Salary Range
Low
$120,000
Midpoint
$147,500
High
$175,000
At the midpoint, that is about $71/hour or $12,292/month before taxes.
How we estimate these ranges
These are directional 2026 planning ranges for data scientist roles, benchmarked from the role dataset behind Neat Stack's resume library and cross-checked against public job-posting and compensation data. They are not a guarantee of any single offer. Real pay moves with location, company stage, equity and bonus, and the exact scope of the role.
If you need H1B or OPT sponsorship, cross-check these numbers against certified H1B prevailing wages from official U.S. Department of Labor filings, which show the legal minimum employers attest to pay by role and wage level.
Key Skills
The most in-demand skills for data scientist roles, based on current job postings.
Certifications That Boost Salary
These certifications are commonly associated with higher compensation for data scientist roles.
What Usually Drives Pay Higher
Scope of ownership
Data Scientist roles usually pay more when the position owns larger systems, higher-stakes deliverables, or direct business outcomes instead of task-level execution.
Depth in the core stack
Teams hiring for data scientist roles often pay a premium for candidates with proven depth in Python, SQL, Scikit-learn, especially when that experience is tied to measurable results.
Seniority and operating range
The current range on this page maps to mid-senior level hiring. Candidates who can mentor others, make tradeoffs, or work cross-functionally usually land at the top end faster.
Recognized credentials
In this path, certifications like Google Professional Data Engineer can strengthen credibility when two candidates have similar experience, especially in regulated or highly specialized hiring environments.
Career Progression in Data & Analytics
Related roles in data & analytics sorted by salary. Explore each to compare compensation and skills.
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Data Architect
Decision Scientist
Data Product Manager
Big Data Engineer
Data Engineer
Analytics Engineer
Business Intelligence Developer
Data Modeler
Tableau Developer
Power BI Developer
Database Developer
ETL Developer
Statistician
Data Visualization Specialist
Business Intelligence Analyst
Data Governance Analyst
Data Quality Analyst
Data Privacy Analyst
Data Analyst
Actuarial Analyst
Market Research Analyst
GIS Analyst
Research Analyst
Build Your Data Scientist Resume
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See Data Scientist Resume Example
View a complete data scientist resume with professional summary, experience bullets, skills, and certifications.
Data Scientist Interview Questions
Practice the behavioral, technical, and situational questions hiring managers actually ask for data scientist roles.
Explore the Career Path
See how data scientist roles typically start, which skills matter first, and what the next steps usually look like.
H1B Salary Data
See certified H1B prevailing wages for data scientist and thousands of roles, by company and wage level, from official U.S. DOL filings.
Check Your ATS Score
Paste your resume and a data scientist job description to see if it passes ATS filters. Free, instant, no login.
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Frequently Asked Questions
What is a realistic salary range for a Data Scientist?
A realistic 2026 range for data scientist roles is $120,000 to $175,000, with a midpoint around $147,500. Actual offers depend on seniority, location, and how directly your background matches the job's core requirements.
How much does a data scientist make per hour?
At the midpoint of $147,500 per year, a data scientist earns about $71 per hour, based on a standard 2,080-hour work year. Contract and part-time rates are usually quoted hourly and often run higher to offset the lack of benefits.
How much does a data scientist make per month?
A $147,500 annual midpoint works out to roughly $12,292 per month before taxes. Take-home pay is lower once federal and state taxes, insurance, and retirement contributions come out.
What tends to push data scientist salaries higher?
Data Scientist candidates usually move toward the top of the range when they can show strong results with Python, SQL, Scikit-learn, TensorFlow/PyTorch, ownership of higher-impact work, and evidence that they can operate at mid-senior level scope or above.
Do certifications matter for data scientist pay?
They can. Certifications such as Google Professional Data Engineer, IBM Data Science Professional Certificate are not a substitute for experience, but they can improve trust and help justify stronger compensation when the role values formal standards or specialized knowledge.
How should I use this salary guide in a job search?
Use the range here to benchmark the roles you target, then compare the posting's required skills, scope, and certifications against your own background. If your resume does not clearly show those signals, fix that before negotiating compensation.