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Decision Science Jobs in Hawaii (NOW HIRING)

SMX

Assessments Data Scientist

Aiea, HI

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 ...

Bluehawk, LLC

Data Scientist - Sr.

Pearl City, HI · On-site

$90 - $130/hr

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and ...

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and ...

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Decision Science information

See Hawaii salary details

$11.4K

$78.6K

$102.3K

How much do decision science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for decision science in Hawaii is $78,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $97,100.00 per year, depending on experience, location, and employer.

What is a decision science?

A Decision Science job involves using data, analytics, and mathematical models to guide business decisions. Professionals in this field apply statistical analysis, machine learning, and optimization techniques to solve complex problems. They work closely with stakeholders to translate data insights into strategic actions. Decision Science roles are common in industries like finance, healthcare, marketing, and technology. The goal is to enhance decision-making processes by leveraging data-driven approaches.

What kind of jobs use decision science?

Decision science is used in roles such as data analysts, data scientists, operations researchers, and business analysts, where analyzing data and modeling decision-making processes are essential. These jobs often require skills in statistics, data visualization, and tools like Python, R, or SQL to inform strategic choices across industries like finance, healthcare, marketing, and technology.

Is decision science a good career?

Decision science is a growing field that involves analyzing data to inform strategic choices, often requiring skills in statistics, data analysis, and programming. It offers opportunities in various industries such as finance, healthcare, and technology, with roles typically requiring a strong analytical background and proficiency in tools like Python or R. The career can be rewarding for those interested in data-driven decision making and problem-solving.

What are the key skills and qualifications needed to thrive in decision science?

To excel in Decision Science, you need a strong background in statistics, mathematics, data analysis, and business acumen, often supported by a degree in data science, economics, or a related field. Expertise with tools like Python, R, SQL, data visualization platforms, and familiarity with machine learning models or certifications is highly valuable. Strong problem-solving, critical thinking, and communication skills distinguish top performers in this role. Combining these abilities allows professionals to turn complex data into strategic insights that drive effective business decisions.

What does a decision science do?

In a Decision Science role, your day often involves analyzing large datasets, building predictive models, and interpreting results to help inform business strategies or solve operational problems. You may collaborate closely with cross-functional teams such as product, marketing, and engineering to translate insights into actionable recommendations. Other daily activities typically include exploratory data analysis, preparing reports or visualizations, and presenting findings to both technical and non-technical stakeholders. This role offers fast-paced, intellectually rewarding work with ample opportunity for professional growth in both technical and strategic career paths.

What are popular job titles related to Decision Science jobs in Hawaii?

For Decision Science jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Decision Science jobs in Hawaii look for?

The top searched job categories for Decision Science jobs in Hawaii are:

Decision Science jobs near you
Infographic showing various Decision Science job openings in Hawaii as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $78,570 per year, or $37.8 per hour.

Operations Research Systems Analyst (ORSA) - Mid with Security Clearance

Bluehawk, LLC

Honolulu, HI • On-site

$97K - $115K/yr

Other

Re-posted 3 days ago

Job description

Overview The Operations Research Systems Analyst (ORSA) applies advanced quantitative methods, mathematical modeling, and systems analysis to optimize complex intelligence and operational processes across the Joint Intelligence Operations Center (JIOC). This position supports data-driven decision-making by developing rigorous analytical solutions to multifaceted mission challenges, providing actionable insights to senior leaders, and enhancing the efficiency and effectiveness of intelligence operations. The ORSA works at the intersection of analytics, operations, and strategy, translating complex datasets and system behaviors into clear, evidence-based recommendations that shape operational planning and enterprise-level decision cycles. Responsibilities * Develop and apply mathematical models, optimization techniques, and algorithmic solutions to improve intelligence operations and resource utilization.
* Conduct systematic analyses of operational workflows to identify inefficiencies, quantify impacts, and recommend improvements.
* Perform statistical analysis and experimental design to evaluate system performance and test operational hypotheses.
* Build and run discrete event simulations to model complex operational scenarios and assess potential courses of action.
* Apply decision analysis and risk assessment methodologies to support planning in uncertain and dynamic environments.
* Develop, measure, and assess operational metrics, including Measures of Performance (MOPs), Measures of Effectiveness (MOEs), and Key Performance Indicators (KPIs).
* Design data collection strategies to ensure accurate and comprehensive evaluation of operational systems.
* Evaluate system performance using quantitative techniques and provide recommendations for optimization.
* Prepare analytical reports, dashboards, and visualizations explaining findings to both technical and non-technical stakeholders.
* Brief complex analysis and model results to senior leadership to support data-driven decision-making.
* Support operational planning teams with quantitative insights and structured analytical methodologies.
* Identify opportunities to improve processes, automate tasks, and enhance mission performance.
* Develop custom analytical tools, models, and approaches tailored to specific intelligence or operational requirements.
* Participate in JIOC intelligence planning conferences, exercises, J2 working groups, capability development sessions, national-level coordination boards, and technical exchange meetings. Qualifications * Bachelor's degree in Operations Research, Systems Engineering, Mathematics, Statistics, or a related quantitative field.
Required Skills * Experience applying operations research techniques (optimization, modeling, simulation, decision analysis).
* Knowledge of statistical analysis and experimental design methodologies.
* Proficiency in simulation modeling tools and frameworks.
* Understanding of decision science and risk evaluation techniques.
* Strong skills in quantitative visualization and technical communication.
* Experience using analytical software such as R, Python, MATLAB, or similar tools.
* Ability to turn complex analytical findings into clear, actionable insights for operational use.
* Strong analytical thinking and structured problem-solving ability.
* Ability to communicate technical concepts effectively to leadership and non-technical audiences.
Experience * Minimum 3-5 years of relevant experience in operations research, systems analysis, or related analytical roles. Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity

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