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Data Scientist - AI/ML

Integral Federal

📍 Annapolis Junction, Maryland, US0💼 Contract🕐 5/12/2026
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Role overview

Integral Federal is hiring for the Data Scientist - AI/ML role in Annapolis Junction, Maryland, US. It is contract, Mid-level level, in the Government sector. It was posted 5/12/2026.

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Role
Data Scientist - AI/ML
Company
Integral Federal
Location
Annapolis Junction, Maryland, US
Work mode
On-site
Employment
Contract
Seniority
Mid-level
Sector
Government
Posted
5/12/2026

Description

Data Scientist Location: Annapolis Junction, MD (Hybrid) Clearance: Public Trust (Level 4; High-Risk) Integral Federal is looking to hire a Data Scientist to support the Transportation Security Administration (TSA) Performance Engineering Analytics (PEA) program. The PEA program will support TSA as it continues to look for ways to enhance its layered approach to security through new state-of-the-art technologies, expanded use of existing and proven technologies, improved passenger identification techniques, and other developments that will continue to strengthen anti-terrorism capabilities. Responsibilities • Provide senior-level subject matter expertise (SME) for the data sciences team, consisting of government personnel and contractor team • Make significant contributions and provide support to initiatives, workstreams, and collaboration in these areas: • Research, Exploration, and Innovation. Explore emerging data science methods and techniques. Leading and supporting proof-of-concept (POC) projects to evaluate and validate new approaches and capabilities. Uncover anomalies and trends • Predictive Analytics, Artificial Intelligence (AI), and Machine Learning (ML). Build predictive models and advance AI capabilities to enhance mission-critical decisions and improve system effectiveness • Model Development, Deployment, and Optimization. Develop and maintain models using AI/ML and statistical techniques. Deploy models into production environment(s) with continuous optimization through adaptive learning and model training • Natural Language Processing (NLP). Apply NLP techniques for domain-specific challenges, including global name matching and text analysis, to support real-time operations • Collaborate with analytics and engineering teams to translate insights into actionable outcomes and ensure seamless model integration • Collaborate with computational lingui

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