AI/ML Subject Matter Expert (SME) / Analytics Team Lead

Key Responsibilities

• Serve as the Analytics Team Lead and provide technical leadership for analytics, machine learning, and AI initiatives.
• Design, develop, train, test, and support custom machine learning and AI models, including supervised and unsupervised approaches.
• Apply natural language processing (NLP) techniques to analyze and derive insight from unstructured data.
• Use analytical and statistical programming languages such as Python, R, and SQL to perform data analysis, model development, and data manipulation.
• Manipulate, transform, and analyze large and complex structured and unstructured datasets to support analytic objectives.
• Develop data visualizations and analytical outputs that clearly communicate findings, trends, and recommendations to technical and non-technical stakeholders.
• Collaborate with developers, database teams, and other technical staff to integrate AI/ML capabilities into enterprise applications and data environments.
• Support data exploration, feature engineering, model evaluation, and performance improvement efforts.
• Recommend and apply best practices for analytics, AI/ML development, and data handling.
• Ensure analytic solutions are scalable, maintainable, and aligned with mission and enterprise needs.

Minimum Qualifications

• 5+ years of in-depth knowledge of at least one analytical or statistical language, such as Python, R, or SQL.
• At least 2 years of experience in custom machine learning and AI model training, including supervised and unsupervised learning, and Natural Language Processing (NLP) expertise focused on unstructured data.
• 3+ years of experience with SQL database development and coding.
• 2+ years of experience with data visualization tools.
• 2+ years of experience manipulating unstructured data.

Leadership Responsibilities

• Lead and mentor the analytic team in the development and delivery of AI/ML and advanced analytics solutions.
• Provide direction on model development, analytic methodologies, data usage, and technical best practices.
• Cookordinate analytic efforts with application, database, and infrastructure teams to support successful solution delivery.

Clearance Requirement

Active Secret clearance required.