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Data Science Intern Jobs in Hawaii (NOW HIRING)

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Required Skills * Proficiency in Python, R, SQL, or similar programming languages.

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ManTech International

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 9+ years of relevant experience, including 4+ years leading data science initiatives and developing ...

Cymertek

Data Scientist

Honolulu, HI · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Information Systems, Operations Research ...

Cymertek

Data Scientist

Honolulu, HI · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information ...

Clear Ridge Defense

Data Scientist (Hawaii)

Wahiawa, HI · On-site

$98K - $215K/yr

Make and communicate principled conclusions from data employing mathematics, statistics, computer science, and application-specific knowledge. * Use various forms of analysis methodology to ...

Clear Ridge Defense

Data Scientist (Hawaii)

Wahiawa, HI · On-site

$98K - $215K/yr

Make and communicate principled conclusions from data employing mathematics, statistics, computer science, and application-specific knowledge. * Use various forms of analysis methodology to ...

Zimmer Biomet

$14.50 - $19.25/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Data Science Intern information

See Hawaii salary details

$12

$23

$43

How much do data science intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data science intern in Hawaii is $23.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $25.48 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Hawaii? The most popular types of Data Science jobs in Hawaii are:
What are popular job titles related to Data Science Intern jobs in Hawaii? For Data Science Intern jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Science Intern jobs in Hawaii look for? The top searched job categories for Data Science Intern jobs in Hawaii are:
What cities in Hawaii are hiring for Data Science Intern jobs? Cities in Hawaii with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,633 per year, or $23.4 per hour.

Data Scientist 2 with Security Clearance

GRVTY

Honolulu, HI • On-site

Other

Re-posted 3 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.

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