Analytics & Data Science Lead

MANTECH • Doral, FL

6h • Onsite

About The Position

Shape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we’ve been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now—protect and innovate with MANTECH!

MANTECH seeks a motivated, career and customer-oriented Analytics & Data Science Lead to join our team in Doral, FL.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field with 7+ years of experience in advanced analytics or data science roles.
• OR a PhD and 3+ or more years of relevant experience
• OR a master’s degree and 5+ or more years of relevant experience
• OR an associate’s degree and 9+ or more years of relevant experience
• OR a high school diploma and 11+ or more years of relevant experience
• Demonstrated proficiency with standard data analysis tools, languages, and frameworks such as Python, R, and SQL.
• Experience creating, maintaining, and communicating complex technical documentation, analytical findings, and executive presentations to stakeholders.
• Must hold a current/active Secret security clearance.

Nice To Haves

• Master’s degree or Ph.D. in Data Science, Applied Mathematics, Statistics, or a quantitative discipline.
• Prior experience supporting U.S. Military Command operations or Department of Defense enterprise data environments.
• Hands-on knowledge of cloud-based data platforms (AWS, Azure, GCP) and containerization technologies.
• Experience with MLOps frameworks, DevSecOps pipelines, and deploying AI/ML models into production environments.

Responsibilities

• Leading the design, development, and deployment of advanced statistical models, machine learning algorithms, and data visualization tools to solve complex operational challenges.
• Overseeing data science projects across the entire life cycle, including requirement gathering, data extraction, feature engineering, model training, and performance monitoring.
• Collaborating with cross-functional technical teams, data engineers, and stakeholders to translate complex data insights into strategic, data-driven decisions.
• Establishing best practices for data governance, model validation, and reproducible analytic workflows across all data environments.
• Managing individual analytic tasks and mentoring team members to ensure technical delivery aligns with customer objectives.
• Recommending and implementing process improvements, automated pipelines, and emerging data science technologies to enhance operational efficiency.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior