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Ai Math Jobs in Hawaii (NOW HIRING)

BigBear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

... AI/ML deployment * Master's degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related) Pay transparency Please note the targeted compensation ...

Bigbear.ai

Data Scientist - Journeyman

Honolulu, HI · On-site

$119K/yr

... AI/ML deployment * Master's degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related) Pay transparency Please note the targeted compensation ...

Cymertek Corporation

AI/ML Engineer

Honolulu, HI · On-site

$125 - $150/hr

AI/ML Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... Engineering, Mathematics, Statistics, Computational Linguistics, Software Engineering, etc.

Cymertek

AI/ML Engineer

Honolulu, HI · On-site

AI/ML Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position ... Engineering, Mathematics, Statistics, Computational Linguistics, Software Engineering, etc.

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Sony

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Munich Re

Sr. Solution Architect

Honolulu, HI · On-site

... Systems, Mathematics, or Business (or equivalent). * Strong experience with cloud platforms and services , including: * Azure (e.g.; Azure AI Studio, Azure Data Services and tools) * AWS (e.g.

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Ai Math information

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

What are the key skills and qualifications needed to thrive as an AI Math specialist?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Ai Math jobs in Hawaii?

For Ai Math jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Ai Math jobs in Hawaii look for?

The top searched job categories for Ai Math jobs in Hawaii are:

Ai Math jobs near you
Infographic showing various Ai Math job openings in Hawaii as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Data Scientist - Journeyman

Honolulu, HI • On-site

BigBear.ai
Software Development • 501 - 1,000 employees
Learn more about BigBear.aiexternal

Other

Posted 22 days ago

Job description

Residency
All applicants must currently reside in the United States
Overview
BigBear.ai is seeking a Journeyman Data Scientist to support a Department of the Army enterprise data team by delivering advanced analytics, predictive modeling, and secure AI/ML integration. In this role, you will apply rigorous statistical methods and modern machine learning (including NLP and Generative AI) to forecast operational trends, inform executive decisions, and develop high-fidelity models, dashboards, and cognitive agents across multiple classification enclaves.
You will collaborate closely with Data Architects and Data Engineers to build on standardized, governed data pipelines and help maintain trusted "single source of truth" repositories in accordance with strict security and classification protocols.
What you will do
  • Build, test, and deploy machine learning and statistical models (e.g., forecasting, classification, regression) to answer mission-critical questions and improve decision-making
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, data quality issues, and operational drivers across complex, multi-source datasets
  • Develop and operationalize features and model pipelines in partnership with data engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments
  • Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data
  • Create clear, executive-ready analytic products (dashboards, visualizations, and briefings) that translate technical results into actionable recommendations
  • Work across multiple classification enclaves while complying with all security, handling, and documentation requirements
  • Collaborate with stakeholders to refine problem statements, define measures of success, and validate that analytic outputs align to operational needs
  • Monitor and improve model performance over time, including drift detection, recalibration, and documentation of assumptions and limitations

What you need to have
  • Must maintain an active DoD TS/SCI security clearance
  • 5+ years of experience in applied statistics, predictive modeling, ML, or quantitative research
  • Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical, Systems, Industrial, or Computer Engineering; Computer Science (with strong mathematics focus); Operations Research or Econometrics)
  • Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA
  • Demonstrated knowledge and application of forecasting, regression, and modern ML frameworks (scikit-learn, TensorFlow, PyTorch)
  • Experience working with LLMs/Generative AI within secure, governed enterprise boundaries
  • Experience with creating executive-level data storytelling via visualizations/dashboards

What we'd like you to have
  • Experience working within enterprise big data platforms, especially Palantir Foundry (Contour, Workshop, Quiver); or Databricks, Snowflake
  • Familiarity with the Defense/Intelligence sector, including Headquarters operations and intelligence data structures/sources
  • Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment
  • Master's degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related)

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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