Data Scientist

General information

Requisition # R63616 Locations USA-Remote Work Posting Date 11/10/2025 Security Clearance Required None Remote Type Onsite Time Type Full time

Description & Requirements

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH!

MANTECH seeks a motivated, career- and customer-oriented Data Scientist. This remote (US-based) position, with up to 10% travel.

The Data Scientist will have AI/ML Developer skills to support mission-driven innovation in partnership with our Intelligent Engineering (IntelligEng) Practice. You will help develop advanced, secure, and scalable technology solutions to protect critical infrastructure and support national security missions.

IntelligEng enables government organizations through continuous innovation by delivering cutting-edge systems engineering, computational modeling, platform engineering, and rapid prototyping. Our solutions intersect applied AI, digital systems, software, and cloud-native environments to build resilient and mission-effective systems. If you thrive on solving real-world challenges in a collaborative, forward-thinking setting, this role offers the opportunity to directly influence government agency success.

Responsibilities include, but are not limited to:

• Application Module Design & Delivery: Design, build, and deliver several core application modules for data intelligence systems.

• Data Automation: Implement and automate Data Ingest & Extraction from structured and unstructured sources, and develop Smart Web Agents for scraping obsolescence notices from vendor/public sites.

• Intelligent Matching & Imaging: Develop the Intelligent Part Matcher to suggest component replacements and use Digital Imaging for visual recognition to fill data gaps.

• Risk Modeling & Prediction: Create the Risk Prediction Engine by applying modeling to identify components approaching end-of-life (EOL).

• Scheduled Assessment: Configure and deploy the Scheduled Assessment Module for automated reviews and reporting.

• AI/System Development: Develop AI-powered applications that aggregate data, automate analysis, and deliver actionable insights, including building chatbots, APIs, and ingestion systems.

• Lifecycle Collaboration: Collaborate closely with data scientists, product managers, and systems engineers while actively participating in code reviews, sprint planning, and the DevSecOps lifecycle.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a re