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HomeCompaniesCareers Fti Net Icims ComSenior Data Scientist

Senior Data Scientist

Careers Fti Net Icims Com · Norfolk, VA, US · Hybrid · Active · iCIMS

Job facts

FieldValue
CompanyCareers Fti Net Icims Com
TitleSenior Data Scientist
Normalized title-
Department / teamAnalyst
LocationNorfolk, VA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2024-06-18 / 2026-06-10
Changed / last seen2026-06-18 / 2026-06-18

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PageWhat it containsOpen
Company jobsActive postings from Careers Fti Net Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Norfolk.Open
Department jobsActive postings in Analyst.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Fti Net Icims Com
Source65462ee8-e9bb-4590-9aab-b55448b5a8ae
ATS provideriCIMS

Description

Overview FTI is hiring a Data Scientist to support the Naval Safety Command in Norfolk, VA. As a member of the data science team, you will be working in a hybrid work environment to support the development, testing, and deployment of a series of advanced predictive analytics models using big data sets that will help diagnose and predict precursors to Naval mishaps and safety hazards. In this role, you will collaborate within a diverse program team comprised of FTI team members as well as Active-Duty Military and Government civilian employees. This position is on-site at the Naval Safety Command Center in Norfolk, VA. The candidate may also have space in the FTI Chesapeake office. Responsibilities Support in the development of a portfolio of predictive risk models to estimate mishap risk for individual Navy communities. Leverage these models to identify areas of operational optimization and monitoring to reduce the risk of mishaps. Work in a collaborative environment to provide training to qualified Government personnel in the building, maintaining, and refining the portfolio of predictive analytics models. Assist with the collection and organization of multiple data types, including but not limited to manning, maintenance, readiness, operational tempo, command climate, and incident reports. Apply data science and inductive reasoning approaches to analyze this data and to find patterns to safety mishaps to allow senior leadership to implement risk mitigation measures. Participate in technical interchange meetings, analytical update meetings, program management reviews, and other meetings as required. Education/Qualifications Must have an active U.S. Department of Defense Secret Clearance. 6+ years of data science experience with a Bachelor’s Degree in Business Analytics, Mathematics, Computer Science, or related field. 4+ years of coding experience in Python, R, or a similar language. Excellent verbal and written communication skills.

Full job record

Job ID13743dc99173aec9a0345a0ab348823185e62dcd
Org IDbbfaa754-9b53-4616-974d-f762b0addfa5
Source ID65462ee8-e9bb-4590-9aab-b55448b5a8ae
Board ID65462ee8-e9bb-4590-9aab-b55448b5a8ae
Providericims
Provider Job Key7030
TitleSenior Data Scientist
Normalized Title
Statusactive
Activeyes
Location TextNorfolk, VA, US
DepartmentAnalyst
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionVA
CityNorfolk
Salary RawOverview FTI is hiring a Data Scientist to support the Naval Safety Command in Norfolk, VA. As a member of the data science team, you will be working in a hybrid work environment to support the development, testing, and deployment of a series of advanced predictive analytics models using big data sets that will help diagnose and predict precursors to Naval mishaps and safety hazards. In this role, you will collaborate within a diverse program team comprised of FTI team members as well as Active-Duty Military and Government civilian employees. This position is on-site at the Naval Safety Command Center in Norfolk, VA. The candidate may also have space in the FTI Chesapeake office. Responsibilities Support in the development of a portfolio of predictive risk models to estimate mishap risk for individual Navy communities. Leverage these models to identify areas of operational optimization and monitoring to reduce the risk of mishaps. Work in a collaborative environment to provide training to qualified Government personnel in the building, maintaining, and refining the portfolio of predictive analytics models. Assist with the collection and organization of multiple data types, including but not limited to manning, maintenance, readiness, operational tempo, command climate, and incident reports. Apply data science and inductive reasoning approaches to analyze this data and to find patterns to safety mishaps to allow senior leadership to implement risk mitigation measures. Participate in technical interchange meetings, analytical update meetings, program management reviews, and other meetings as required. Education/Qualifications Must have an active U.S. Department of Defense Secret Clearance. 6+ years of data science experience with a Bachelor’s Degree in Business Analytics, Mathematics, Computer Science, or related field. 4+ years of coding experience in Python, R, or a similar language. Excellent verbal and written communication skills.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://careers-ftidefense.icims.com/jobs/7030/senior-data-scientist/job
Apply URLhttps://careers-ftidefense.icims.com/jobs/7030/senior-data-scientist/job
First Seen At2026-06-10 08:23:19Z
Last Seen At2026-06-18 08:26:20Z
Last Checked At2026-06-18 08:26:20Z
Last Changed At2026-06-18 08:26:20Z
Inactive At
Source Posted At2024-06-18 08:26:20Z
Source Updated At2026-06-09 18:47:35Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-fti-net.icims.com/date=2026-06-18/2026-06-18T08-26-19-393Z-39ca59f1178ef87cf401e295078f8bf09137761b883ca3ab254e412cf975b8b5.json
Event Fields
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Parsed Structured
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Extensions
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