AI / ML Senior Data Scientist

Peraton•Fort Meade, MD

1d•$176,000 - $282,000•Onsite

About The Position

Peraton seeks an AI / ML Senior Data Scientist to support Department of War Cyber Defense Command (DCDC) with defensive cyberspace operations and AI support. In this role, you will perform advanced statistical analysis, develop machine learning (ML) models, and conduct operational research to support cyber defense decision-making and threat characterization. You will analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.

Requirements

Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. Will consider Associates degree and 14 years of experience or HS and 16 years of experience.
Advanced proficiency in Python, R, SQL
Experience with machine learning model development and deployment; experience with machine learning, algorithm analysis, and data clustering.
Strong statistical analysis and hypothesis testing skills
Experience with data visualization and reporting
Requires strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments
U.S Citizenship required
DoD TS Clearance with ability to obtain/maintain SCI

Nice To Haves

AWS/Azure certifications
Master's degree in Data Science, Statistics, Mathematics, or related field
Knowledge of cyber defense operations
DoD TS SCI Clearance

Responsibilities

Develop and validate predictive and prescriptive analytic models
Apply statistical and ML techniques for anomaly detection and event correlation
Conduct quantitative and qualitative analyses to identify operational trends
Collaborate with mission partners to translate requirements into analytic solutions
Document analytic workflows and methodologies for knowledge transfer
Mentor junior data scientists and provide technical guidance
Analyze unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.