Home › Companies › Recruiting Ultipro Com Lan1008 022946cc 9e81 A206 Fc82 1c3698408754 › Research Engineer / Data Scientist
Research Engineer / Data Scientist
Recruiting Ultipro Com Lan1008 022946cc 9e81 A206 Fc82 1c3698408754 · Remote US, Anywhere, GA, United States · Remote · Active · UKG Pro Recruiting / Ultimate
Job facts
| Field | Value |
|---|---|
| Company | Recruiting Ultipro Com Lan1008 022946cc 9e81 A206 Fc82 1c3698408754 |
| Title | Research Engineer / Data Scientist |
| Normalized title | - |
| Department / team | Engineering |
| Location | Anywhere, GA, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | UKG Pro Recruiting / Ultimate |
| Posted / first seen | 2015-08-14 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Recruiting Ultipro Com Lan1008 022946cc 9e81 A206 Fc82 1c3698408754. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through UKG Pro Recruiting / Ultimate. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Anywhere. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Recruiting Ultipro Com Lan1008 022946cc 9e81 A206 Fc82 1c3698408754 |
| Source | cfe4d8f6-ab75-43ad-9d64-25c7fa343673 |
| ATS provider | UKG Pro Recruiting / Ultimate |
Description
Lancope’s Office of the CTO seeks an innovative Research Engineer / Data Scientist to develop new techniques in applying big data to network security. This is an exciting opportunity to join a growing team to invent and apply techniques in applied statistics, graph analysis, and machine learning toward telemetry analysis, data mining and threat detection.
Full job record
| Job ID | 5802af6933ad922e97190b83e39374d06aaec677 |
| Org ID | 99004574-ec87-41db-a306-6eb91563ddc9 |
| Source ID | cfe4d8f6-ab75-43ad-9d64-25c7fa343673 |
| Board ID | cfe4d8f6-ab75-43ad-9d64-25c7fa343673 |
| Provider | ukg |
| Provider Job Key | 4dabda2d-ddef-4dfd-89da-73d763097de6 |
| Title | Research Engineer / Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote US, Anywhere, GA, United States |
| Department | Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | GA |
| City | Anywhere |
| Salary Raw | Lancope’s Office of the CTO seeks an innovative Research Engineer / Data Scientist to develop new techniques in applying big data to network security. This is an exciting opportunity to join a growing team to invent and apply techniques in applied statistics, graph analysis, and machine learning toward telemetry analysis, data mining and threat detection. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://recruiting.ultipro.com/LAN1008/JobBoard/022946cc-9e81-a206-fc82-1c3698408754/OpportunityDetail?opportunityId=4dabda2d-ddef-4dfd-89da-73d763097de6 |
| Apply URL | https://recruiting.ultipro.com/LAN1008/JobBoard/022946cc-9e81-a206-fc82-1c3698408754/OpportunityDetail?opportunityId=4dabda2d-ddef-4dfd-89da-73d763097de6 |
| First Seen At | 2026-05-31 17:54:18Z |
| Last Seen At | 2026-06-06 10:15:41Z |
| Last Checked At | 2026-06-06 10:15:41Z |
| Last Changed At | 2026-05-31 17:54:18Z |
| Inactive At | — |
| Source Posted At | 2015-08-14 15:56:46Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ukg/board=recruiting.ultipro.com|lan1008|022946cc-9e81-a206-fc82-1c3698408754/date=2026-06-06/2026-06-06T10-15-40-336Z-cbd5c68b92b68ae89c115920d268b0dffbf5f0eee2d504b7ce6be3b03ec2838c.json |
Event Fields
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