How Much Do Data Scientists Make in 2026? (Salary by Level)

Data scientists in the US earn $125,900 on average — with Big Tech and AI roles paying $200,000-$500,000+ total compensation.

Average Data Scientist Salary in 2026

Metric Amount
Average salary $125,900
Median salary $120,000
Entry level $95,000-$130,000
Mid-level $130,000-$175,000
Senior $160,000-$220,000
Principal/Staff $200,000-$300,000+

Data Scientist Salary by Level

Level Years Base Salary Total Comp (Big Tech)
Junior/Entry 0-2 $95,000-$130,000 $140,000-$200,000
Mid-Level 2-5 $130,000-$170,000 $200,000-$300,000
Senior 5-8 $160,000-$220,000 $280,000-$400,000
Staff/Principal 8-12 $200,000-$280,000 $380,000-$550,000
Director/Head 10+ $250,000-$350,000 $450,000-$700,000
Role Average Salary Growth Rate
ML Engineer $145,000 Fastest
AI/Research Scientist $160,000 Fast
Data Scientist $125,900 Moderate
Data Engineer $130,000 Fast
Data Analyst $80,000 Moderate
Business Intelligence $85,000 Slow

ML Engineers and AI specialists now command the highest premiums in the data field.

Data Scientist Salary by Company

Company Entry TC Senior TC
OpenAI $200,000+ $500,000+
Meta $195,000 $400,000+
Google $190,000 $380,000+
Netflix $300,000+ $500,000+
Apple $180,000 $350,000+
Amazon $175,000 $340,000+
Microsoft $165,000 $320,000+
Airbnb $180,000 $380,000+
Two Sigma $200,000+ $500,000+
Citadel $200,000+ $600,000+

High-frequency trading firms and AI companies pay the most.

Data Scientist Salary by Industry

Industry Average Salary Notes
Hedge Funds/Quant Finance $180,000-$300,000 +50% bonus
Big Tech $150,000-$200,000 + significant RSUs
AI/ML Startups $140,000-$180,000 + equity upside
Healthcare/Biotech $130,000-$160,000 Growing field
E-commerce $125,000-$160,000 Standard
Finance/Banking $120,000-$160,000 Stable
Consulting $115,000-$150,000 Variable
Retail $100,000-$130,000 Below average
Government $80,000-$120,000 Good benefits

Data Scientist Salary by Location

Location Average Salary vs. National
San Francisco $165,000 +30%
New York $155,000 +23%
Seattle $150,000 +19%
Boston $140,000 +11%
Los Angeles $135,000 +7%
Austin $125,000 -1%
Denver $120,000 -5%
Chicago $118,000 -6%
Atlanta $110,000 -13%
Remote (US) $120,000-$160,000 Varies

Data Science Specializations

Specialization Salary Premium Demand
Generative AI/LLMs +30-50% Very High
Computer Vision +20-35% High
NLP/Conversational AI +20-35% High
Recommendation Systems +15-25% High
Time Series/Forecasting +10-20% Moderate
A/B Testing/Experimentation +5-15% Moderate
Traditional ML Baseline Moderate

Education Requirements

Education Salary Impact % of Data Scientists
PhD +15-25% 25%
Master’s Baseline 55%
Bachelor’s -5-10% 18%
Bootcamp/Self-taught -15-25% 2%

A master’s degree is the most common credential; PhDs are valued for research roles.

Data Scientist Salary After Taxes

Total Comp Federal Tax FICA State Tax (CA) Net
$150,000 $24,500 $11,475 $10,500 $103,525
$250,000 $52,000 $11,773 $20,000 $166,227
$400,000 $100,000 $11,773 $36,000 $252,227
$500,000 $135,000 $11,773 $47,500 $305,727

How to Become a Data Scientist

Path Duration Cost
Bachelor’s + Master’s in CS/Stats 6 years $80,000-$200,000
Bachelor’s + Data Science MS 5-6 years $80,000-$180,000
PhD (research roles) 9-11 years Often funded
Bootcamp (career switch) 3-6 months $10,000-$20,000

Most competitive for those with strong math/stats + CS background.

Data Scientist vs. ML Engineer

Factor Data Scientist ML Engineer
Focus Analysis, modeling Production systems
Coding Python, R, SQL Python, C++, systems
Math emphasis Higher Lower
Salary $125,900 $145,000
Career trajectory Analytics leadership Tech leadership

Many data scientists are transitioning toward ML engineering roles.

Career Progression

Path Role Salary
IC Track DS → Senior DS → Staff DS → Principal DS $95K → $300K+
Management DS → Manager → Director → VP $95K → $400K+
Research DS → Research Scientist → Principal Scientist $95K → $350K+
Pivot DS → ML Engineer → Staff MLE $95K → $350K+

Is Data Science Worth It?

Pros:

  • High compensation ($125,000+ average)
  • Intellectually stimulating
  • High demand (with right skills)
  • Remote-friendly
  • Impact across industries

Cons:

  • PhD often preferred for top roles
  • Field is maturing (less “gold rush”)
  • ML engineering increasingly preferred
  • Requires continuous learning
  • Some roles are becoming commoditized

Bottom Line

Data scientists earn $125,900 average, with Big Tech and finance paying $200,000-$500,000+ for senior talent. The field has evolved — pure analysis roles face more competition, while ML engineering and AI specialization command premiums. Generative AI expertise is currently the highest-demand skill set.

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