Data Scientist Salary in South Carolina

How Much Does a Data Scientist Make in South Carolina?

In South Carolina, Data Scientists earn a median of $90,660, with most earning between $73,050 and $108,610 (BLS Occupational Employment Statistics, May 2024).

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Your actual take-home pay as a Data Scientist in South Carolina depends on:

• Your specific salary or hourly rate
• Federal income tax (10% to 37% progressive rates)
• FICA taxes (7.65% for Social Security and Medicare)
• South Carolina state income tax
• Local taxes (if applicable in your city)
• Health insurance and retirement contributions
• Cost of living in your specific city or region

Taxes for Data Scientist in South Carolina

As a Data Scientist working in South Carolina, you'll pay the following taxes on your income:

Federal Income Tax

Everyone in the US pays federal income tax, including Data Scientist professionals. The federal tax system uses progressive tax brackets ranging from 10% to 37%, meaning you pay different rates on different portions of your income.

FICA Taxes

Social Security and Medicare taxes (FICA) total 7.65% of your gross income:

• Social Security: 6.2% (on first $168,600 in 2025)
• Medicare: 1.45% (no income limit)
• Additional Medicare: 0.9% on income over $200,000

South Carolina State Income Tax

South Carolina has a state income tax that applies to all Data Scientist salaries earned in the state. The exact rate depends on South Carolina's tax brackets and your total income.

Use our South Carolina salary calculator to see your exact state tax based on your Data Scientist salary.

Cost of Living for Data Scientist in South Carolina

Your Data Scientist salary goes further or shorter depending on the cost of living in your area of South Carolina. Key factors include:

• Housing: Rent or mortgage payments (often 25-35% of take-home pay)
• Transportation: Car payments, gas, insurance, or public transit
• Food: Groceries and dining out
• Healthcare: Insurance premiums, copays, prescriptions
• Utilities: Electric, gas, water, internet

A $90,660 Data Scientist salary in a low-cost area of South Carolina provides significantly more buying power than the same salary in an expensive metro area.

Data Scientist Salary Examples in South Carolina

Here's what different Data Scientist salary levels look like in South Carolina:

Estimated for a single filer, standard deduction, 2026 federal tax rates. Calculate your exact take-home →

Calculate your exact take-home pay: These are estimates. For precise calculations based on your specific situation, use our South Carolina salary calculator.

Compare Data Scientist Salaries Across States

The same Data Scientist salary can result in very different take-home pay depending on the state:

• No-tax states (TX, FL, NV, TN, WA): Higher take-home pay
• Low-tax states (AZ, IN, ND, PA): Moderate take-home pay
• High-tax states (CA, NY, NJ, HI): Lower take-home pay

A $90,660 Data Scientist salary in California results in about $4,533 to $9,066 less take-home pay per year compared to the same salary in a no-tax state.

Frequently Asked Questions

What is the average Data Scientist salary in South Carolina?

The median Data Scientist salary in South Carolina is $90,660 (BLS, May 2024), with most earning between $73,050 and $108,610.

How much does a Data Scientist make after taxes in South Carolina?

A Data Scientist earning the South Carolina median of $90,660 takes home approximately $67,826 per year after federal tax (~$11,115) and FICA (~$6,935), plus South Carolina state tax (~$4,784). Estimated for a single filer, standard deduction, 2026 federal tax rates. Calculate your exact take-home →

Is South Carolina a good state for Data Scientist professionals?

It depends on your priorities. Consider South Carolina's cost of living, career opportunities, quality of life, and state tax burden when evaluating your options.

Next Steps

Ready to see your exact Data Scientist take-home pay in South Carolina?

Use our South Carolina salary calculator →

Or compare Data Scientist salaries across different states to find the best location for your career.