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Predictive Analytics Jobs in Hawaii (NOW HIRING)

GDIT

AI Engineer SME

Honolulu, HI · On-site +1

$169K - $229K/yr

Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems. * Integrate AI solutions into secure enterprise and tactical environments. * Ensure ...

ManTech

Data Scientist

Aiea, HI

$141K - $236K/yr

Design and deploy predictive models, data pipelines, and statistical analyses to inform mission decisions. * Translate data into actionable intelligence for both technical and non-technical audiences ...

hawaiianel

Fire Behavior Analyst - Oahu

Honolulu, HI

Supports operational decision-making through predictive analytics and geospatial intelligence. ESSENTIAL FUNCTIONS: * Fire Behavior Modeling and Planning * Designs and implements computational models ...

ManTech International

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

Design and deploy predictive models, data pipelines, and statistical analyses to inform mission decisions. * Translate data into actionable intelligence for both technical and non-technical audiences ...

University of Maryland Global Campus

... predictive analytics, machine learning, data visualization, data-driven decision-making, optimization techniques, and/or business intelligence. * Directly relevant, current and active industry ...

University of Maryland Global Campus

... predictive analytics, machine learning, data visualization, data-driven decision-making, optimization techniques, and/or business intelligence. * Directly relevant, current and active industry ...

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Predictive Analytics information

See Hawaii salary details

$28.1K

$117.1K

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How much do predictive analytics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for predictive analytics in Hawaii is $117,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,800.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a Predictive Analytics job?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are some typical challenges faced in a Predictive Analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What are the key skills and qualifications needed to thrive in the Predictive Analytics position, and why are they important?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are the most commonly searched types of Predictive Analytics jobs in Hawaii? The most popular types of Predictive Analytics jobs in Hawaii are:
What are popular job titles related to Predictive Analytics jobs in Hawaii? For Predictive Analytics jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics jobs in Hawaii look for? The top searched job categories for Predictive Analytics jobs in Hawaii are:
Predictive Analytics jobs near you
AI Engineer SME

AI Engineer SME

GDIT

Honolulu, HI • On-site, Remote

$169K - $229K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

Secret

Clearance Level Must Be Able to Obtain:

Secret

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

AI Integration, Artificial Intelligence Strategy, Automation Frameworks, Data Science, Predictive Analytics

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

Yes

Job Description:

Transform technology into opportunity as an AI Engineer SME at GDIT. Shape what's next for mission-critical government projects while shaping what's next for your engineering career.

We are seeking a highly experienced Artificial Intelligence (AI) Engineer - Subject Matter Expert (SME) to provide technical leadership and advanced engineering support for mission-critical defense systems in Oahu, Hawaii.

The AI SME will architect, develop, integrate, and operationalize AI/ML capabilities that enhance decision support, cyber defense, logistics optimization, ISR analysis, and operational readiness across classified and unclassified environments.

Key Responsibilities

  • Serve as the technical authority for AI/ML strategy, architecture, and implementation across the program.
  • Design and deploy scalable AI/ML models in support of operational defense missions.
  • Lead development of predictive analytics, automation frameworks, and intelligent decision-support systems.
  • Integrate AI solutions into secure enterprise and tactical environments.
  • Ensure compliance with DoW cybersecurity and data governance standards.
  • Provide oversight of data engineering pipelines and model lifecycle management (MLOps).
  • Develop and maintain model validation, explainability, and bias mitigation practices.
  • Advise program leadership and government stakeholders on emerging AI technologies and mission applications.
  • Support transition of experimental or prototype AI capabilities into operational production systems.
  • Mentor junior engineers and provide technical leadership across cross-functional teams.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field (Master's or PhD preferred).
  • 10+ years of experience in software engineering, data science, or AI/ML development.
  • 5+ years of hands-on experience designing and deploying AI/ML solutions in production environments.
  • Demonstrated experience with:
    • Python, R, or similar programming languages
    • Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
    • Data engineering and large-scale data processing
    • Model deployment and MLOps pipelines
  • Experience implementing AI solutions in secure or regulated environments.
  • Active Secret clearance (TS preferred).

Preferred Qualifications

  • Experience supporting U.S. Department of War programs.
  • Familiarity with DoW AI governance and modernization initiatives.
  • Experience working with or supporting organizations such as the U.S. Indo-Pacific Command or U.S. Pacific Fleet.
  • Experience deploying AI in cloud environments (AWS GovCloud, Azure Government).
  • Knowledge of Zero Trust architectures and cybersecurity integration.
  • Experience with computer vision, natural language processing, or predictive analytics in ISR or cyber mission sets.
  • DoW 8140 / IAM or IAT certification

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

  • Growth: AI-powered career tool that identifies career steps and learning opportunities
  • Support: An internal mobility team focused on helping you achieve your career goals
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
  • Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#DefendTheIndoPacific

The likely salary range for this position is $169,604 - $229,464. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA HI Honolulu

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

Sourced by ZipRecruiter

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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