Data Scientist (FBI Support) at Praescient Analytics
Huntsville, Alabama, USA -
Full Time


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Law Enforcement, Statistics, Analytical Techniques, Relational Databases, Presentation Skills, Operational Intelligence, Anomaly Detection, Information Assurance, Intelligence, Data Science, Variance Analysis, Platforms, Technical Requirements, Computer Science

Industry

Information Technology/IT

Description

Praescient Analytics is seeking a highly analytical and mission-aligned Data Scientist to support an FBI contract in Huntsville, AL. This position directly contributes to advanced criminal investigations and intelligence operations by unlocking insight from large and complex datasets.
The selected candidate will rely on data fusion, enrichment, and visualization to investigate encrypted communications, darknet marketplaces, and other high-risk digital threats.
All work will be performed onsite in Huntsville, AL and requires an active TS/SCI level clearance minimum.

TECHNICAL REQUIREMENTS:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. The major must align with data science principles and be appropriate for the role.
  • Minimum of 3 years of experience in applied data science, ideally in federal, law enforcement, or intelligence environments.
  • Strong proficiency in:
  • Scripting languages (e.g., Python, R)
  • Data visualization tools and platforms
  • Relational and non-relational databases

PREFERRED QUALIFICATIONS:

  • Deep understanding of analytical techniques relevant to intelligence and investigative domains.
  • Experience with information assurance, anomaly detection, and statistical variance analysis.
  • Strong presentation skills; capable of translating technical insight into operational intelligence.
  • Familiarity with federal or law enforcement datasets, workflows, or investigative processes.
Responsibilities
  • Perform data wrangling, normalization, and transformation on investigative datasets.
  • Create statistical models and dynamic visualizations that reveal patterns, anomalies, and leads.
  • Enable investigators and analysts by converting raw data into actionable formats.
  • Recommend and implement data architectures, storage frameworks, and retrieval pipelines.
  • Collaborate with technical and investigative stakeholders to define analytical requirements.
  • Document and present data methodologies, findings, and tools to technical and non-technical audiences.
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