U.S. Immigration Data

Priority dates, work visas, and labor market data

Data Scientist (NLP (Natural Language Processing) Focus)

H-1B & Green Card Salary Data and Market Analysis

Only 1 filing match this exact title. For the full picture, see the broader Data Scientist profile (5,569 filings).
View Data Scientist →

1

Total Filings

All time (charts below use selected years)

$102,005

Median Salary

Across filings in selected period

1

Top Employers

Hiring This Role
Salary Distribution (All Employers + Top Employer Overlays)
10th Percentile

$102,005

25th Percentile

$102,005

Median (50th)

$102,005

75th Percentile

$102,005

90th Percentile

$102,005

See all H-1B/PERM filings for this role →

Chart data not available

Top Employers Hiring Data Scientist (NLP (Natural Language Processing) Focus)
Employer Filings Median Salary Salary Range Approval Rate
FLX AI, Inc. 1 $102,005 $102,005 - $102,005 100.0%
Geographic Distribution
Based on 1 filings in selected period (charts use selected years, not all-time total)
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Median Salary by State
Based on selected period (same 1 filings as above)
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Top Metro Areas
City State Filings Median Salary
Rochester NY 1 $102,005
Related Roles & Career Progression

These roles are variations of Data Scientist (NLP (Natural Language Processing) Focus) with different seniority levels.

Role Experience Level Filings Avg Salary
Data Scientist (NLP (Natural Language Processing) Focus) Unspecified 1 $102,005
Year-over-Year Statistics
Fiscal Year Filings Median Salary Approval Rate
2023 1 $102,005 100.0%
Company Comparison - Data Scientist (NLP (Natural Language Processing) Focus)

Compare how top companies pay for this role.

Company Filings Median Salary Approval Rate
FLX AI, Inc. 1 $102,005 100.0%
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Data Source: U.S. Department of Labor (DOL) H-1B and green card (PERM) disclosure data. Data shown for fiscal years 2021 to present. Last updated: February 7, 2026

Note on Salary Data: For data quality, we exclude salaries below $30,000 (likely data entry errors) and above $1,000,000 (lacking automated validation for ultra-high compensation packages). This may affect statistics for some executive and specialized positions.