Description

Build and deploy machine learning systems to support mission automation.

Responsibilities

  • Develop experiments to collect data or create models to simulate data when necessary.
  • Build feature vectors for machine learning algorithm inputs.
  • Select appropriate algorithms and tune input and model parameters for specific datasets.
  • Evaluate and validate analytics performance using cross-validation, ROC curves, and confusion matrices.
  • Partner with software engineers and cloud developers to move analytics into production and guide analytic development toward scalable solutions.

Required Skills

  • Programming experience with Python, R, SAS, or MATLAB.
  • Experience developing and training machine learning systems based on statistical analysis.
  • Proficiency in using standard metrics for model validation.
  • Ability to oversee individual analytic efforts and guide team development processes.
  • Bachelor's degree in statistics, mathematics, operations research, engineering, or computer science with 7+ years of experience.
  • Master's degree in a quantitative discipline with 5+ years of experience.
  • PhD in a quantitative discipline with 2+ years of experience.

Education

Bachelor’s or Master’s degree