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Data Science Manager Jobs in Hawaii (NOW HIRING)

KBR

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

KBR, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

Booz Allen Hamilton

Data Analyst

Honolulu, HI

$77K - $176K/yr

You Have: * 5+ years of experience with Data Analysis, Data Science, and Data Visualization ... Experience with AI, ML, data management, and data visualization * Experience with quantitative data ...

Booz Allen Hamilton, Inc.

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

You Have: * 5+ years of experience with Data Analysis, Data Science, and Data Visualization ... Experience with AI, ML, data management, and data visualization * Experience with quantitative data ...

Booz Allen Hamilton

Data Analyst

Honolulu, HI

$77K - $176K/yr

You Have: * 5+ years of experience with Data Analysis, Data Science, and Data Visualization ... Experience with AI, ML, data management, and data visualization * Experience with quantitative data ...

Booz Allen Hamilton, Inc.

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

You Have: * 5+ years of experience with Data Analysis, Data Science, and Data Visualization ... Experience with AI, ML, data management, and data visualization * Experience with quantitative data ...

Markon

Data Scientist

Wahiawa, HI · On-site

$120K - $145K/yr

Description Markon is seeking a Data Scientist to support our Fort Meade Customer with the ... management services. Markon values people and the tremendous impact each individual can make ...

Markon

Data Scientist

Wahiawa, HI

$120K - $145K/yr

Markon is seeking a Data Scientist to support our Fort Meade Customer with the development of data ... management services. Markon values people and the tremendous impact each individual can make ...

Markon

Data Scientist

Wahiawa, HI

$120K - $145K/yr

Description Markon is seeking a Data Scientist to support our Fort Meade Customer with the ... management services. Markon values people and the tremendous impact each individual can make ...

KBR

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

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Data Science Manager information

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$32.2K

$100.9K

$178.7K

How much do data science manager jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data science manager in Hawaii is $100,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $130,400.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 Manager jobs in Hawaii? For Data Science Manager jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Hawaii look for? The top searched job categories for Data Science Manager jobs in Hawaii are:
What cities in Hawaii are hiring for Data Science Manager jobs? Cities in Hawaii with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Hawaii as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $100,929 per year, or $48.5 per hour.
Data Scientist (Intelligence) - TS.SCI w/Polygraph

Data Scientist (Intelligence) - TS.SCI w/Polygraph

General Dynamics Information Technology

Joint Base Pearl Habor Hickam, HI • On-site

$110K - $149K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

REQ#: RQ219993Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to serve as a critical component of our nations safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

Data Scientist MID

HOW A DATA SCIENTIST MID WILL MAKE AN IMPACT

Our work depends on a Mid-level Data Scientist to provide advanced analytics, data engineering, AI/ML development, and quantitative decisionsupport within the Pacific theater. You will help transform large, multisource intelligence datasets into actionable insights that drive operational planning, targeting, threat assessments, and seniorleader decisionmaking across the IndoPacific theater.

As a MidLevel Data Scientist, you will:

  • Perform complex statistical analysis and data modeling to extract actionable insights from diverse intelligence datasets.
  • Design and implement advanced data visualizations to support JIOC analytical workflows and operational decisionmaking.
  • Develop and validate statistical models to identify patterns, trends, and relationships across multiINT data sources.
  • Create and support the implementation of AI/ML algorithms and automated analytic systems that strengthen JIOC intelligence capabilities.
  • Conduct exploratory data analysis (EDA) across internal and external sources to inform intelligence production.
  • Build automated data integration, transformation, and conditioning pipelines to support allsource analysis.
  • Collaborate closely with analysts and computer scientists to design and implement new data workflows, tools, and processes.
  • Create scripts, algorithms, and automated tools to reduce manual workloads and enhance analytical throughput.
  • Improve overall data quality, discoverability, and search capability, enhancing predictive modeling and operational analysis.
  • Apply experimental design principles to test hypotheses and improve intelligence production processes.
  • Assess existing data capabilities and recommend analytical, architectural, or process improvements for the intelligence enterprise.
  • Work handinhand with intelligence analysts and operators to define operational data requirements and develop missionrelevant data solutions.

WHAT YOULL NEED TO SUCCEED

Security Clearance: Active TS/SCI w/ polygraph

Required Education and Experience: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or another quantitative field. 3-5 yrs related experience. At least a portion of your experience must be in the last 2 yrs.

Required Skills:

  • Proficiency in Python, R, and SQL for data manipulation, analytics, and modeling.
  • Experience with data visualization tools, including Power BI and/or Tableau.
  • Strong knowledge of statistical analysis techniques and analytic methodologies.
  • Understanding of AI/ML concepts and their application to intelligence problems.
  • Experience with database systems, data management, and structured/unstructured data environments.
  • Familiarity with cloudbased bigdata technologies and scalable architectures.
  • Understanding of intelligence analysis processes, mission requirements, and multiINT data types.
  • Experience working with structured and unstructured datasets in complex operational environments.

Preferred Skills:

  • Experience supporting IndoPacific regional analysis (e.g., China, Taiwan, Japan, Korea, Southeast Asia).
  • Familiarity with DoW and IC production standards and processes.
  • Experience producing highvisibility briefings for command leadership.

GDIT IS YOUR PLACE

  • 401K: With company match.
  • Health & Wellness: Comprehensive health and wellness packages.
  • Career Growth: Internal mobility team dedicated to helping you own your career.
  • Professional Development: Growth opportunities including paid education and certifications.
  • Innovative Tech: Access to cutting-edge technology to stay ahead of the mission.
  • Work-Life Balance: Rest and recharge with paid vacation and holidays.
Work Requirements
Years of Experience

3 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification
Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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