Data Scientists Salary

Yes — at the median salary of $92K, rent takes 25.6% of take-home pay. A 2-bedroom at the HUD Fair Market Rent runs $1,465/month. That stays under the 30% guideline most financial planners use.

The 10th-percentile wage — what new data scientists typically earn — is $66K/year. Take-home on that works out to about $3,934/month. At HUD’s $1,465/month FMR, rent would take 37% of that take-home — above the 30% guideline, so a 1-bedroom or shared housing is likely necessary starting out.

Local pay runs 24% below the national median — $92K here vs. $120K nationally. Cost of living is 6% below the national average, which narrows that gap in real purchasing power.

Myrtle Beach-Conway-North Myrtle Beach pays $92K median vs. the U.S. average of $120K — that’s -24%. After adjusting for local cost of living (RPP 93.64), the purchasing-power equivalent is $98K — below the national median.

The median is $91,740 a year, that works out to about $44 an hour. But the range is wide: entry-level workers start around $65,570, and experienced data scientists can clear $141,710. These are BLS numbers, based on employer-reported data, not self-reported surveys.

On that salary, you'd take home roughly $5,723/month after taxes. A 2-bedroom here rents for about $1,465/month, which eats 25.6% of your paycheck. That's under the 30% guideline most financial planners use, so the numbers work.

Myrtle Beach-Conway-North Myrtle Beach has a Regional Price Parity of 93.64 (100 is the national average). That's below average, your money stretches further here than the raw salary number suggests. After cost-of-living adjustment, the median data scientists salary is worth about $97,971 in national-average purchasing power.

The table above ranks every state by median pay for this role. Keep in mind that the highest-paying states tend to have the highest costs of living, so the top salary doesn't always mean the most money in your pocket.