Data Scientist Salary in Atlanta — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Scientist base salaries in Atlanta.
The $116,000 median base for a data scientist in Atlanta is a useful anchor, but it conceals a story that ranges from a first-year analytics hire at a regional insurer to a senior ML engineer at a Midtown fintech clearing $220,000 base before equity. The number comes from BLS OEWS May 2024 metro-level data for SOC code 15-2051 in the Atlanta-Sandy Springs-Roswell MSA — it covers base wages only, excludes bonus and equity, and mixes every experience level and specialty into one bucket. Used correctly, it tells you whether an offer is in the ballpark. Used carelessly, it will either anchor you too low or price you out of realistic conversations.
For context, the national BLS median for the same occupation code in May 2024 was $112,590, with a p25 of $82,630 and a p90 of $194,410. Atlanta runs modestly above the national median — consistent with its position as a top-10 U.S. tech employment market — but well below coastal hubs like San Francisco ($156K+ median) or Seattle ($185K+). The gap shrinks considerably once taxes and housing enter the picture.
What the median hides
The headline number collapses a wide distribution. At the bottom of the Atlanta range ($88K p25), you’re typically looking at a data scientist with fewer than two years of experience at a company that treats the DS role as a glorified analyst function: pulling data from Redshift, building dashboards in Tableau, occasionally running logistic regressions. These roles are real and common in Atlanta’s large insurance, logistics, and healthcare-adjacent employer base.
At the 90th percentile ($190K+), the work looks entirely different. You’re a senior DS or staff-level ML engineer at a company like Equifax, NCR Voyix, or Cox Enterprises’ digital media division — shipping production models, owning ML infrastructure decisions, and mentoring junior contributors. The skills gap between p25 and p90 is enormous: deep Python, SQL at scale, productionized ML, and ideally a domain specialty in fintech credit models, retail supply-chain forecasting, or digital advertising attribution, which happen to be Atlanta’s three strongest data-science verticals.
The BLS OEWS survey is employer-reported and covers both full-time employees and contractors classified as employees. It does not capture equity, does not capture signing bonuses, and does not distinguish between base-only and base-plus-performance-pay arrangements. The actual cash-plus-equity picture adds roughly 18-22% to these base figures at mid-tier-and-above employers in Atlanta.
Atlanta versus other major data science hubs
Atlanta is not a data science afterthought. The metro had roughly 7,400 data scientist jobs as of the May 2024 OEWS survey — a larger concentration than many better-known tech cities. BLS projects employment of data scientists nationally to grow 34 percent from 2024 to 2034, nearly six times the average occupation growth rate, and Atlanta’s healthcare, fintech, and retail-tech sectors are positioned to outpace that average.
That said, the nominal pay gap with coastal markets is real:
- San Francisco ($156K+ BLS metro median): a 35% premium over Atlanta base. Most of that premium evaporates once you apply San Francisco’s COL index of 178.6 — an Atlanta $116K base has roughly equivalent purchasing power to a $215K San Francisco base. The real premium that survives the cost-of-living adjustment is roughly 8-12% in realized take-home, plus larger equity packages at FAANG-tier employers.
- Seattle ($185K BLS metro median, COL ~148): the “best deal” city for DS compensation on a net-of-tax basis, partly because Washington has no state income tax. The nominal gap over Atlanta is about $69K; adjusted for cost of living, it’s roughly $35K-$40K in real purchasing power advantage.
- New York ($155K-$165K metro median, COL ~180+): pays well but costs dearly. Atlanta wins on net take-home for anyone not in finance-adjacent roles.
- Remote-US bands: large companies paying national-tier-1 rates typically land around $150K-$175K base for mid-career DS roles and don’t require any relocation. For Atlanta-based candidates, competing remote-role offers from public tech companies are among the most useful negotiation tools.
The clearest takeaway: if you’re a mid-career Atlanta DS choosing between a local offer and a remote-only offer from a Bay Area company, price the remote offer at its stated base and compare to local total comp (base + bonus + equity + Atlanta COL savings). In most cases Atlanta total comp comes within 15-20% of a Bay Area remote TC, and the lifestyle math frequently tilts local.
