Data scientist
Models, datasets, and measurable ML impact as petition evidence.
Data scientists often explore O-1A, EB-2 NIW, UK Global Talent, or EU Blue Card when production ML systems, published methods, or field-facing datasets show sustained impact — not a job title alone.
Possible destinations
What can make your profile stand out
- Peer-reviewed methods, widely used open datasets, or production systems with independent press.
- Invited talks, Kaggle/competition leadership, or standards work — not only internal dashboards.
O-1A
Original ML methods with major significance
Novel models, benchmarks, or pipelines adopted beyond your employer can support O-1A original contributions.
Guide →EB-2-NIW
National-interest framing for data / AI work
Work that advances public-health analytics, critical infrastructure, or AI safety may support an NIW national-interest prong.
Guide →UK-GTV
Recognition beyond a single employer brand
Open datasets, conference talks, or peer citations that travel beyond one company can support UK Global Talent digital/tech endorsement narratives.
Guide →Route comparison
Ready to see what may fit?
Run the eligibility check with your goals pre-filled, or dig into the authoritative guide library.
Educational only — not legal advice, not a filing recommendation, and not an approval prediction.