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Data Science Manager Jobs in Hawaii (NOW HIRING)

Performs tasks associated with Big Data Platform management, utilizes skills in programming ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

... and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required * Bachelor's degree, preferably in Computer Science, Information ...

Data Scientist 2

Honolulu, HI · On-site

$125K - $155K/yr

Performs tasks associated with Big Data Platform management, utilizes skills in programming ... Statistics, computer science, and application specific knowledge. * Through analytic modeling ...

Data Scientist 2

Honolulu, HI · On-site

$125K - $155K/yr

Performs tasks associated with Big Data Platform management, utilizes skills in programming ... Statistics, computer science, and application specific knowledge. * Through analytic modeling ...

Data Scientist

Honolulu, HI · On-site

$120K - $160K/yr

... data science applications or advanced analytics such as SQL. * Familiar with Kubernetes clusters ... Project Management / Staff Supervision Tasks: * Ability to manage and prioritize tasks to ensure ...

Data Scientist

Aiea, HI

$141K - $236K/yr

Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics ... management, and customers, via email, phone, and or virtual communication, which may involve ...

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics ... management, and customers, via email, phone, and or virtual communication, which may involve ...

Data Processing: (Data management and curation, data description and visualization, workflow, and ... Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ...

Data Scientist Level 3

Waimanalo, HI · On-site

$88K - $121K/yr

Data Processing: (Data management and curation, data description and visualization, workflow, and ... Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ...

Data Scientist 3

Wahiawa, HI · On-site

$162K - $180K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... Data Processing: (Data management and curation, data description and visualization, workflow and ...

Relevant experience must be in designing/implementing machine learning, data science, advanced ... Data Processing: (Data management and curation, data description and visualization, workflow and ...

Data Scientist 3

Wahiawa, HI · On-site

$162K - $180K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... Data Processing: (Data management and curation, data description and visualization, workflow and ...

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Data Science Manager information

See Hawaii salary details

$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:
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

$120K - $160K/yr

Other

Posted 29 days ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services


Job description

SAIC is seeking an experienced Data Scientist to join our Technical Engineering and Design Department in support of our United States Air Force customer. This position is on-site Honolulu, Hawaii.

Responsibilities

Essential Functions/Job Duties:

  • Develops and implements data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
  • Highly desirable for candidate with experience with AI/ML to design, train, test, and deploy AI and ML models to extract insights and predictions from structured, unstructured, and classified data sources. Apply techniques such as natural language processing (NLP), image recognition, neural networks, and predictive analytics to enhance decision-making processes across diverse DoD missions.
  • Experience with classified data feeds, ensuring the proper handling of sensitive information to remain compliant with DoD and national security regulations. Implement advanced data pre-processing, cleansing, and security protocols suitable for classified datasets.
  • Visualizes, interprets, and reports data findings in dynamic data reports.
  • Employs a variety of data manipulation and visualization tools to best convey information/results to customers.
  • Comfortable working with data in a variety of formats including excel, CSV, JSON, XML.
  • Supports the design, development, testing and implementation of web based collaboration tools & platforms for data reporting. Plans and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives.
  • Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
  • Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
  • Conduct exploratory data analysis for testing hypothesis.
  • Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers.
  • Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

TYPICAL EDUCATION AND EXPERIENCE: Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience.

Skills/Qualifications:

  • Five (5) years of relevant experience required.

Customer Interface Activities:

  • Effective inter-personnel and customer service skills required to interface with corporate customers.
  • Ability to effectively communicate with the Customer, command staff, and peer contractor personnel.

Project Management / Staff Supervision Tasks:

  • Ability to manage and prioritize tasks to ensure optimum productivity.

Work Schedule:

  • 40 hours weekly.
  • The ability to work non-standard work hours and schedules in support of project requirements.
  • Long distance (>500 miles) travel to other US Government and Contractor facilities, as required.
  • Travel: <15%

Minimum Education Requirements:

  • Bachelor of Science required in the following preferred fields; Computer Science, Data Science, EE, ME, IE, Physics, Information Systems or Information Technology.
  • U.S. Citizenship is required.

Security Clearance:

  • Candidates must have an active TOP SECRET/SCI clearance OR the ability to obtain a US Government TS/SCI security clearance and will be subject to a US security background investigation (i.e. favorable background investigation / credit score). Additional eligibility requirements for access to various levels of classified information may also be required. An active security clearance is highly desirable.
  • Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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