Assessments Data Scientist

SMX•Aiea, HI

1d•Onsite

About The Position

The Assessments Data Scientist supports SOCPAC SOJ54 initiatives by developing and implementing AI/ML-enabled capabilities to enhance operational planning and decision-making. This role focuses on transforming operational requirements into data-driven solutions through advanced analytics, machine learning models, and data visualization tools. The position operates within a fast-paced, cross-functional environment, integrating technical expertise with mission-focused problem solving to support Department of Defense priorities. Secret Clearance required, must be able to obtain TS/SCI. This position requires a current DoD Secret clearance with ability to obtain TS/SCI which requires US citizenship for work on DoD contracts. This position is working onsite in Aiea, Hawaii.

Requirements

Hands-on experience with development and implementation of machine learning (ML) models.
Basic proficiency in mathematics and statistics.
Experience with general-purpose programming languages (e.g., Python, C++).
Skilled in data manipulation, processing, and analysis.
Familiarity with building secure software using modern security principles.
Strong collaboration and interpersonal communication skills.
Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics).
Minimum of 5 years of hands-on experience in big data analysis and data-driven solution development.
Must possess an active DoD Top Secret clearance with SCI eligibility (U.S. citizenship required).

Nice To Haves

SOF experience
Joint experience
SOCPAC/INDOPACOM experience

Responsibilities

Develop, design, and document technical data solutions that translate operational requirements into data-driven capabilities.
Build, train, and implement machine learning and predictive models to support operational planning and analysis.
Formulate and execute end-to-end data modeling processes, including data collection, preprocessing, analysis, and delivery of analytical outputs.
Structure and preprocess datasets to extract actionable insights and prepare data for modeling and visualization.
Develop analytical dashboards and visualization tools to support decision-making and communicate findings effectively.
Collaborate with cross-functional stakeholders, including planners, operators, and technical teams, to refine requirements and deliver solutions.