The annual salary statistics of data scientists in Myrtle Beach-North Myrtle Beach-Conway, South Carolina is shown in Table 1. The wage statistics of data scientists in Myrtle Beach-North Myrtle Beach-Conway is based on the national compensation survey conducted by the U.S. Bureau of Labor Statistics in 2022 and published in April 2023 [1].
| Percentile Bracket | Average Annual Salary |
|---|---|
| 10th Percentile Wage | $53,850 |
| 25th Percentile Wage | $85,870 |
| 50th Percentile Wage | $100,390 |
| 75th Percentile Wage | $117,460 |
| 90th Percentile Wage | $120,940 |
Table 1 shows the average annual salary for data scientists in Myrtle Beach-North Myrtle Beach-Conway, South Carolina in 5 percentile scales. The average annual salary for the 90th percentile (the top 10 percent of the highest paid) is $120,940. The median (50th percentile) annual salary is $100,390. The average annual salary for the bottom 10 percent earners is $53,850.
From Table 3 we note that with a median annual salary of $100,390, Myrtle Beach-North Myrtle Beach-Conway is the second highest paying city for data scientists in state of South Carolina, following the highest paying city Charlotte-Gastonia-Rock Hill (median annual salary of $134,190). Compared with Charlotte-Gastonia-Rock Hill, the median annual salary of data scientists in Myrtle Beach-North Myrtle Beach-Conway is 25.2 percent (25.2%) lower.
| Cities/Areas | Median Annual Salary |
|---|---|
| Charlotte-Gastonia-Rock Hill | |
| Myrtle Beach-North Myrtle Beach-Conway | |
| Northeast South Carolina nonmetropolitan area | |
| Spartanburg | |
| Greenville-Mauldin-Easley | |
| Charleston-North Charleston-Summerville | |
| Columbia | |
| Augusta-Richmond County |