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Associate Science Jobs in Hawaii (NOW HIRING)

Data Scientist

Aiea, HI

$141K - $236K/yr

Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics ... High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

Data Scientist Level 3

Waimanalo, HI · On-site

$88K - $121K/yr

... an Associate's degree required. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science * A ...

... an Associate's degree required. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science * A ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics ... High School and 4 years of additional experience or Associate's Degree and 2 years of additional ...

Data Scientist Level 3

Wahiawa, HI · On-site

$162K - $180K/yr

Associates degree with 12 years of relevant experience * Experience supporting government or DoD programs * Relevant experience must be in designing/implementing machine learning, data science ...

Associates degree with 12 years of relevant experience * Experience supporting government or DoD programs * Relevant experience must be in designing/implementing machine learning, data science ...

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Associate Science information

See Hawaii salary details

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How much do associate science jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for associate science in Hawaii is $20.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $21.49 per hour, depending on experience, location, and employer.

What professions make 200,000 a year without a degree?

In the associate science field, high-paying roles such as certain technical sales positions, commercial pilots, or specialized technicians can reach or exceed $200,000 annually, often requiring strong technical skills, certifications, or experience rather than a four-year degree. These roles typically involve hands-on work, industry-specific knowledge, and sometimes licensing or certification requirements.

What does a scientific Associate do?

A scientific Associate supports research and laboratory activities by collecting data, conducting experiments, and analyzing results. They often work under the supervision of scientists or researchers and may use tools like laboratory equipment and software to assist in scientific investigations.

What are the key skills and qualifications needed to thrive as an Associate Scientist, and why are they important?

To thrive as an Associate Scientist, you need a solid background in biological or chemical sciences, often supported by a bachelor's or master's degree in a relevant field. Familiarity with laboratory techniques, data analysis software, and safety protocols is typically required. Strong attention to detail, critical thinking, and effective communication are vital soft skills for this role. These skills ensure accurate experimentation, reliable results, and effective collaboration within research teams.

What kind of job can I get with an Associates in Social Science?

An Associate in Social Science prepares graduates for roles such as social services assistant, community outreach worker, case manager, or administrative support in social service organizations. These positions often require strong communication, research, and organizational skills, and may involve working with diverse populations or supporting social programs.

What are some typical daily tasks and collaborative responsibilities for an Associate Science professional in a laboratory setting?

Associate Science professionals in laboratory settings are commonly tasked with preparing and analyzing samples, maintaining lab equipment, and documenting experimental results. They often collaborate closely with senior scientists and research teams to ensure experiments run smoothly and data is accurately recorded. Regular responsibilities may also include participating in team meetings to discuss findings and troubleshoot issues, as well as adhering to strict safety protocols. This collaborative and detail-oriented environment provides valuable experience for those looking to advance in scientific research careers.

What can I do with just an Associate's in science?

An Associate's in science prepares individuals for entry-level roles in fields such as laboratory technician, research assistant, pharmacy technician, or environmental technician. These positions often require basic laboratory skills, familiarity with scientific tools, and sometimes certification or on-the-job training.

What is the difference between Associate Science vs Laboratory Technician?

AspectAssociate ScienceLaboratory Technician
CredentialsAssociate degree in Science or related fieldAssociate degree or certification in laboratory techniques
Work EnvironmentEducational settings, research labs, healthcare facilitiesResearch labs, hospitals, industrial labs
Employer & IndustryColleges, universities, research institutions, healthcare providersMedical labs, biotech companies, manufacturing
Common Search & ComparisonYesYes

While both roles require an associate degree, Associate Science professionals often work in educational or research settings, focusing on scientific education and research. Laboratory Technicians typically work in clinical or industrial labs, performing tests and supporting scientific experiments. The main difference lies in their work environment and specific job functions, though both roles share similar educational requirements.

What are Associate Science jobs?

Associate Science jobs typically refer to positions that require an Associate of Science (AS) degree, which is a two-year undergraduate degree focused on foundational science and math courses. Graduates often work as laboratory technicians, research assistants, environmental science technicians, or healthcare support roles. These jobs provide hands-on experience in scientific settings and can serve as a stepping stone to a bachelor's degree or higher-level positions in science-related fields.
What are the most commonly searched types of Science jobs in Hawaii? The most popular types of Science jobs in Hawaii are:
What are popular job titles related to Associate Science jobs in Hawaii? For Associate Science jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Associate Science jobs in Hawaii look for? The top searched job categories for Associate Science jobs in Hawaii are:
What cities in Hawaii are hiring for Associate Science jobs? Cities in Hawaii with the most Associate Science job openings:
Infographic showing various Associate Science job openings in Hawaii as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,937 per year, or $20.6 per hour.

Data Scientist 2 with Security Clearance

GRVTY

Honolulu, HI • On-site

Other

Posted 2 days ago


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.