Scientist Visa Sponsorship Jobs in South Carolina
South Carolina's scientist job market spans pharmaceutical manufacturing in Greenville, marine and environmental research along the coast, and agricultural science tied to Clemson University's research network. Major employers like Michelin, Milliken, and Clemson University have sponsored scientists through H-1B and O-1 visas, making the state a viable destination for international researchers and applied scientists.
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Get Access To All JobsDate: Apr 8, 2026
Location: Greenville, SC, US, 29601
Company: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
- Competitive Wages
- Health/Life Benefits
- Health Savings Account plus Employer Seed
- 401(k) Savings Plan with Company Match
- Paid Parental Leave
- Company Paid Holidays
- Paid Time Off including Volunteer Time
- Tuition Reimbursement
- Business Casual Environment
- Rewards & Recognition Program
- Employee Assistance Program
- Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks
Position Summary
Are you passionate about turning data into revenue? Join Purpose Financial's fast-growing Lead Generation team, where data scientists play a central role in driving customer acquisition strategy across credit-based channels. This position reports to the Director, Data Science – Lead Generation and supports the data science strategy powering ping tree and offer wall-based consumer loan acquisition. This role contributes to lead scoring, routing, experimentation, and performance optimization to drive profitable growth across third-party acquisition channels.
Job Responsibility
- Develop data science strategy for ping tree and offer wall lead generation
- Build and maintain models predicting conversion, approval, funding, loss, and lifetime value across acquisition funnels
- Build and maintain lead scoring models to prioritize high-quality acquisition leads
- Support real-time lead valuation, routing, and acceptance logic
- Design and execute A/B tests across acquisition funnels to improve model accuracy and business outcomes
- Automate data pipelines, reporting, and analysis to drive efficiency and provide actionable insights
- Develop processes to cleanse, integrate, and evaluate large, diverse datasets to derive insight into consumer financial behavior
- Evaluate new lead sources and traffic types in partnership with Marketing
- Perform ad-hoc analyses to support strategic decision-making and business initiatives
- Ensure compliance with company policies and industry regulations
- Collaborate closely with Marketing, Credit Risk, Engineering, and Operations teams
Accountability
Understand, adhere to, and enforce all corporate policies.
Education Required
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines (Advanced degree preferred).
Experience Required
- 2+ years of experience in data science or a related field, with a focus on attributable digital lead generation or customer acquisition.
- Proactive and self-driven with a strong sense of ownership — takes initiative, follows through, and holds themselves accountable for outcomes
- Experience with credit-based customer acquisition strategies, lead generation models, and marketing analytics in the financial services or consumer lending industry
- Proficiency in machine learning techniques and Python libraries (Pandas, scikit-learn, XGBoost, SHAP), with hands-on experience building and deploying machine learning models using Python or R
- Proficiency in SQL for data manipulation and analysis
- Proficiency in reporting tools such as Tableau or Power BI
- Comfortable solving complex problems using higher-level mathematics; ability to combine data from multiple sources and interpret business performance
- Excellent communication skills, both written and verbal, to communicate in person, by phone, and through email
- Flexibility to adapt to a dynamic, fast-paced environment with changing priorities
Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies
- Analytics
- Business Knowledge
- Data Science
- Data Visualization
- OKR
- Statistical Analysis
Travel
up to 5%
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46144
Nearest Major Market: Greenville
Nearest Secondary Market: South Carolina
Date: Apr 8, 2026
Location: Greenville, SC, US, 29601
Company: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
- Competitive Wages
- Health/Life Benefits
- Health Savings Account plus Employer Seed
- 401(k) Savings Plan with Company Match
- Paid Parental Leave
- Company Paid Holidays
- Paid Time Off including Volunteer Time
- Tuition Reimbursement
- Business Casual Environment
- Rewards & Recognition Program
- Employee Assistance Program
- Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks
Position Summary
Are you passionate about turning data into revenue? Join Purpose Financial's fast-growing Lead Generation team, where data scientists play a central role in driving customer acquisition strategy across credit-based channels. This position reports to the Director, Data Science – Lead Generation and supports the data science strategy powering ping tree and offer wall-based consumer loan acquisition. This role contributes to lead scoring, routing, experimentation, and performance optimization to drive profitable growth across third-party acquisition channels.