What drives the spread: company tier, level, and specialty
Three factors explain why the P25-to-P90 range spans $102,000 inside a single metro:
Company tier. The clearest dividing line in Atlanta data science is between Fortune 500 headquarters and everyone else. The Home Depot runs a substantial data science practice from its Marietta Road campus focused on supply-chain optimization and e-commerce personalization; their DS roles have historically paid above local median and include meaningful equity. Equifax, headquartered in Sandy Springs, hires heavily at every level for credit risk modeling, fraud detection, and identity analytics — roles that pay well because the models ship to regulated financial products and the margin for error is low. NCR Voyix (payments and POS software, Midtown headquarters) and Cox Enterprises (cable, media, Autotrader) round out the corporate anchor employers. Below that tier, healthcare-adjacent companies (Piedmont Healthcare, Anthem’s GA operations, Navicent Health systems), logistics firms, and mid-stage B2B SaaS companies pay noticeably less — often 15-25% below the Fortune 500 anchor employers for equivalent levels.
Level. Entry-level DS (0-2 years, individual contributor with analytical work): $80K-$100K base in Atlanta. Mid-level (3-5 years, owns end-to-end projects, collaborates with product): $105K-$135K. Senior (5-8 years, leads modeling direction, mentors): $140K-$175K. Staff/Principal (8+ years, cross-functional scope, architectural decisions): $175K-$220K+ base. The BLS occupation code bundles all of these together, which is why the single-number median is almost useless for anyone except the modal “mid-level DS at a non-FAANG employer” — the one group it actually describes.
Specialty. The three highest-paying data science specialties in Atlanta in 2024-2025 were:
- Credit and risk modeling (Equifax ecosystem, payment processors): $130K-$185K senior base, with premiums for knowledge of Fair Credit Reporting Act-compliant model development and statistical explainability requirements under ECOA.
- Machine learning engineering and MLOps (Home Depot tech, Google’s Atlanta infrastructure teams, NCR): $140K-$200K for ICs who can own model deployment, monitoring, and retraining pipelines in production — not just train models in notebooks.
- Marketing mix modeling and attribution (Cox Enterprises’ Autotrader, Cardlytics, ad-tech satellite offices): $120K-$165K for DSes who understand multi-touch attribution, incrementality testing, and media optimization.
General-purpose analytics and reporting roles sit below the BLS median; Python-and-production-ML roles sit well above it. If your work lives entirely inside a BI tool and you have not deployed a model to production, the DS title may not command DS salary at Atlanta’s top-tier employers.
Total compensation: base, bonus, and equity
Atlanta data science comp structures are generally simpler than what you see in Seattle or San Francisco, but still meaningfully three-part:
Base salary: $116,000 (BLS p50). This is what flows to your W-2 and what most employers lock to a level band. At Fortune 500 Atlanta employers, recruiter discretion above the band midpoint is limited to 5-8%; moving further usually requires a competing written offer or a level adjustment.
Annual cash bonus: ~$14,000 (roughly 12% of base at p50 level). This matches what Built In’s 2024 Atlanta salary data shows as average additional cash compensation for DS roles. Corporate anchor employers like Home Depot and Equifax typically pay 10-15% target bonus tied to company performance and individual review rating; financial-services-adjacent employers (Cardlytics, Global Payments) sometimes reach 15-20%. Startups below Series B often pay zero formal bonus and compensate in equity narrative instead.
Equity/RSUs: ~$8,000 annualized at the median employer in Atlanta. This is far below what Seattle or SF DS roles carry, because Atlanta’s data science job base skews toward public Fortune 500 employers with modest equity compensation (Home Depot, Equifax, Cox) rather than hypergrowth tech companies with large RSU grants. The Home Depot runs four-year RSU grants for DS ICs in the $60K-$120K total range; annualized that’s $15K-$30K, which is at the higher end of the Atlanta DS equity band. Google and Microsoft satellite offices in Atlanta pay equity at Bay Area levels — if you land one of those roles, your equity package will be the outlier that renders the metro average irrelevant.
Total p50 comp: approximately $138,000 all-in. At p75 (senior level, corporate employer): the base of $152K plus 13-15% bonus and $25K-$40K annualized equity puts total comp in the $185K-$205K range. At p90 (staff/principal at a top-tier employer or a Google/Microsoft office role): $190K+ base, meaningful equity, and total comp of $230K-$260K+.
Cost-of-living adjusted picture
Atlanta’s composite cost-of-living index was approximately 95.7 in the Council for Community and Economic Research’s October 2024 survey — slightly below the U.S. national average (base 100). For a data scientist, this is a meaningful advantage.
The items that move the needle most: housing and transportation. The Atlanta metro median home price in 2024 was roughly $380,000, compared to $1.4M in San Francisco proper and $880,000 in Seattle. A data scientist making $116K in Atlanta and buying a median home is carrying a debt-to-income ratio that is simply impossible in San Francisco on $156K. Rent arithmetic is similar: a two-bedroom apartment in Midtown Atlanta runs $2,000-$2,400/month; the same in SOMA/Mission in SF runs $3,600-$4,400.
