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Remote Data Scientist Jobs in Hawaii (NOW HIRING)

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Remote Work: Hybrid Job Number: R0245942 Location: Honolulu,HI,US Share job via: Share Data ... You Have : * 3+ years of experience in software development, data science, or data engineering ...

Data Engineer

Honolulu, HI · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0237843 Location: Honolulu,HI,US Share job via: Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer or Data Scientist to support mission-critical ...

Data Engineer

Honolulu, HI · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245086 Location: Honolulu,HI,US Share job via: Share Data Engineer The Opportunity: As a data engineer at Booz Allen, you'll use your skills and experience to help build ...

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

You will work closely with data scientists, software engineers, and product teams to build ... Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range ...

Agentic AI and Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

... engineers, data scientists, solutions architects, and product owners to deliver world-class ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Remote Work: No Job Number: R0240103 Location: Honolulu,HI,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Honolulu, HI · On-site +1

$113K - $135K/yr

Remote Work: No Job Number: R0244293 Location: Honolulu,HI,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

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Showing results 1-20

Remote Data Scientist information

See Hawaii salary details

$39K

$127.5K

$204.2K

How much do remote data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data scientist in Hawaii is $127,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $141,300.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Hawaii? The most popular types of Data Scientist jobs in Hawaii are:
What are popular job titles related to Remote Data Scientist jobs in Hawaii? For Remote Data Scientist jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Hawaii look for? The top searched job categories for Remote Data Scientist jobs in Hawaii are:
What cities in Hawaii are hiring for Remote Data Scientist jobs? Cities in Hawaii with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Hawaii as of August 2026, with employment types broken down into 53% Full Time, 27% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,520 per year, or $61.3 per hour.

Data Engineer

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site, Remote

$113K - $135K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0245942
Location:
Honolulu,HI,US
Share job via:
Share
Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
The DoD space is looking for individuals with exceptional software development, data engineering, or data science backgrounds who have done outstanding work utilizing tools such as Foundry, Spark, Python, Qlik, Tableau, and web development frameworks such as React. In short, we are seeking a "full-stack" data engineer who is passionate about building data applications from end to end. This includes data engineering back-ends to building interactive front-ends. For example, on of our offices is leading data analytics efforts of logistics data sets for the US Navy. Moreover, we strive to maintain the very best software and data development practices that our clients trust, we are hoping you pride yourself on writing production quality code and finding the story behind the data!
You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to put together the pieces of their information puzzle. You'll work side by side with teammates in classified environments and own the development of analytics systems. You'll use a variety of different tools and frameworks to turn sets of disparate data points into meaningful answers to advise our clients as they make informed decisions. Ultimately, you'll bring a deep understanding of data fundamentals to a competitive and challenging data environment to provide the best possible outcomes for our clients.
Join us. The world can't wait.
You Have:
  • 3+ years of experience in software development, data science, or data engineering based on impactful industry-oriented data science or full-stack development work
  • 2+ years of experience utilizing Python for data related work leveraging standard libraries such as NumPy, pandas, matplotlib, and PySpark
  • 1+ years of experience building visualization front ends in the form of analytics dashboards or interactive GUI applications such as web apps
  • 1+ years of experience with external customer facing communication regarding technical solutions to a non-technical audience including leadership
  • Experience to break down complex problems into technical solutions based on customer requirements independently
  • Experience with routinely following SDLC best practices
  • Ability to be detail oriented and proactive
  • Ability to articulate and anticipate development risks
  • Secret clearance
  • Bachelor's degree in a STEM field such as computer science, data science, mathematics, statistics, or engineering

Nice If You Have:
  • Experience with distributed data and computing tools such as Spark, MapReduce, or Hadoop
  • Experience working with cloud-based environments such as AWS
  • Experience with Generative AI techniques including LLMs
  • Experience with React and Angular frameworks
  • Experience with TypeScript
  • Experience working with DoD platforms such as War Data Platform, formerly ADVANA, or Palantir Foundry
  • Experience solving optimization problems from an operations research perspective such as linear programming, nonlinear programming, and constraint programming
  • Experience writing production-level code for maximal efficiency, speed and reliability
  • Experience working with high-ranking military personnel
  • Master's degree in a STEM field such as computer science, data science, mathematics, statistics, or engineering

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
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 interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914