Data Scientist, DoD Cyber Risk — Lead & Build AI Insights

Booz Allen Hamilton; Alexandria (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton seeks a Mid Data Scientist to unlock insights from large IoT and unstructured data, addressing DoD challenges and leading analytics on critical national security projects. You will mentor analysts and shape data-rich solutions in a fast-moving environment.

You will draft Data Sharing Agreements, develop use cases, and build scalable ETL pipelines and ML models, working with clients in a secure SCIF setting.

Qualifications

• Experience with Python, PySpark, SQL or Databricks for data processing.
• Ability to deliver actionable insights and performance metrics.
• Experience building and maintaining automated ETL pipelines via APIs.
• Experience extracting information from unstructured sources into analysis-ready data.
• Experience mentoring junior analysts and communicating with executives.
• Must have TS/SCI clearance.
• Education history with HS diploma or GED plus 7+ years, or a Bachelor’s with 6+ years, or a Master’s with 5+ years.

Responsibilities

• Draft and manage documentation enabling future analytics (DSAs, letters, memorandums).
• Develop clear use cases reflecting client operational needs.
• Lead algorithm and system development in a high-performing team.
• Collaborate with clients to translate questions into data-driven solutions.

Skills

Python

PySpark

SQL

Databricks

Data engineering

Analytics

Mentoring

Communication

Self-starter

Leadership

Education

HS diploma or GED

Bachelor’s degree in a related field

Master’s degree in a related field

Tools

Advana

Qlik

Maven

Job description

Booz Allen Hamilton seeks a Mid Data Scientist to unlock insights from large IoT and unstructured data, addressing DoD challenges and leading analytics on critical national security projects. You will mentor analysts and shape data-rich solutions in a fast-moving environment.

You will draft Data Sharing Agreements, develop use cases, and build scalable ETL pipelines and ML models, working with clients in a secure SCIF setting.