Apptad

Data Scientist

Fort Worth, Tarrant County

Sponsorship not specifiedDetected 132 days ago

PythonMachine LearningData ScienceStatistics

Stay score

odds of building a lasting career here

47Sponsors, lottery-bound

Cap-exempt (no lottery)0

Sponsors this role80

Entry-level history0

PERM / green-card track0

Lottery odds (Level II)66

Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×

Level I$75,6911 entry

Level II$99,2992 entries

Level III$122,9073 entries

Level IV$146,5154 entries

Level III starts at $122,907 — $4,347 above the bottom of this range, and above its posted ceiling.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Dallas-Fort Worth-Arlington, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

27% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 6 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Cigna HealthCare · Bank of New York Mellon · Bayer Crop ScienceFiles as an H-1B dependent employer.

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 310 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

Master's/PhD degree with 3 years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.) Experience with Python programming language Practical experience with data extraction, cleaning, and analysis Depth of knowledge in statistical and machine learning techniques Preferred qualifications Education & Prior Job Experience 8 years of experience in a technical professional environment, in add…

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This listing is sourced directly from Apptad's careers page and normalized into a canonical job model.