Senior Data Scientist — Secure Government Analytics & ML

Socket.dev; Tampa (FL); On-site; USD 135,000 - 225,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan with company-m​

PTO

Job summary

Morgan 6 seeks a Senior Data Scientist to support an advanced counterintelligence analytics program for the FAA. The role develops, validates, deploys, and sustains ML and network-analytics for supply-chain risk, behavioral anomaly detection, and cyber alert triage in a secure Government environment.

Start around October 15, 2026, contingent on contract award. This hands-on position requires moving from prototype analytics to scalable, explainable solutions with cross-team collaboration.

Qualifications

• Minimum 5 years of professional experience in data science, ML, or analytics.
• Bachelor's degree as stated.
• Ability to obtain and maintain Government security access.

Responsibilities

• Design, build, tune, validate, and harden ML and analytics models.
• Develop graph-based analytics for supplier and supply-chain relationships.
• Perform entity resolution across multi-source datasets.
• Develop and maintain data-processing pipelines.
• Build behavioral anomaly detection models.
• Develop scalable analytics for large datasets.
• Document model assumptions and configurations.

Skills

Python

Data Science

Machine Learning

Big Data

Anomaly Detection

Statistical Analysis

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or related field

Tools

Docker

SBOMs

Job description

Morgan 6 seeks a Senior Data Scientist to support an advanced counterintelligence analytics program for the FAA. The role develops, validates, deploys, and sustains ML and network-analytics for supply-chain risk, behavioral anomaly detection, and cyber alert triage in a secure Government environment.

Start around October 15, 2026, contingent on contract award. This hands-on position requires moving from prototype analytics to scalable, explainable solutions with cross-team collaboration.