Leidos' Defense & Intelligence Group is currently seeking expertise to transform and build an end-to-end national-level security environment using DevOps to integrate, develop, test, deploy, maintain, and operate, multiple systems on traditional and cloud platforms in Reston and Tysons, VA.
ROLES AND RESPONSIBILITIES:
This role uses Data Science and engineering techniques to satisfy customer requirements.
Evaluates and uses algorithms for Natural Language Process (NLP), Artificial Intelligence (AI), and Machine Learning (ML).
Uses large data sets to perform entity resolution and extraction for work products and creates models to test the effectiveness of different courses of action.
Collaborates across a team of Data Scientists, Data Administrators, and Data Engineers to produce work products.
Designs and develops methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including "big data" sources.
Develops and uses advanced software programs, algorithms, query techniques, models complex business problems, and automated processes to cleanse, integrate, and evaluate datasets.
Analyzes the requirements and evaluates technologies for data science capabilities including Natural Language
Processing, Machine Learning, predictive modeling, statistical analysis and hypothesis testing. Works with cross-discipline teams to ensure connectivity between various data sources and business problems.
Identifies meaningful insights and interprets and communicates findings and recommendations.
Develops algorithms and analytical techniques to improve business performance. Maintains awareness of emerging analytics and big-data technologies.
EDUCATION & EXPERIENCE: Requires BS degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience. May possess a Doctorate in technical domain.
Possesses and applies a comprehensive knowledge across key tasks and high impact assignments.
Experience planning and leading major technology assignments.
Experience evaluating performance results and recommending major changes affecting short-term project growth and success.
Experience as a technical expert across multiple project assignments.
Experience supervising others.etrics.