Data Scientist — AI & Defense Analytics (Onsite SCIF)

Agile Defense; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Agile Defense is looking for a Data Scientist / Engineer to support scalable AI-enabled data solutions. This role is critical for integrating advanced analytics within the Department of Defense's CDAO ADA IR program.

The ideal candidate will bring expertise in data pipelines and collaboration with diverse teams to provide actionable insights. Strong proficiency in Python and SQL, alongside a solid background in machine learning, are essential. The role requires onsite work in a SCIF.

Qualifications

• 4+ years of experience in applied data science, machine learning engineering, or data pipeline development.
• Strong statistical modeling and software engineering expertise.
• Experience with ML models from training to deployment.

Responsibilities

• Support the design, development, and operational deployment of scalable data solutions.
• Help shape and deploy data pipelines and machine learning services.
• Collaborate with product managers and developers to transform raw data into insights.

Skills

Applied data science experience

Machine learning engineering

Proficient in Python

Proficient in SQL

Experience with distributed data frameworks

Education

Bachelor's degree plus 3 years of specialized experience

Associate's degree plus 7 years of specialized experience

Major certification plus 7 years of specialized experience

11 years of recent specialized experience

Tools

Spark

Databricks

Python libraries (e.g., scikit-learn, TensorFlow)

Job description

Agile Defense is looking for a Data Scientist / Engineer to support scalable AI-enabled data solutions. This role is critical for integrating advanced analytics within the Department of Defense's CDAO ADA IR program.

The ideal candidate will bring expertise in data pipelines and collaboration with diverse teams to provide actionable insights. Strong proficiency in Python and SQL, alongside a solid background in machine learning, are essential. The role requires onsite work in a SCIF.