Senior Applied AI Engineer – Data Science & Analytics

About the role

Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you will develop AI-enabled analytical tools that transform large and complex datasets into actionable mission insights.

Responsibilities

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices.
• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.

Requirements

• 12 years of experience with a Bachelor's degree in a technical discipline or 4 additional years without a degree.
• Experience developing production software using Python.
• Experience with data science, machine learning, or statistical analysis.
• Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar.
• Experience building AI or machine learning applications.
• Strong analytical and problem-solving skills.
• Experience working with SQL, Elasticsearch, or other large-scale data platforms.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience collaborating directly with customers to solve analytical problems.

Nice to Have

• Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG).
• Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.
• Experience with data visualization tools and dashboard development.
• Experience deploying machine learning models into production.

Location & Clearance

Columbia, MD. TS/SCI with Polygraph required.

Pay

$204,000 - $247,000