Home / Roles / Titles / Data Scientist / DC / FY2017
Data Scientist H-1B roles in DC, FY2017
Exact-title LCA role declarations for Data Scientist in DC during FY2017. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 3 returned rows using keyset pagination.
Summary
This view lists 3 H-1B LCA role records.
Offered wages among the returned rows range from $90,000 to $125,000.
Employers in the returned rows include d/b/a The Washington Post, IT WORKS INC., GREYLOCK MCKINNON ASSOCIATES.
LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
| Role | Employer | SOC | Status / visa | Decision | Worksite | Offered wage | Prevailing wage | Source |
|---|---|---|---|---|---|---|---|---|
| DATA SCIENTIST I-200-17072-174283 | d/b/a The Washington Post | 15-2041 | CERTIFIED / H-1B FY2017 | 2017-03-17 | Washington, DC, 20071 | $110,000 to $125,000 year | $72,925 | sr_dol_oflc_lca_2017_q2_row_299102 |
| DATA SCIENTIST I-200-16293-293034 | IT WORKS INC. | 15-2041 | CERTIFIED / H-1B FY2017 | 2016-10-31 | Washington, Dc, DC, 20017 | $90,000 to $0 year | $86,694 | sr_dol_oflc_lca_2017_q2_row_029373 |
| DATA SCIENTIST I-200-16295-781431 | GREYLOCK MCKINNON ASSOCIATES | 19-3011 | CERTIFIED / H-1B FY2017 | 2016-10-27 | Washington, DC, 20036 | $98,500 to $105,000 year | $98,218 | sr_dol_oflc_lca_2017_q2_row_027165 |
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Frequently asked questions
- What are the offered H-1B wages for Data Scientist H-1B roles in DC, FY2017?
- Offered wages among the returned Data Scientist H-1B roles in DC, FY2017 rows range from $90,000 to $125,000 in DOL LCA filings. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
Get this page with API
Rendered from the bluedoor H-1B Jobs API. Reproduce it:
GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=data+scientist&title_match=exact&state=DC&fiscal_year=2017JSON