To make the comparison concrete: a $116,000 Atlanta base has the same purchasing power as roughly $215,000 in San Francisco (dividing by the 0.96/1.786 COL ratio). That means the Atlanta DS earning median base is living at a real-purchasing-power level equivalent to an SF DS earning $215K. Since the SF median is $156K — comfortably below that comparison point — Atlanta comes out ahead on realized lifestyle for anyone not in equity-heavy roles.
Georgia state income tax is flat at 5.49% on income above $750 (2024 rate), modestly below California’s graduated rates that hit 9.3% at $66,295 of taxable income and 10.3% at $338,639. On a $116K Atlanta salary, that’s roughly $6,300 in state tax; on the equivalent SF salary, a California resident would pay approximately $11,600 — a $5,300 annual cash advantage for Atlanta. Over a ten-year career, that gap is a car, a down-payment supplemental contribution, or a year of maxed 529 contributions.
Three-lever negotiation playbook
When you are holding a data scientist offer in Atlanta, the conversation is different from a San Francisco negotiation. Equity is rarely the big-ticket item. Here is where the leverage actually sits:
Lever 1: Use a competing offer from a remote-role employer. The single most powerful negotiation tool in Atlanta DS hiring is an offer from a public tech company (Amazon, Microsoft, Meta, Google, Stripe) for a remote-eligible role. These companies pay national-tier-1 bands that often run $150K-$175K base — well above Atlanta’s corporate-employer median. When you bring that offer to Home Depot, Equifax, or NCR, you are not asking them to match San Francisco pay; you are asking them to compete with a realistic remote alternative. That is a much more reasonable conversation and it often moves Atlanta corporate offers $10K-$20K above initial band midpoints.
Lever 2: Title and level, not just base. Atlanta’s Fortune 500 employers use internal banding systems where “Senior Data Scientist” and “Principal Data Scientist” map to specific salary ranges that do not overlap. If you are being offered a “Data Scientist II” role but your experience maps to “Senior Data Scientist,” the negotiation to change the leveling decision is worth $20K-$30K in base — far more than any base negotiation within a band. Ask the recruiter to confirm the internal level designation and the full band range (base + bonus target + equity guidelines) before negotiating base. Georgia’s Pay Transparency Act requirements are not as broad as California’s, but many Atlanta employers now voluntarily include ranges in job postings — use them.
Lever 3: Signing bonus for a no-equity role. At Atlanta employers who do not routinely grant equity to DS ICs (a large category in the healthcare and logistics segments), the signing bonus is the one-time lever that recruiters almost always have discretion to move. The ask is simple: “My current role has a four-month vesting cliff for the year-end bonus that I’m forfeiting to take this offer. Can we bridge that with a signing bonus?” A $10K-$25K signing ask framed this way rarely triggers pushback at an Atlanta corporate employer and most recruiters have authority to approve it without VP sign-off.
Data caveats
A few things to flag before you anchor to any number on this page:
BLS OEWS is lagged. The May 2024 data reflects wages paid in 2024. By mid-2026, real wages at top Atlanta employers have moved 5-10% above these figures for senior-to-staff roles given competition from remote tech hiring.
BLS captures base wages only. The OEWS survey explicitly excludes equity compensation, employer contributions to benefits, and one-time payments. For roles at equity-granting employers (Home Depot, Equifax, Google satellite offices), the BLS number understates total economic compensation by 10-25%.
SOC 15-2051 is a wide bucket. The BLS Data Scientist code includes roles that some employers call “Data Analyst,” “ML Engineer,” “Applied Scientist,” or “AI Engineer.” Two people holding the same SOC code at the same employer can have compensation $60K apart because the work and market demand are fundamentally different. Use the percentile data directionally and triangulate with Levels.fyi, local job posting salary ranges, and direct recruiter conversations to get within 5-8% of what an actual offer should look like for your specific role.
Atlanta’s data science market is faster-moving than the BLS snapshot suggests. The 2024-2026 period saw meaningful growth in Atlanta’s fintech and AI-adjacent hiring (Cardlytics, Global Payments, Kabbage/American Express, and new Google Cloud and Microsoft Azure regional teams). The 90th percentile in particular is likely understated relative to 2026 market conditions for senior ML and applied AI roles.
If you are actively navigating an Atlanta data science offer — comparing multiple options, deciding between local and remote, or trying to figure out which employers have the most room to move — a job tracker that keeps all the details in one place saves hours of spreadsheet archaeology. OfferFlow’s job tracking board is free to try and handles the parallel-offer comparison workflow that most DS hiring processes require.