Job Responsibility
- Develop data science strategy for ping tree and offer wall lead generation
- Build and maintain models predicting conversion, approval, funding, loss, and lifetime value across acquisition funnels
- Build and maintain lead scoring models to prioritize high-quality acquisition leads
- Support real-time lead valuation, routing, and acceptance logic
- Design and execute A/B tests across acquisition funnels to improve model accuracy and business outcomes
- Automate data pipelines, reporting, and analysis to drive efficiency and provide actionable insights
- Develop processes to cleanse, integrate, and evaluate large, diverse datasets to derive insight into consumer financial behavior
- Evaluate new lead sources and traffic types in partnership with Marketing
- Perform ad-hoc analyses to support strategic decision-making and business initiatives
- Ensure compliance with company policies and industry regulations
- Collaborate closely with Marketing, Credit Risk, Engineering, and Operations teams
Accountability
Understand, adhere to, and enforce all corporate policies.
Education Required
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines (Advanced degree preferred).
Experience Required
- 2+ years of experience in data science or a related field, with a focus on attributable digital lead generation or customer acquisition.
- Proactive and self-driven with a strong sense of ownership — takes initiative, follows through, and holds themselves accountable for outcomes
- Experience with credit-based customer acquisition strategies, lead generation models, and marketing analytics in the financial services or consumer lending industry
- Proficiency in machine learning techniques and Python libraries (Pandas, scikit-learn, XGBoost, SHAP), with hands-on experience building and deploying machine learning models using Python or R
- Proficiency in SQL for data manipulation and analysis
- Proficiency in reporting tools such as Tableau or Power BI
- Comfortable solving complex problems using higher-level mathematics; ability to combine data from multiple sources and interpret business performance
- Excellent communication skills, both written and verbal, to communicate in person, by phone, and through email
- Flexibility to adapt to a dynamic, fast-paced environment with changing priorities
Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies
- Analytics
- Business Knowledge
- Data Science
- Data Visualization
- OKR
- Statistical Analysis
Travel
up to 5%
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46144
Nearest Major Market: Greenville
Nearest Secondary Market: South Carolina
Scientist Job Roles in South Carolina
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Search Scientist Jobs in South CarolinaScientist Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for scientists in South Carolina?
Employers with a history of sponsoring scientists in South Carolina include Clemson University, the Medical University of South Carolina (MUSC), Milliken and Company, and pharmaceutical and chemical manufacturers concentrated in the Greenville-Spartanburg corridor. Federal research facilities and environmental consulting firms operating in the coastal region also appear in Department of Labor H-1B disclosure data as sponsors for scientific roles.
Which visa types are most common for scientist roles in South Carolina?
The H-1B is the most common visa category for scientists in South Carolina, covering roles in chemistry, biology, materials science, and environmental science that require at least a bachelor's degree in a specific field. Researchers at universities like Clemson or MUSC may also qualify for J-1 exchange visitor status. Scientists with exceptional national or international recognition may pursue the O-1A. Each category has distinct employer obligations and eligibility requirements.
Which cities in South Carolina have the most scientist sponsorship jobs?
Columbia and Greenville account for the largest concentration of scientist sponsorship activity in South Carolina. Columbia is home to the University of South Carolina and state government research programs, while Greenville-Spartanburg hosts advanced manufacturing and materials science employers. Charleston has growing opportunities in marine science, environmental consulting, and biomedical research tied to MUSC's expanding research programs.
How to find scientist visa sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international job seekers and filters scientist roles in South Carolina by visa sponsorship status, so you're not sorting through listings that won't support work authorization. The platform surfaces employers with documented H-1B or O-1 sponsorship activity in scientific fields across Columbia, Greenville, and Charleston, helping you focus your search on positions where sponsorship is a realistic outcome.
Are there state-specific factors that affect visa sponsorship for scientists in South Carolina?
South Carolina's scientist hiring is closely tied to its university research infrastructure, particularly Clemson University's agriculture, materials, and engineering programs and MUSC's biomedical research divisions. These institutions regularly sponsor H-1B and J-1 holders and operate as cap-exempt employers for H-1B purposes, meaning they can file petitions year-round without waiting for the annual lottery. Private-sector employers in the state are subject to standard H-1B cap rules.
What is the prevailing wage for sponsored scientist 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.
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