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Data Science Intern Jobs in Hawaii (NOW HIRING)

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.

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 ...

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

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

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 ...

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 ...

$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 ...

$15.50 - $20.75/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 ...

Showing results 21-40

Data Science Intern information

See Hawaii salary details

$12

$23

$43

How much do data science intern jobs pay per hour?

As of Aug 9, 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 cities in Hawaii are hiring for Data Science Intern jobs? Cities in Hawaii with the most Data Science Intern job openings:
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 - Mid-Level

Bluehawk, LLC

Pearl City, HI • On-site

$80 - $120/hr

Other

Posted 4 days ago


Job description

Overview

The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions.

This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.

Responsibilities
  • Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
  • Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
  • Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
  • Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
  • Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
  • Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
  • Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
  • Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
  • Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
  • Apply experimental design principles to test hypotheses and evaluate intelligence processes.
  • Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
  • Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
  • Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
  • Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings.
Qualifications

Education

  • 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.
  • Experience with data visualization platforms such as Power BI or Tableau.
  • Strong understanding of statistical techniques and modeling approaches.
  • Foundational knowledge of AI/ML concepts and applications.
  • Experience working with relational and/or NoSQL databases.
  • Familiarity with cloud-based big data technologies.
  • Ability to explain complex technical findings to non-technical audiences.
  • Understanding of intelligence analysis processes and mission requirements.
  • Experience working with structured and unstructured datasets in complex environments.

Experience

  • Minimum of 3 to 5 years of experience in data science, analytics, machine learning, or related technical fields.
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