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New Grad Data Scientist Jobs in Hawaii (NOW HIRING)

Bluehawk, LLC

Data Scientist - Sr.

Pearl City, HI · On-site

$90 - $130/hr

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 ...

Bluehawk, LLC

Data Scientist - Jr.

Pearl City, HI · On-site

$80 - $100/hr

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 ...

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

$50K - $120K/yr

Are you a Data Scientist who is ready for a new challenge that will launch your career to the next level? * Tired of being treated like a company drone? * Tired of promised adventures during the ...

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

Are you a Data Scientist who is ready for a new challenge that will launch your career to the next level? * Tired of being treated like a company drone? * Tired of promised adventures during the ...

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

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 ...

Clear Ridge Defense

Data Scientist (Hawaii)

Wahiawa, HI · On-site

$98K - $215K/yr

Years (3+) of relevant experience in machine learning, data science, programming, or statistical ... Unique Flexible PTO * 11 Paid Federal Holidays * $500 New Uniform Bonus for Transitioning Military

Clear Ridge Defense

Data Scientist (Hawaii)

Wahiawa, HI · On-site

$98K - $215K/yr

Years (3+) of relevant experience in machine learning, data science, programming, or statistical ... Unique Flexible PTO * 11 Paid Federal Holidays * $500 New Uniform Bonus for Transitioning Military

SMX

Assessments Data Scientist (Temporary)

Aiea, HI · On-site

$103K - $125K/yr

The Assessments Data Scientist supports SOCPAC SOJ54 initiatives by developing and implementing AI ... SMX does not sponsor a new applicant for employment authorization or immigration related support ...

Cisco

Applied AI Scientist

Honolulu, HI · On-site

Collaborate with engineering, product, and data science teams to understand requirements ... Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ...

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All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Hawaii

New Grad Data Scientist information

See Hawaii salary details

$39K

$127.5K

$204.2K

How much do new grad data scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for new grad data scientist in Hawaii is $127,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $141,300.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Hawaii?

For New Grad Data Scientist jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching New Grad Data Scientist jobs in Hawaii look for?

The top searched job categories for New Grad Data Scientist jobs in Hawaii are:

New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $127,520 per year, or $61.3 per hour.

Data Scientist - Sr.

Pearl City, HI • On-site

Bluehawk, LLC
51 - 200 employees
Learn more about Bluehawk, LLCexternal

$90 - $130/hr

Other

Posted 19 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
  • Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
Required Skills
  • Advanced proficiency in multiple programming languages, analytical frameworks, and machine learning libraries.
  • Deep expertise in AI/ML, deep learning, and artificial intelligence applications.
  • Strong understanding of multi-INT fusion and large-scale intelligence analytics.
  • Demonstrated success deploying predictive models in operational or mission environments.
  • Experience developing custom analytical solutions for complex intelligence problems.
  • Advanced proficiency with cloud platforms, distributed computing, and big data systems.
  • Experience leading data science teams and mentoring junior professionals.
  • Strong understanding of intelligence enterprise requirements and mission priorities.
  • Ability to translate complex analytical results into operational recommendations.
  • Familiarity with DevOps and production deployment processes for analytic solutions.
Experience
  • Minimum of 7 to 10 years of experience in data science, analytics, or machine learning, including experience supporting defense, intelligence, or operational missions.

Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity

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