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.