Real prevailing wage data for Data Scientists on H-1B β by DOL level, metro area, and employer type.
H-1B employers must pay at least the prevailing wage for the SOC code and location. For Data Scientists (SOC 15-2051), the Department of Labor sets four wage levels based on experience and responsibility. Your wage level affects both the legality of the petition and your H-1B lottery selection odds under the wage-based selection system.
Source: DOL Foreign Labor Certification Data Center. Wages shown are national averages; local wages vary significantly by metro area. Always verify current wages at flag.dol.gov before filing.
Prevailing wages differ substantially by geography. The LCA filed by your employer must use the prevailing wage for the specific metro area where you work β not national averages. Employers in high-cost metros must pay accordingly, which benefits H-1B workers in cities like San Francisco and New York.
The wage level assigned to your H-1B petition depends on four factors USCIS and DOL evaluate: education level, experience, complexity of duties, and supervisory responsibility. A data scientist performing entry-level tasks with a bachelor's degree starts at Level I. A senior professional with 8+ years of experience, advanced degree, and complex independent work reaches Level III or IV.
Employer size and type also influence practical salary. FAANG companies and large enterprises typically pay at Level III-IV regardless of years of experience. Consulting firms and staffing agencies more often file at Level I-II to minimize LCA wage obligations β but this reduces lottery selection odds under the wage-based system. When choosing between job offers, a higher-wage offer from a reputable direct employer is often more valuable than it first appears, both for lottery odds and long-term career trajectory.
Specialty certifications and advanced degrees shift wage expectations upward. A data scientist with a master's degree and relevant certifications can justify Level II wages even with limited US experience. This certification premium compounds over time β certified professionals are promoted faster, reach Level III sooner, and build the compensation history that supports EB-2 green card filings at higher priority wages.
Geographic arbitrage is real but risky on H-1B. Some workers attempt to negotiate high salaries in high-wage metros while working remotely from lower-cost areas. This is a serious H-1B violation β the LCA must reflect the actual work location, not a nominal office address. Employers who list San Francisco as the worksite while the employee works from Alabama are filing fraudulent LCAs. If remote work location differs from the LCA site, the employer must file a new LCA and potentially amend the H-1B petition.
Many H-1B workers under-negotiate salary out of fear that demanding higher pay might jeopardize sponsorship. This is a mistake β employers who are willing to sponsor H-1B are committed to the relationship, and salary negotiation is entirely normal. The prevailing wage is a floor, not a ceiling. Employers must pay at least the prevailing wage but have unlimited ability to pay above it.
Use market data aggressively in negotiations. Levels.fyi, Glassdoor, LinkedIn Salary, and the DOL's own wage database (flag.dol.gov) give you leverage. Come to the negotiation knowing the Level II, III, and IV prevailing wages for your occupation and location. If an employer offers Level I wages for a role that clearly requires Level II experience, you have a documented basis for negotiation β and the employer's LCA should reflect the actual skill requirements anyway.
Total compensation matters, not just base salary. RSUs, bonuses, 401(k) matching, health insurance quality, remote work flexibility, and professional development budgets are all negotiable. An offer with $20K lower base salary but $40K in annual RSU vesting, excellent insurance, and $5K professional development budget may be materially better than a higher nominal base. Model total compensation, not just the line item on the offer letter.
One H-1B-specific negotiation lever: ask who pays premium processing and legal fees. A responsible employer should pay all mandatory H-1B filing fees and offer premium processing. If an employer wants you to pay any filing fees, that's a negotiation point β and also a legal violation for the mandatory fees. An employer who offers to pay premium processing is signaling a commitment to getting you started quickly, which has real value.
Since USCIS implemented the wage-based H-1B selection system in 2023, salary directly affects lottery selection probability. Registrations filed at higher OES wage levels receive selection priority. In a year with 470,000+ registrations for 85,000 slots, every percentage point improvement in selection odds matters. Accepting a Level III offer versus Level I can materially change your lottery success probability in moderate-volume years.
For green card PERM purposes, salary level also matters. The PERM job description and prevailing wage determination define the minimum wage the employer must pay after the green card is approved. If you've been earning Level III wages during your H-1B period, the PERM job description should reflect Level III requirements β creating a consistent record that strengthens the PERM application. Salary downgrade patterns between H-1B and PERM job descriptions attract DOL audit scrutiny.
EB-2 versus EB-3 green card category decisions are partly salary-driven. EB-2 requires an advanced degree or exceptional ability and targets higher-skill, higher-wage positions. EB-3 applies to bachelor's degree professionals. For data scientists with master's degrees earning Level II+ wages, EB-2 is typically the right category. EB-2 has better priority dates for most countries (though Indian EB-2 and EB-3 are now both severely backlogged). Consult an immigration attorney about category selection when initiating PERM.
The EB-2 NIW (National Interest Waiver) path is independent of employer salary determinations but benefits from a strong compensation history. Researchers, engineers, and professionals who self-petition for NIW can include their salary history as evidence of national recognition and the value placed on their expertise. A data scientist earning consistently in the 75th+ percentile of their occupation has concrete evidence of exceptional performance β leverage that in your NIW petition narrative.
Browse Data Scientist positions at companies actively sponsoring H-1B workers with competitive wages β filtered by salary level and location.
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