Data science sits at the intersection of statistics, programming, and business strategy—and compensation reflects that rare combination. Here’s what data scientists earn by experience, industry, and location in 2026.

Data Scientist Salary by Experience Level

Level Years Experience Base Salary Total Comp (Tech) Total Comp (Finance/Consulting)
Entry-level 0-2 $75,000-$95,000 $100,000-$150,000 $85,000-$130,000
Mid-level 2-5 $95,000-$130,000 $150,000-$220,000 $120,000-$180,000
Senior 5-8 $130,000-$170,000 $220,000-$320,000 $160,000-$250,000
Lead/Principal 8-12 $160,000-$210,000 $300,000-$450,000 $200,000-$350,000
Director/VP 12+ $200,000-$280,000 $400,000-$700,000+ $300,000-$600,000

Data Scientist Salary by Industry

Industry Median Base Salary Why Higher/Lower
FAANG/Large tech $145,000-$180,000 Scaling advantage; equity adds significantly
Finance / Hedge funds $140,000-$200,000 Quant skills command premium
Consulting (MBB, Big 4) $110,000-$160,000 Diverse work; ladder promotions
Healthcare / Biotech $100,000-$140,000 Growing demand; regulatory complexity
E-commerce / Retail tech $110,000-$150,000 High-volume recommendation/pricing work
Startups (Series A-C) $100,000-$140,000 + equity Equity upside vs. lower base
Insurance / Financial services $95,000-$130,000 Stable; less top-end growth
Government / Academia $65,000-$95,000 Lower pay; more job security

Data Scientist Salary by State

State Median Salary Notes
California $135,000 Bay Area higher; LA/SD lower
Washington $128,000 Seattle strong; Amazon/Microsoft presence
New York $125,000 Finance DS roles; NYC premium
Massachusetts $118,000 Biotech + tech hub
Texas $105,000 Austin growing; no income tax helps
Colorado $108,000 Denver tech scene
Illinois $100,000 Chicago finance + tech
Georgia $97,000 Atlanta growth corridor
Florida $92,000 No income tax; lower salaries than tech hubs
National median $108,000
Role Median Salary Primary Skills Career Path
Data Scientist $108,000 Statistics, ML, Python DS II → Senior → Principal
Data Analyst $72,000 SQL, Excel, visualization Analyst → Senior → Manager
ML Engineer $130,000 ML systems, deployment MLE → Senior → Staff
Data Engineer $115,000 Pipelines, infrastructure DE → Senior → Architect
Business Intelligence $85,000 Dashboards, reporting BI → Senior → Manager

Data science and ML engineering have converged significantly—many senior DS roles now require production deployment skills traditionally held by engineers.

Skills That Increase Pay

Skill Salary Premium
Machine learning / deep learning +15-30%
LLM/GenAI implementation +20-40% (2025-2026 premium)
MLOps / model deployment +15-25%
Causal inference / A/B testing +10-20%
Distributed computing (Spark, BigQuery) +10-20%
Domain expertise (fintech, biotech, etc.) +10-25%
Research publications / PhD +10-15% at research orgs

Education and Certifications

Credential Pay Impact
BS in CS/Statistics/Math Entry qualification; median start
MS in Data Science/Statistics $10,000-$25,000 premium over BS
PhD Research lab or quant finance; top-end premium
Google/AWS ML certifications Modest signal; less than degree
Kaggle competitions Portfolio signal; helps entry-level

Graduate degrees matter more in data science than in software engineering—statistics depth and research experience differentiate senior practitioners.

Maximizing Your Data Scientist Income

Strategy Expected Impact
Move to FAANG / top tech 50-100% total comp increase vs. non-tech
Develop ML engineering skills (not just modeling) Move to higher-paying MLE track
Build domain expertise in high-value vertical +10-25% in finance, health tech
Negotiate offers using competing offers +10-20% on initial offer
Specialize in AI/LLM applications Top premium in current market
Consider quant finance if math-inclined Base salary comparable; bonus significant