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Mathematician Jobs in Hawaii (NOW HIRING)

GRVTY

Data Scientist 2

Honolulu, HI · On-site

Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. • Through analytic modeling, statistical ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

Honsador Lumber

Forklift Operator

Kapolei, HI · On-site

$22/hr

Strong understanding of basic math concepts. * Obtain forklift certification and operate a forklift. Preferred Qualifications: * Experience in a warehouse and building material knowledge. * Previous ...

Honsador Lumber

Forklift Operator

Kapolei, HI · On-site

$17.50 - $20.75/hr

Strong understanding of basic math concepts. * Obtain forklift certification and operate a forklift. Preferred Qualifications * Experience in a warehouse and building material knowledge. * Previous ...

Grace Pacific LLC

Gradesetter - Paving

Kapolei, HI · On-site

Computer Skills N/A Math Good mathematical skills Reading Ability to read and comprehend drawings for job specifications.*This is a union position. Candidates for this position must already be a ...

Grace Pacific LLC

Gradesetter - Paving

Kapolei, HI

Ability to apply concepts of basic mathematics and measurements to practical situations * Efficiently communicate directions, issues, and resolutions Minimum Qualification Requirements: Experience 5 ...

Grace Pacific LLC

Gradesetter - Paving

Kapolei, HI · On-site

Ability to apply concepts of basic mathematics and measurements to practical situations * Efficiently communicate directions, issues, and resolutions Minimum Qualification Requirements: Experience 5 ...

Grace Pacific LLC

Lead Sign Installer

Honolulu, HI · On-site

$20 - $25/hr

Able to multitask Proficient in math and the ability to calculate on a consistent basisAble to wear respiratory protective equipmentMust be able to pass a medical evaluation for inclusion into the ...

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All JobsMathematician JobsMathematician Jobs in Hawaii

Mathematician information

See Hawaii salary details

$28.6K

$58.9K

$62.9K

How much do mathematician jobs pay per year?

As of Aug 10, 2026, the average yearly pay for mathematician in Hawaii is $58,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $61,800.00 per year, depending on experience, location, and employer.

What is the difference between Mathematician vs Data Analyst?

AspectMathematicianData Analyst
Required CredentialsBachelor's degree in Mathematics or related field; advanced degrees often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentResearch labs, universities, government agencies, private sector R&DBusiness offices, tech companies, finance, healthcare, consulting firms
Employer & Industry UsageAcademia, government, research institutions, tech companiesCorporate, finance, marketing, healthcare, technology

While both roles involve working with data and quantitative analysis, mathematicians focus more on theoretical research and developing new mathematical models, often in academic or research settings. Data analysts primarily interpret existing data to help organizations make informed decisions, working in business environments. Understanding these differences can help you choose the career path that aligns with your skills and interests.

What does a mathematician do?

Mathematicians are employed in academia, government, and the private sector to solve problems using mathematical formulas. They work on teams with engineers, scientists, and other math professionals. Mathematicians conduct research to develop and understand mathematical principles and create models to solve practical problems in fields such as business, government, engineering, and the sciences. Mathematicians analyze data and apply mathematical techniques to help solve real-world problems. They recognize previously unknown relationships between known mathematical principles. Mathematicians may develop computational methods and computer codes.

What are the key skills and qualifications needed to thrive as a mathematician, and why are they important?

To thrive as a Mathematician, you need advanced mathematical knowledge, strong analytical reasoning, and typically at least a bachelor's or master's degree in mathematics or a related field. Familiarity with mathematical software such as MATLAB, Mathematica, or programming languages like Python is often required, along with experience in statistical analysis tools. Exceptional problem-solving skills, attention to detail, and effective communication are vital soft skills that help convey complex concepts clearly. These abilities are crucial for developing innovative solutions, conducting thorough research, and collaborating effectively in academic, industrial, or governmental environments.

What careers are there in mathematics?

Mathematicians work in various fields including academia, research, finance, data analysis, cryptography, and technology. They often use skills in problem-solving, programming, and statistical analysis, and may require advanced degrees or certifications depending on the role.

How do mathematicians typically collaborate with professionals in other fields, such as engineering or data science?

Mathematicians often work closely with experts from various disciplines to solve complex real-world problems. For example, they may partner with engineers to develop optimized algorithms or with data scientists to create statistical models. Collaboration usually involves regular meetings, sharing research findings, and jointly developing solutions that integrate mathematical theory with practical applications. These interdisciplinary projects can broaden your perspective and enhance your communication and teamwork skills, making the role both challenging and rewarding.
More about Mathematician jobs
What are popular job titles related to Mathematician jobs in Hawaii? For Mathematician jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Mathematician jobs in Hawaii look for? The top searched job categories for Mathematician jobs in Hawaii are:
What are popular job titles related to Mathematician jobs in HI? For Mathematician jobs in HI, the most frequently searched job titles are:
Mathematician jobs near you
Infographic showing various Mathematician job openings in Hawaii as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $58,933 per year, or $28.3 per hour.

Data Scientist 2 with Security Clearance

GRVTY

Honolulu, HI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

What You'll be Owning: * We are actively searching for Data Scientists, located in Hawaii, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and education. * Performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms as well as algorithm refinements, and supports data visualization and analytics. What You Must Have : * Bachelor's Degree with 3 years of relevant experience OR Associates degree with 5 years of relevant experience * Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred * Active TS/SCI w/poly What Would Be Nice to Have: * Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, * Statistics, computer science, and application specific knowledge. * Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting, processing, storage and analytic capabilities and limitations.

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