Analytics & Data Science Lead

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

Responsibilities include but are not limited to:

• 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.

Minimum

Qualifications

• 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.

Preferred

Qualifications

• 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.

Clearance

Requirements

• Must hold a current/active Secret security clearance.

Physical

Requirements

• Must be able to remain in a stationary position 50%.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.