EB-1A for Data Scientists
Data science sits between engineering and research, so the strongest EB-1A records combine published methodology, production-scale model impact, and independent recognition. The trap is looking like an analyst who runs reports rather than a researcher who shapes the field.
Built for: Senior data scientists, analytics leads, and applied statisticians building models that drive product and business decisions.
Evidence matrix: your work mapped to USCIS criteria
Each row converts routine professional output into a packaged exhibit an adjudicator can score.
Daily work
Publishing novel methodology in journals, conferences, or arXiv
USCIS criterion
Authorship of scholarly articlesEvidence packaging
Publication list with venue selectivity, citation report, and a mapping of which papers you led versus co-authored.
Daily work
Building models that materially move revenue, cost, or user outcomes
USCIS criterion
Original contributions of major significanceEvidence packaging
Redacted impact memos showing lift metrics, adoption across product teams, and independent expert letters explaining the methodological advance.
Daily work
Serving as a reviewer for data-science journals or conference tracks
USCIS criterion
Judging the work of othersEvidence packaging
Reviewer invitations, completed reviews, and confirmation that reviewers are selected for demonstrated expertise.
Daily work
Leading the data-science function or a high-visibility modeling team
USCIS criterion
Critical role for distinguished organizationsEvidence packaging
Org chart, headcount and budget ownership, and evidence the organization has a distinguished reputation in its sector.
Daily work
Speaking at recognized analytics or ML conferences
USCIS criterion
Published material about you / scholarly articlesEvidence packaging
Talk recordings, conference programs with attendance data, and press or social coverage of the presentation.
Daily work
Compensation in the top decile for data scientists in your metro
USCIS criterion
High remunerationEvidence packaging
Total-comp statements benchmarked against BLS/OES 90th percentile wage data for data scientists in the same metro.
High remuneration benchmarks
Indicative BLS/OES-style 90th percentile total compensation for this occupation by metro. Your petition must compare your compensation against the correct occupation code and location.
$251,000
Bay Area — 90th percentile
$223,000
New York City — 90th percentile
$236,000
Seattle — 90th percentile
RFE mitigation for this profile
Where USCIS pushes back
Data scientists are frequently told their work is 'internal analytics' rather than a contribution to the field. USCIS will accept revenue impact as significance only if you prove the methodology traveled beyond your employer — open-source tools, conference presentations, external citations, or independent experts who adopted your approach. Avoid petitions that rest entirely on dashboards and A/B test lift inside one company.
Frequently asked questions
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