Hybrid Data Scientist & Engineer for National Security

Talentify; McLean (VA); On-site; USD 124,000 - 187,000; Full time

Job summary

MITRE is seeking a hybrid Data Scientist/Data Engineer to apply advanced analytics, ML, and AI across national security, healthcare, and transportation domains. The role combines data modeling, pipeline development, and experimentation with deployment and monitoring in production environments.

Requirements include a 5-year track record in data science and strong programming skills in Python and SQL, plus eligibility for a Top Secret clearance.

Qualifications

• Bachelor’s degree with 5 years of relevant experience.
• Hands-on proficiency with advanced Data Science techniques including ML, anomaly detection, and large datasets.
• Programming skills in Python, R, C/C++, Java, Scala, MATLAB, or similar.
• Must be eligible to obtain and maintain Top Secret clearance; U.S. citizenship required.
• Position requires minimum 3 days on-site per week.

Responsibilities

• Rapidly prototype and evaluate DS, DE, and AI/ML approaches to assess feasibility and project needs.
• Lead simple projects or contribute to complex projects; guide team members.
• Work independently with minimal instruction and direction.
• Identify and solve complex problems; share knowledge with others.
• Communicate complex results to technical and non-technical audiences.

Skills

Python

SQL

R

C/C++

Java

Scala

MATLAB

Machine Learning

Statistical Analysis

Data Visualization

Education

Bachelor’s degree in Computer Science/Applied Math/Statistics/Data Science or related

Master’s degree in Computer Science/Applied Math/Statistics/Data Science or related

PhD in Computer Science/Applied Math/Statistics/Data Science or related

Tools

Spark

Hadoop

Airflow

Dagster

NiFi

Docker

Kubernetes

Git

Job description

MITRE is seeking a hybrid Data Scientist/Data Engineer to apply advanced analytics, ML, and AI across national security, healthcare, and transportation domains. The role combines data modeling, pipeline development, and experimentation with deployment and monitoring in production environments.

Requirements include a 5-year track record in data science and strong programming skills in Python and SQL, plus eligibility for a Top Secret clearance.