$133,000Average salary
$133,000Annual benchmarkSalaries in United States2026 Salary Report
Data Scientist salary in United States.
A successful Data Scientist uses statistics, experiments, and predictive models to answer consequential product and business questions. Rather than measuring activity alone, organizations usually evaluate the role through accuracy, data freshness, decision usefulness, adoption, reproducibility, and time to insight. For United States, this report combines salary benchmarks in USD with modeled assumptions for a 24% tax rate, 0 days of annual leave, and a 100.0 cost-of-living index relative to the United States baseline.
$133,000Estimated annual average
$8,423Estimated monthly take-home
$41.56–$99.11Hourly equivalent range
10 Aug 2026Last benchmark update
Compensation overview
One role, four useful reference points.
Salary ranges reflect different experience levels. Actual offers can vary with company size, industry, location, contract type, specialized skills, benefits, equity, and negotiation.
High accuracy3259 recent job listings and community reports shaped this estimateUpdated 10 Aug 2026
Junior
$81,800–$107,3000-2 yearsMid-level
$108,700–$164,3003-5 yearsSenior
$156,000–$251,1006+ yearsEarnings breakdown
Monthly take-homeEstimated after an average 24% tax rate
$8,423Hourly equivalentBased on a standard 40-hour week
$41.56–$99.11Potential annual bonusIllustrative 10–15% performance range
$13,300–$19,950Planning reference
Monthly savings target36% illustrative allocation
$3,900Retirement contribution12% illustrative allocation
$1,300Housing budgetIllustrative 20% monthly ceiling
Up to $2,200Emergency fundThree to six months of gross income
$33,250–$66,500Healthcare infrastructure
Private-market healthcare estimateIllustrative annual allowance for medical, dental, and vision insurance in a private-tier employment or contractor market
≈ $7,980/year
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12-month trend
How the estimate has moved.
The estimated average changed by 0.7% over the displayed period, moving from $132,100 to $133,000.
| Period | Annual | Hourly |
|---|---|---|
| Aug 2026 | $133,000 | $42–$99 |
| Jul 2026 | $135,100 | $42–$101 |
| Jun 2026 | $131,700 | $41–$98 |
| May 2026 | $138,100 | $43–$103 |
| Apr 2026 | $130,300 | $41–$97 |
| Mar 2026 | $133,400 | $42–$99 |
| Feb 2026 | $131,600 | $41–$98 |
| Jan 2026 | $135,700 | $42–$101 |
| Dec 2025 | $136,100 | $43–$101 |
| Nov 2025 | $127,800 | $40–$95 |
| Oct 2025 | $132,100 | $41–$98 |
| Sep 2025 | $132,100 | $41–$98 |
Current opportunities
Move from research to the live market.
These current remote openings provide additional context for titles, employers, and the way this role appears in active hiring.
Career profile
What shapes success in this role.
Education is only one signal. Skills, tools, collaboration habits, work environment, and continued learning often have equal influence on compensation and progression.
Experience and baseline requirements
Typically 4-7 years of directly relevant experience supported by evidence of independent, high-impact delivery
Required skills
Education requirements
A degree in statistics, mathematics, computer science, economics, or equivalent analytical experience
Practical evidence of turning incomplete data into reproducible analysis or dependable data products
Training and development
Dashboard accessibility reviews
Privacy-aware analytics training
Advanced SQL and query optimization
Data governance workshops
Experiment design practice
Core skills
Trending and emerging skills
Key responsibilities
Own the planning and delivery of work in the Data Scientist remit, from initial problem definition through measurable follow-up
Apply domain expertise to role-specific decisions while balancing quality, speed, risk, and stakeholder expectations
Define practical success measures and review progress against accuracy, data freshness, decision usefulness, adoption, reproducibility, and time to insight
Investigate problems using relevant qualitative and quantitative evidence before recommending action
Coordinate dependencies and decisions with adjacent teams, escalating material risks early and clearly
Create concise documentation so methods, assumptions, decisions, and handoffs can be reviewed and reused
What can increase compensation
Scale and sensitivity of governed datasets
Business criticality of owned metrics
Data volume, quality, and modeling complexity
Advanced SQL and analytical depth
Ownership of trusted business metrics
Experimentation and statistical expertise
Modern data-platform experience
Typical career path
Work specifics
Remote data team with shared metric definitions, versioned analysis, peer review, and governed access
Translates questions from product, finance, operations, and leadership into measurable analytical work
Usually asynchronous, with scheduled overlap for planning, reviews, customer needs, or incident response
SQL
Python
dbt
Snowflake
Tableau
Power BI
Git
Common and additional benefits
Remote Work Options
Flexible Hours
Home Office Allowance
High-end Hardware Budget
Learning & Development Stipend
Mental Health Support
Coworking Space Access
Internet Allowance
Similar positions
Market intelligence
Demand beyond the salary range.
Compensation is influenced by hiring pressure, growth, remote availability, industry demand, and the scarcity of relevant skills.
High
Current hiring-demand signal for this role across the tracked market.
20% annual growth
Estimated direction of role demand and compensation opportunity.
High
Adoption of sophisticated project management tools and productivity tracking systems for remote teams
Key industries
Cross-country pay scale
See how the same role changes by market.
These comparisons apply Jobicy’s country multipliers to the same role model. Differences reflect market context rather than currency conversion alone.
UAE
Austria
Australia
Belgium
Canada
Switzerland
Germany
SpainQuestions answered
Frequently asked questions.
Quick answers about salary, hourly rates, skills, market outlook, and benefits for this role.
What is the average Data Scientist salary in United States?
The estimated average annual salary is $133,000. Junior roles are estimated at $81,800–$107,300, while senior roles are estimated at $156,000–$251,100.
What is the hourly rate for this role?
The estimated hourly equivalent is between $41.56 and $99.11 based on a standard full-time schedule. Contract rates may differ.
Which skills are most relevant?
Core skills include Predictive modeling, Causal reasoning, Feature engineering, Model validation, SQL. Trending and emerging requirements include Data governance, Semantic layers, Self-service analytics, Modern data stacks, Analytics engineering.
What is the market outlook?
Jobicy currently classifies demand as High, with a growth signal of 20% annual growth. Availability differs by industry, country, and employer.
Are these salary estimates guaranteed?
No. The figures are informational benchmarks based on market evidence and economic adjustments. Actual compensation depends on experience, skills, location, employer, contract type, benefits, and negotiation.
Methodology
How this estimate is prepared.
Each Jobicy salary benchmark is produced from our own analysis of compensation signals for this role and market. The estimate is designed as a practical reference, not a guaranteed offer.
Jobicy market sample
We analyze up to 1,000 recent and relevant job listings for Data Scientist in United States, using disclosed pay ranges and other compensation signals available in the listings.
Local market calibration
Observed compensation signals are normalized for United States and reviewed across experience levels, currency, work arrangements, and local market conditions.
Anonymous community signals
Anonymous salary information and estimate feedback submitted by Jobicy users through our salary form are used as additional signals when reviewing and refreshing the benchmark.
Jobicy data and disclaimer
This benchmark is a Jobicy estimate based on our analysis of recent job-market compensation signals for Data Scientist in United States, including a sample of up to 1,000 relevant job listings and anonymous salary signals submitted by users. It is not copied from BLS, Eurostat, ILOSTAT, OECD, the World Bank, or another third-party salary database. Actual compensation can vary by experience, employer, location, contract type, benefits, equity, and negotiation. Salary and financial calculations are informational only and do not constitute financial, legal, or tax advice. Read the full methodology →
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