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Data Science Project Manager Jobs in Hawaii (NOW HIRING)

EPC Service Inc

Construction Project Manager

Hakalau, HI · On-site

$110K - $140K/yr

... scientific environment. SUMMARY OF RESPONSIBILITIES The Project Manager oversees profitable ... administrative and field activities for multiple federal projects ($250k-$5M), directing teams ...

EPC Service, Inc.

Construction Project Manager

Hakalau, HI · Hybrid

$110K - $140K/yr

... scientific environment. SUMMARY OF RESPONSIBILITIES The Project Manager oversees profitable ... administrative and field activities for multiple federal projects ($250k-$5M), directing teams ...

EPC Service Inc

Construction Project Manager

Maunaloa, HI · On-site

$110K - $140K/yr

... scientific environment. SUMMARY OF RESPONSIBILITIES The Project Manager oversees profitable ... administrative and field activities for multiple federal projects ($250k-$5M), directing teams ...

EPC Service, Inc.

Construction Project Manager

Maunaloa, HI · On-site +1

$110K - $140K/yr

... scientific environment. SUMMARY OF RESPONSIBILITIES The Project Manager oversees profitable ... administrative and field activities for multiple federal projects ($250k-$5M), directing teams ...

DatamanUSA, LLC

Project Manager

Honolulu, HI · On-site

Honolulu, HI Duration: 12 months Required Qualifications *) Bachelor s degree in Computer Science ... data security, privacy regulations, and database technologies *) Excellent analytical ...

GRVTY

Data Scientist 2

Honolulu, HI

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 · 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 ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$98K - $108K/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 · On-site

$98K - $108K/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 · On-site

... science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python)), statistical analysis, data management, data mining, data modeling and assessment ...

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 ...

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All JobsData Science Project 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 Aug 6, 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 a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

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.
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 August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $124,277 per year, or $59.7 per hour.

Data Scientist I - NAVSEA

National Capitol Contracting LLC

Waimanalo, HI • On-site

Full-time

Posted 29 days ago

Job description

NCC is seeking a Data Scientist I to join our team. This role will support the customer by leveraging data analytics, business intelligence tools, and cloud-based technologies to improve operational effectiveness, program performance, and decision-making. This role will work with large and complex datasets to develop dashboards, generate actionable insights, and support data-driven initiatives across customer programs. The ideal candidate is a lifelong learner and data champion who combines strong analytical skills and emotional intelligence with experience in data visualization, database querying, and cloud-based data environments.

The Data Science environment is flexible and highly collaboration oriented, with an expectation of cross training and dynamic teaming on complex problems. We work across contractual and organizational boundaries to help and be helped by large prime contractors, NAVSEA working groups, and Navy stakeholders. Success is measured in solving large structural problems, finding and eliminating small errors, and consistently delivering improved data governance, normalization, transformation, and visualization capabilities. Good stewardship, commitment to service, and a desire to effect positive change in a critical moment in our Navy’s mission are expected and celebrated.

Key Responsibilities
  • Analyze structured and unstructured data to identify trends, patterns, and actionable insights for risks, integrity, and optimized ingest.
  • Design, develop, and maintain interactive dashboards and reports using PowerBI, Qlik Sense/QlikView.
  • Extract, transform, and analyze data using SQL, Python, PostreSQL, and other data management tools.
  • Support data integration efforts across multiple systems and data sources including existing Data Lakes, archived spreadsheets, Access and other legacy databases.
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
  • Develop and maintain data models, performance metrics, and key performance indicators (KPIs).
  • Perform data quality assessments and recommend process improvements.
  • Create visualizations and presentations that effectively communicate findings to technical and non-technical audiences.
  • Document methodologies, processes, and technical solutions in accordance with NAVSEA and DoD standards.
Minimum Requirements
  • Active Secret clearance.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related technical field.
  • 4+ years of experience in data analytics, business intelligence, data science, or a related field.
  • Hands-on experience with Tableau, PwerBI, Qlik Sense and/or QlikView for dashboard development and reporting.
  • Experience writing and optimizing SQL queries for data extraction and analysis.
  • Experience with AWS services and cloud-based data environments, or demonstrated ability to work within AWS platforms.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Experience working with large datasets and multiple data sources.
  • Proficiency with Microsoft Office Suite, particularly Excel and PowerPoint.
  • Strong written and verbal communication skills.
Preferred Qualifications
  • Knowledge of data warehousing, ETL processes, and data governance principles.
  • Experience with programming languages such as Python or R for data analysis and automation.
  • Familiarity with AWS analytics services such as Amazon Redshift, Athena, Glue, QuickSight, or S3.
  • Experience developing predictive models, statistical analyses, or machine learning solutions.
  • Understanding of Agile methodologies and project management practices.
  • Active Secret Clearance or higher.
  • Experience presenting analytical findings to senior leadership and program stakeholders.