Description

You will develop machine learning, data mining, and graph-based algorithms to analyze complex datasets and support mission automation.

This role is on-site.

Responsibilities

• Develop and train machine learning systems based on statistical analysis.
• Build models or design experiments to simulate data when training sets are unavailable.
• Identify appropriate algorithms and tune parameters to optimize performance.
• Evaluate analytics using standard metrics including cross-validation, ROC curves, and confusion matrices.
• Partner with software engineers and cloud developers to implement prototype algorithms into production frameworks.

Required Skills

• Programming experience with R, Python, SAS, or MATLAB.
• Experience developing feature vectors for machine learning algorithms.
• Ability to generate reports and visualizations that provide data-driven insights.
• Proven track record of translating manual data analysis into automated analytics.
• Active TS/SCI security clearance with Full Scope Polygraph.
• Bachelor’s degree in a quantitative discipline (statistics, mathematics, operations research, engineering, or computer science) with 7+ years of experience, a Master’s with 5+ years, or a PhD with 2+ years.

Key Skills

Education

Any Graduate