Data Scientist Security Clearance

Position: Data Scientist with Security Clearance
Job Description Summary
The Data Scientist will be responsible for managing, understanding and analyzing in-house and customer data – including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities. This individual will work closely with the TRSS Analysts to drive, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.

Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements and contributing to Statements of Work (SOWs) for new sales or POCs and executing design post sale while getting deeply involved into the delivery of the proposed solutions. The role will interface with the customer and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities.

The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.
Justification
Justification
Two backfill positions and new contracts.
Hiring Requirements
Job Details
Job Profile
Job Profile
104828 - Data Scientist TR5
Job Families for Job Profiles
Job Families for Job Profiles
Technical Career Path
Worker Sub-Type
Worker Sub-Type
Regular
Worker Type
Worker Type
Employee
Time Type
Time Type
Full time
Compensation Grade
Compensation Grade
TR5
Remote Type
Remote Type
On-Site
Primary Location
Primary Location
USA-McLean-1410 Spring Hill Rd Suite 125
Primary Job Posting Location
Primary Job Posting Location
USA-McLean-1410 Spring Hill Rd Suite 125
Additional Locations
Additional Locations
(empty)
Additional Job Posting Locations
Additional Job Posting Locations
(empty)
Scheduled Weekly Hours
Scheduled Weekly Hours
40
Work Shift
Work Shift
(empty)
Recruiting Start Date
Recruiting Start Date
07/18/2025
Target Hire Date
Target Hire Date
09/22/2025
Target End Date
Target End Date
(empty)
Additional Information
Union Membership from Job Profile
Union Membership from Job Profile
(empty)
Allowed Unions from Job Profile
Allowed Unions from Job Profile
(empty)
Collective Agreement Details
Collective Agreement
Collective Agreement
(empty)

Job Description

Job Description

About the role:

The Data Scientist will be responsible for managing, understanding and analyzing in-house and customer data – including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities. This individual will work closely with the TRSS Analysts to drive, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.

Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements and contributing to Statements of Work (SOWs) for new sales or POCs and executing design post sale while getting deeply involved into the delivery of the proposed solutions. The role will interface with the customer and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities.

The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.

Job Description Define, manipulate, aggregate and use both structured and unstructured “big data” in order to support
descriptive and predictive analytics across the businesses. Collaborate with scientists, product groups and content groups to perform “big data” aggregations, symbology mapping, and manipulations of important data-sets
Perform statistical (and machine learned) analyses on data to serve business purposes
Narrate stories…