data Analytics, Statistics, Engineering, Computer Science, or a related field
- Minimum 3–7 years of experience in manufacturing analytics, SPC, process engineering, or industrial data analysis
- Experience working within high-volume manufacturing environments
- Experience implementing SPC methodologies and process capability studies
Preferred
- Automotive manufacturing experience
- Experience with MES systems and manufacturing databases
- Experience with Power BI, Tableau, SQL, or similar reporting tools
- Experience with Lean Manufacturing and Six Sigma methodologies
REQUIREMENTS:
- Travel Requirements: 10% (as needed, domestic or international travel)
LANGUAGE SKILLS:
English, German beneficial
SUPERVISORY RESPONSIBILITES
No formal direct reports
EMPLOYMENT AT WILL
This job description is intended as an outline of the duties of the position at VACUUMSCHMELZE and is subject to change by VAC from time to time. It is NOT a contract of employment. Employment at VAC is voluntarily entered into and is subject to termination by you or VAC AT WILL, with or without cause at any time, either party believes such action to be appropriate.
JOB TITLE: Manufacturing Data & SPC Engineer
DATE PREPARED: 05/2026
DATE LAST REVISED:
EXEMPT (Y/N): Yes
DEPARTMENT: e-VAC Magnetics LLC – Engineering
REPORTS TO: Engineering Manager
LOCATION: Sumter, SC
JOB SUMMARY:
The SPC / Data Engineer will play a critical role in establishing data-driven manufacturing processes for the permanent magnet production facility in Sumter, South Carolina. This position is responsible for developing and maintaining statistical process control (SPC) systems, manufacturing KPIs, data collection strategies, and production analytics. The role will work closely with Process Engineering, Operations, Quality, Automation Engineering, and IT to transform production data into actionable insights that improve process capability, yield, throughput, and overall manufacturing performance. The SPC / Data Engineer serves as a key enabler for structured root cause analysis and continuous improvement initiatives.
KEY RESPONSIBILITIES include but are not limited to the following.
Statistical Process Control (SPC)
- Develop and maintain SPC systems across manufacturing processes
- Support definition of critical process parameters and monitoring strategies
- Identify trends, variation, and process drift before product quality is affected
- Support implementation of control plans and reaction plans
Manufacturing Data & Analytics
- Develop manufacturing KPI dashboards and reporting tools
- Analyze production, quality, equipment, and process data
- Support data-driven decision making throughout manufacturing operations
- Establish standardized data collection and reporting practices
Root Cause Analysis & Continuous Improvement
- Support root cause investigations using statistical methods and data analysis
- Partner with Process Engineers to identify performance drivers and process limitations
- Develop analytical tools to support continuous improvement activities
- Quantify the effectiveness of corrective and preventive actions
- Participate in DMAIC, 8D, and structured problem-solving initiatives
Systems & Data Integration
- Support integration of manufacturing equipment, automation systems, MES, and quality systems
- Collaborate with Automation Engineering and IT to improve data availability and accuracy
- Develop automated reports and performance dashboards
- Ensure data integrity and consistency across manufacturing systems
Reporting & Performance Management
- Maintain weekly and monthly manufacturing KPI reporting
- Prepare management reports and performance summaries
- Develop trend analyses and performance forecasts
- Support engineering and operations reviews with fact-based data insights
Documentation & Standards
- Develop standards for data collection, KPI definitions, and reporting methodologies
- Maintain documentation related to SPC systems and analytical tools
- Support audit readiness through accurate process and performance records
EDUCATION AND EXPERIENCE
- Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Data Analytics, Statistics, Engineering, Computer Science, or a related field
- Minimum 3–7 years of experience in manufacturing analytics, SPC, process engineering, or industrial data analysis
- Experience working within high-volume manufacturing environments
- Experience implementing SPC methodologies and process capability studies
Preferred
- Automotive manufacturing experience
- Experience with MES systems and manufacturing databases
- Experience with Power BI, Tableau, SQL, or similar reporting tools
- Experience with Lean Manufacturing and Six Sigma methodologies
REQUIREMENTS:
- Travel Requirements: 10% (as needed, domestic or international travel)
LANGUAGE SKILLS:
English, German beneficial
SUPERVISORY RESPONSIBILITES
No formal direct reports
EMPLOYMENT AT WILL
This job description is intended as an outline of the duties of the position at VACUUMSCHMELZE and is subject to change by VAC from time to time. It is NOT a contract of employment. Employment at VAC is voluntarily entered into and is subject to termination by you or VAC AT WILL, with or without cause at any time, either party believes such action to be appropriate.
Data Science Engineer Job Roles in South Carolina
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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.