About this Assessments Data Scientist (Temporary) role at SMX
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 an active DoD Top Secret clearance with SCI eligibility which requires US citizenship for work on DoD contracts.
This position is working onsite in Aiea, Hawaii.
Essential Duties & 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.
Required Skills & Experience
- 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).
Desired Skills & Experience
- SOF experience
- Joint experience
- SOCPAC/INDOPACOM experience
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The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
