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Data Science Project Manager Jobs in Hawaii (NOW HIRING)

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

... manage and prioritize tasks to ensure optimum productivity. • Bachelor of Science required in the following preferred fields; Computer Science, Data Science, EE, ME, IE, Physics, Information ...

Data Scientist

Aiea, HI · On-site

$141.50K - $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 Level 3

Waimanalo, HI · On-site

$55.16K - $121.25K/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 Processing: (Data management and curation, data description and visualization, workflow, and ... Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics ... Understanding of database management systems * Experience in deploying models to production

Partner with program managers, data scientists, data engineers, cybersecurity staff, and customer stakeholders to translate mission and business requirements into robust technical data solutions.

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Data Science Project Manager information

See Hawaii salary details

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

As of Jun 1, 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 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.

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 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.

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 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 Scientist (Active Secret Clearance)

Data Scientist (Active Secret Clearance)

Striveworks

Schofield Barracks, HI

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren't just deploying AI-they're building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they're deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs-and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Data Scientist at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.
You're right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You're outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks' product teams.

Your day-to-day will include:

  • Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
  • Implementing AI-based software solutions for cloud and edge environments
  • Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oahu, Hawaii. You will be expected to travel up to 30% of the time, including some international travel.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here's what we're looking for:

  • BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience 
  • Proficiency in machine learning and data science, and applying both to image and video data
  • Proficiency in implementing and analyzing data structures and algorithms
  • Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
  • Exposure to software development life cycle and tools (e.g., Git, Agile) 
  • Active Secret (or above) US security clearance
  • Due to the nature of this role, candidates must have US citizenship
The Wish List

We're very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

  • Advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
  • Experience deploying machine learning and data science, and applying both to production environments
  • Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
  • Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
  • Experience building AI agents and agentic workflows
  • Experience implementing ETL pipelines, data pipelines, and/or workflow automation
  • Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
  • Experience building full-stack applications (i.e., back end, front end, REST)
  • Experience delivering technology solutions in secure government environments
  • Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $175,000-$205,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans 
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.