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Data Science Project Manager Jobs in Hawaii (NOW HIRING)

GRVTY

Data Scientist 2

Honolulu, HI · On-site

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

ManTech

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 ...

GRVTY

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 ...

GRVTY

Data Scientist 2

Honolulu, HI

$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 ...

ManTech International

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 ...

IntelliGenesis LLC

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 ...

IntelliGenesis

Data Scientist Level 3

Waimanalo, HI · On-site

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 ...

HSI Mechanical, Inc.

Project Manager

Honolulu, HI · On-site

$100K - $130K/yr

The Project Manager will lead the project management team, including Project Superintendents ... Strong Mathematical and Scientific Aptitude : Proficient in mathematics, physical science, and ...

HSI Mechanical, Inc.

Project Manager

Honolulu, HI · On-site

$100K - $130K/yr

The Project Manager will lead the project management team, including Project Superintendents ... Strong Mathematical and Scientific Aptitude : Proficient in mathematics, physical science, and ...

HSI Mechanical, Inc.

Project Manager

Honolulu, HI · On-site

$100K - $130K/yr

The Project Manager will lead the project management team, including Project Superintendents ... Strong Mathematical and Scientific Aptitude : Proficient in mathematics, physical science, and ...

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All JobsData Science Project Manager JobsData Science Project Manager Jobs in Hawaii

Data Science Project Manager information

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How much do data science project manager jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data science project manager in Hawaii is $59.75, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $69.95 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, 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 efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Hawaii? For Data Science Project Manager jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Hawaii look for? The top searched job categories for Data Science Project Manager jobs in Hawaii are:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Hawaii as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,277 per year, or $59.7 per hour.

Data Scientist 2

GRVTY

Honolulu, HI • On-site

Other

Posted 12 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'sDegree 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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