Hybrid Data Scientist & Data Engineer — National Security

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

Job summary

MITRE seeks a hybrid Data Scientist/Data Engineer to design data systems, apply advanced analytics and AI across mission problems, and deploy scalable solutions. You will work across data modeling, processing, and deployment while collaborating with teams on secure, impactful projects.

The role requires hands-on ML, NLP, anomaly detection, and data governance knowledge, with on-site presence three days per week and a TS clearance eligibility path.

Qualifications

• Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field; 5 years of relevant experience.
• Hands-on proficiency with advanced Data Science techniques including ML, anomaly detection, and large datasets.
• Proficiency in Python and SQL; capable of software engineering best practices.

Responsibilities

• Prototype and evaluate DS/DE/AI approaches to feasibility and project needs.
• Lead simple projects or support tasks on complex projects.
• Communicate results clearly to technical and non-technical audiences.

Skills

Python

SQL

Machine Learning

Data Engineering

Big Data

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in CS/Math/Data Science (preferred)

PhD in CS/Math/Data Science (preferred)

Tools

Spark

Hadoop

Airflow

Job description

MITRE seeks a hybrid Data Scientist/Data Engineer to design data systems, apply advanced analytics and AI across mission problems, and deploy scalable solutions. You will work across data modeling, processing, and deployment while collaborating with teams on secure, impactful projects.

The role requires hands-on ML, NLP, anomaly detection, and data governance knowledge, with on-site presence three days per week and a TS clearance eligibility path.