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Remote Data Scientist Jobs in Hawaii (NOW HIRING)

Data Operations Engineer Principal

Honolulu, HI ยท On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... Bachelor of Science degree in Computer Science, Mathematics, Electrical Engineering, Physics ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Machine Learning Engineer

Honolulu, HI ยท 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 ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Agentic AI and Data Engineer

Honolulu, HI ยท On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... 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 ยท On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ยท On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Foundry Data Engineer

Honolulu, HI ยท On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245813 Location: Honolulu,HI,US Share job via: Share Foundry Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Kafka Data Engineer

Honolulu, HI ยท On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241130 Location: Honolulu,HI,US Share job via: Share Kafka Data Engineer The Opportunity : Ever-expanding technology and collection methodologies means that there is ...

AI Software Engineer, Senior

Honolulu, HI ยท On-site +1

$121K - $159K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Working alongside data engineers, data scientists, solution architects, and product owners, you'll ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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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 14, 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 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,520 per year, or $61.3 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Honolulu, HI โ€ข Remote

$90 - $120/hr

Part-time

Posted 17 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.