Junior Defense Data Scientist - ML/AI & Data Pipelines

NU USA Northeastern University; Boston (MA); On-site; USD 76,000 - 108,000; Full time

Benefits offered by this job

Retirement plan

Tuition waiver

Job summary

Northeastern University’s Defense Industrial Base Institute is hiring a Jr. Data Scientist to advance ML/AI frameworks and build data pipelines for federal projects.

You will work with a multidisciplinary team across academia, industry, and government, contributing to datasets and analytical products to inform leadership and sponsors. The role emphasizes data engineering, model development, and translating complex findings for decision-makers while collaborating with data researchers, engineers,

Qualifications

• Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or closely related field.
• 2–4 years of professional experience in software engineering, data science, or applied R&D with exposure to ML/AI system development.

Responsibilities

• Scale Navigator methodology for defense contracts, including development, prototype modeling, and experimentation.
• Test and validate ML/AI tools; suggest tools to enhance efficiency and human support.
• Provide SME guidance across applications and respond to sponsor inquiries; assist with scoping budgets.
• Assist leadership on systems build-out for internal operations and special projects.

Skills

Python

R

ML/AI workflows

C++/Java basics

Data visualization

ETL processes

Git

Communication

Education

Master’s degree or PhD preferred

Tools

Tableau

Power BI

Plotly

matplotlib

Job description

Northeastern University’s Defense Industrial Base Institute is hiring a Jr. Data Scientist to advance ML/AI frameworks and build data pipelines for federal projects.

You will work with a multidisciplinary team across academia, industry, and government, contributing to datasets and analytical products to inform leadership and sponsors. The role emphasizes data engineering, model development, and translating complex findings for decision-makers while collaborating with data researchers, engineers,