AI / ML Senior Data Scientist

Peraton; Fort Meade (MD); On-site; USD 130,000 - 180,000; Full time

Job summary

Peraton seeks an AI/ML Senior Data Scientist to support Department of War Cyber Defense Command (DCDC) with defensive cyberspace operations and AI support. Location: Fort Meade, MD.

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. Primary Responsibilities include: Develop and validate predictive and prescriptive analytic models; apply

Qualifications

• Advanced proficiency in Python, R, SQL.
• Experience with machine learning model development and deployment; ML, algorithm analysis, data clustering.
• Strong statistical analysis and hypothesis testing skills.
• Experience with data visualization and reporting.
• Requires strong technical and computational skills - engineering, physics, mathematics, with the ability to code, design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques and HPC environments.
• U.S Citizenship required
• DoD TS Clearance with ability to obtain/maintain SCI

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 LSI, entity identification and tagging, CEP, and the application of analysis algorithms on distributed, clustered, and cloud-based HPC infrastructures.

Skills

Python

R

SQL

Machine learning

Statistics

Data visualization

Data clustering

Hypothesis testing

High-performance computing

Education

Bachelor's degree

Master's degree

PhD

Associates degree

High School diploma

Tools

AWS

Azure

Distributed computing

High-performance computing

Job description

Required Qualifications:

• 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

Preferred Qualifications:

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

Peraton seeks an AI / ML Senior Data Scientist to support Department of War Cyber Defense Command (DCDC) with defensive cyberspace operations and AI support. Location: Fort Meade, MD. 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.

Primary Responsibilities include:

• 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.