Data Scientist (ARTIFICIAL INTELLIGENCE/MACHINE LEARNING)
Summary
Evaluates AI/ML systems for the Defense Logistics Agency, applying data science to test deep-learning algorithms, ensure compliance with DoD and ethical frameworks, and integrate responsible AI practices throughout development.
See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Battle Creek, MI: $125,776- $163,514 Columbus, OH: $131,245- $170,624 Dayton, OH: $130,461 - $169,604 Fort Belvoir, VA: $143,913- $187,093 New Cumberland, PA: $143,913- $187,093 Ogden, UT: $125,776- $163,514 Philadelphia, PA: $138,595- $180,178 Richmond, VA: $131,385- $170,806
Serves as an Al (Artificial Intelligence) Testing and Evaluation Data Scientist providing subject matter Al expertise and execution to test and evaluate Al systems.
Provides professional and scientific expertise in the application of data science disciplines for complex studies in machine learning and deep learning algorithms, statistical analysis, visualizations, programing and computer science.
Provides expertise in evaluating and measuring data science and artificial intelligence systems in accordance with data science Lifecyle practices within DoD parameters.
Ensures Al systems are developed in accordance with applicable legal frameworks such as General Data Protection Regulation (GDPR) and National Institute of Standards and Technology (NIST).
Incorporates, Office of Management and Budget (0MB) test and evaluation requirements, DOD Al ethical principles into DLA Al test and evaluation framework to generate an RAI test strategy for modeling cases.
Utilizes expertise to coordinate the integration of the DLA Al testing and evaluation program during the product lifecycle from concept and design inception, as development proceeds, and integrated to ensure effective RAI implementation.