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Associates Degree In Science Jobs in Hawaii (NOW HIRING)

... Associates degree with 5 years of relevant experience * Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

... 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 ...

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

... 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 ...

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/yr

... 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 ...

OR Associate Degree in Nursing AND at least two (2) years of nursing experience with at least one ... OR Masters of Science in Nursing AND at least one (1) year of hospital experience in one of the ...

OR Associate Degree in Nursing AND at least two (2) years of nursing experience with at least one ... OR Masters of Science in Nursing AND at least one (1) year of hospital experience in one of the ...

... in networking, computer science, or cyber topics is equivalent to an Associate's degree Relevant Experience * Relevant experience must be in computer or information systems design/development ...

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Associates Degree In Science information

What are the key skills and qualifications needed to thrive with an associate's degree in science?

To thrive in roles suited for those with an Associate's Degree in Science, you need a solid grasp of foundational scientific principles, analytical thinking, and basic laboratory or technical skills, supported by the degree itself. Familiarity with lab equipment, data analysis software, and industry-specific safety protocols is often required. Strong attention to detail, teamwork, and communication skills help individuals excel in collaborative and fast-paced environments. These abilities ensure accurate results, effective collaboration, and adherence to safety standards, which are crucial for success in scientific and technical roles.

What is the difference between Associates Degree In Science vs Medical Assistant?

AspectAssociates Degree In ScienceMedical Assistant
Required CredentialsTypically an associate degree in science from a college or universityPostsecondary certificate or diploma, sometimes an associate degree
Work EnvironmentLaboratories, research facilities, educational settingsClinics, hospitals, medical offices
Industry UsageUsed across various science-related fields and educational institutionsPrimarily in healthcare settings assisting medical professionals
Common Search/ComparisonAssociates Degree In Science vs Medical Assistant

The Associates Degree In Science provides a broad foundation in scientific principles suitable for various careers or further education. In contrast, a Medical Assistant focuses on clinical and administrative tasks within healthcare settings. While both roles may require postsecondary education, the Associates Degree In Science offers a more general science background, whereas Medical Assistants are trained specifically for medical office support.

Is an associates degree in science worth it?

An associate's degree in science can be valuable for entry-level positions in healthcare, research, or technical fields, often providing foundational knowledge and skills. It typically takes two years to complete and can serve as a stepping stone to further education or certifications, increasing job opportunities and earning potential.

What can you do with an associate's degree in science?

An Associate's Degree in Science provides foundational education in subjects like biology, chemistry, physics, and mathematics, preparing graduates for entry-level jobs or further study. With this degree, you can pursue roles such as laboratory technician, research assistant, environmental technician, or medical assistant. Many students also use it as a stepping stone to transfer to a four-year college to earn a bachelor's degree in a science-related field. The degree offers flexibility and can help you start a career in healthcare, technology, or research industries.
What are popular job titles related to Associates Degree In Science jobs in Hawaii? For Associates Degree In Science jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Associates Degree In Science jobs in Hawaii look for? The top searched job categories for Associates Degree In Science jobs in Hawaii are:
Infographic showing various Associates Degree In Science job openings in Hawaii as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist 2

GRVTY

Honolulu, HI • On-site

Full-time

Re-posted 28 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'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 (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.