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Application Scientist H-1B roles in CA, FY2016

Exact-title LCA role declarations for Application Scientist in CA during FY2016. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 4 returned rows using keyset pagination.

Summary

This view lists 4 H-1B LCA role records.

Offered wages among the returned rows range from $63,024 to $0.

Employers in the returned rows include Park Systems, Inc., N/A DBA, Picarro, Inc., BGI AMERICAS CORPORATION.

LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.

RoleEmployerSOCStatus / visaDecisionWorksiteOffered wagePrevailing wageSource
APPLICATION SCIENTIST
I-200-16169-234872
Park Systems, Inc.19-2032CERTIFIED / H-1B
FY2016
2016-06-23Santa Clara, CA, 95054$83,700 to $0
year
$70,325sr_dol_oflc_lca_2016_q2_row_588045
APPLICATION SCIENTIST
I-200-16070-068705
N/A DBA19-1029CERTIFIED / H-1B
FY2016
2016-03-18Santa Clara, CA, 95051$80,000 to $0
year
$65,998sr_dol_oflc_lca_2016_q2_row_576997
APPLICATION SCIENTIST
I-200-16061-377759
Picarro, Inc.19-2041CERTIFIED / H-1B
FY2016
2016-03-08Santa Clara, CA, 95054$90,000 to $0
year
$89,149sr_dol_oflc_lca_2016_q2_row_588317
APPLICATION SCIENTIST
I-200-16011-688550
BGI AMERICAS CORPORATION19-1013CERTIFIED / H-1B
FY2016
2016-01-15Fremont, CA, 94536$63,024 to $0
year
$63,024sr_dol_oflc_lca_2016_q2_row_570926
End of returned pageReset

Frequently asked questions

What are the offered H-1B wages for Application Scientist H-1B roles in CA, FY2016?
Offered wages among the returned Application Scientist H-1B roles in CA, FY2016 rows range from $63,024 to $0 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.
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Rendered from the bluedoor H-1B Jobs API. Reproduce it:

GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=application+scientist&title_match=exact&state=CA&fiscal_year=2016JSON