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Labor Market Pulse
Myrtle Beach-Conway-North Myrtle Beach, SC Metro Edition
Focus: IT
Myrtle Beach IT pay splits: infrastructure up, data science down.
4.2%
Metro unemployment rate
Sept 2026, vs 4.1% national
$105,565
Metro Network Engineer pay growth
Up significantly, vs $114,400 national
$72,150
Metro Data Scientist pay decline
Down significantly, vs $148,250 national
-2,300 YoY
SC statewide information sector jobs
Even as professional/tech services grew 2.4%
This Month's Takeaways
Data science pay is collapsing locally while the national market heats up.
Metro Data Scientist advertised pay fell significantly to $72,150 against a national median of $148,250, a gap wide enough to suggest local employers aren't competing for this skill set at all. Organizations with analytics needs may find distributed hiring or contracted data science talent more economically rational than local recruitment.
Network Engineer pay signals a real, not cyclical, local scarcity.
Metro Network Engineer pay rose significantly to $105,565, outpacing even the national median of $114,400 in year-over-year momentum. Tourism-driven infrastructure demand and coastal connectivity build-out appear to be pulling this role into genuine competitive territory — a candidate for premium retention budgeting.
Help desk compression continues unabated in this metro.
Help Desk/IT Support pay fell to $47,840, a significant decline that tracks the national pattern of AI-driven compression in entry-level IT functions. This reinforces the case for shifting commodity support work to contracted or managed-service arrangements rather than permanent local headcount.
Cybersecurity pay has gone flat locally just as national demand accelerates.
Metro Cybersecurity Analyst pay is stable at $94,411 while national pay climbs toward $106,790, with CompTIA data showing cybersecurity job growth running 346% above the national average. Flat local pay in a nationally hot specialty may understate real retention risk — this is a role to benchmark more frequently than its stability suggests.
Local Labor Conditions
Myrtle Beach metro unemployment held at 4.2% in September as nonfarm payrolls grew by 29,000, with hiring concentrated in leisure/hospitality and trade/transportation rather than tech-adjacent sectors, leaving IT roles to compete for talent against a tightening statewide labor pool at 3.2%-4.1% unemployment. Seasonal tourism-driven hiring is cooling post-summer peak, but metro-level wage data shows a sharp divergence from national IT trends — Data Scientist advertised pay fell to a $72,150 median locally against $148,250 nationally, suggesting local demand for advanced analytics talent remains thin even as national employers bid aggressively for the same skill set.
Leadership & Talent Implications
Local advertised pay for Data Scientist and Software Engineer roles is declining or flat while national medians climb, which is consistent with Myrtle Beach functioning as a cost-arbitrage labor pool rather than a competitive hub for advanced technical talent — a dynamic that favors remote-first hiring strategies and outsourcing of specialized AI/data work rather than local buildout. Network Engineer and Systems Administrator pay, by contrast, posted significant local gains, pointing to genuine infrastructure talent scarcity tied to coastal/tourism-economy connectivity and hospitality tech demands. Consider reviewing whether specialized cloud, AI, and data science functions are better sourced through distributed or contract talent while reserving premium local compensation budgets for infrastructure and network roles where metro scarcity is real and pay signals confirm it.
