Statistician Salary Guide

Statisticians in Technology - Data & Analytics apply statistical theory and methods to collect, analyze, and interpret data. They design experiments, build predictive models, validate assumptions, and translate findings into actionable insights for product, research, and business decision-making.

What is the average Statistician salary?

Entry Level

$70,000 - $95,000

Mid Level

$95,000 - $140,000

Senior Level

$140,000 - $210,000

How does Statistician salary grow with experience?

$65,000 - $90,000

0-2

$90,000 - $120,000

2-5

$120,000 - $160,000

5-10

$150,000 - $220,000+

10+

Base (min)

Top of range (max)

Max: $220k

Statistician salary by location

San Francisco Bay Area (CA)$140,000 - $220,000

New York City (NY)$120,000 - $200,000

Seattle (WA)$125,000 - $195,000

Austin (TX)$100,000 - $165,000

Remote / National Average (U.S.)$90,000 - $160,000

Base (min)

Top of range (max)

What factors affect a Statistician's salary?

Technical skills: proficiency in R/Python, Bayesian methods, causal inference, and machine learning
Industry/domain expertise: finance, biotech, advertising, and tech product analytics pay a premium
Employer type and size: FAANG and well-funded startups often offer higher base pay and equity
Location and cost of living: major tech hubs and international differentials significantly impact pay
Advanced degrees and publications: PhD or peer-reviewed research can raise compensation, especially for research-focused roles

Frequently Asked Questions About Statistician Salaries

What is the average salary for a statistician in tech?

Average tech-sector statistician pay varies by level: entry-level ~$70K–$95K, mid-level ~$95K–$140K, and senior roles ~$140K–$210K annually in the U.S.

How does location affect a statistician's salary?

Location significantly affects pay — major tech hubs (e.g., San Francisco, New York, Seattle) typically pay 20–50% more than smaller markets, reflecting cost of living and demand.

Which skills increase a statistician's compensation the most?

Advanced statistical modeling, machine learning, programming in Python/R, big data tooling (Spark), and domain expertise (e.g., genomics, finance, A/B testing) are top pay drivers.

Can statisticians earn more by moving into related roles?

Yes. Transitioning to data science, machine learning engineering, or analytics leadership often increases total compensation through higher base pay and equity opportunities.