Junior Data Scientist - ML Analytics (Secret Cleared)

Socket.dev; Aiea (HI); On-site; USD 23,000 - 41,000; Full time

Job summary

SMX is seeking an Assessments Junior Data Scientist to support SOCPAC SOJ54 initiatives by developing and implementing AI/ML-enabled capabilities to enhance operational planning and decision-making. This position is onsite at Camp Smith, Hawaii.

The role requires DoD secret clearance eligibility, a quantitative degree, and hands-on ML, Python or C++ experience. You will build models, preprocess data, create dashboards, and collaborate with planners and technical teams to deliver data-driven

Qualifications

• Hands-on experience with development and deployment of ML models.
• Bachelor’s degree in statistics, CS, engineering, or mathematics.
• Active DoD Secret clearance with eligibility for Top Secret/SCI.

Responsibilities

• Develop, design, and document data solutions translating operational needs into data-driven capabilities.
• Build, train, and implement ML models to support planning and analysis.
• Execute end-to-end data modeling, including collection, preprocessing, and delivery of outputs.
• Structure datasets to extract insights and prepare data for modeling and visualization.
• Develop analytical dashboards and visualization tools to support decision-making.
• Collaborate with planners, operators, and technical teams to refine requirements.

Skills

Machine learning models

Python

C++

Data manipulation

Security principles

Communication

DoD Secret clearance

Education

Bachelor's degree in a quantitative field

Job description

SMX is seeking an Assessments Junior Data Scientist to support SOCPAC SOJ54 initiatives by developing and implementing AI/ML-enabled capabilities to enhance operational planning and decision-making. This position is onsite at Camp Smith, Hawaii.

The role requires DoD secret clearance eligibility, a quantitative degree, and hands-on ML, Python or C++ experience. You will build models, preprocess data, create dashboards, and collaborate with planners and technical teams to deliver data-driven