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Remote Geospatial Data Scientist Jobs in Massachusetts

YO AI Labs

GIS/Geospatial Expert

Boston, MA · Remote

$80 - $100/hr

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

YO AI Labs

GIS/Geospatial Expert

Boston, MA · Remote

$80 - $100/hr

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

Dlapiper

Data Scientist

Boston, MA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Kemper

Data Scientist

Boston, MA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... We are looking for a Principal Data Scientist with deep, specialized expertise to lead our ...

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... We are looking for a Senior Data Scientist to advance our core AI models and drive them to market ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

YO AI Labs

GIS/geospatial Expert - Remote

Boston, MA · Remote

$80 - $100/hr

GIS / Geospatial Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical ...

YO AI Labs

GIS/geospatial Expert - Remote

Boston, MA · Remote

$80 - $100/hr

GIS / Geospatial Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Apply tools such as Codex, Claude Code, Claude Cowork, and Claude Science to real-world technical ...

Gradient AI

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... We are looking for a Staff Data Scientist to lead complex modelling and analytical projects of ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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All JobsGeospatial Data Scientist JobsRemote Geospatial Data Scientist JobsRemote Geospatial Data Scientist Jobs in Massachusetts

Remote Geospatial Data Scientist information

What is a remote geospatial data scientist?

A Remote Geospatial Data Scientist is a professional who analyzes and interprets spatial data, such as maps, satellite imagery, and GPS data, to solve problems or provide insights, all while working from a location outside of a traditional office. They use statistical, mathematical, and programming skills to process large geospatial datasets and often collaborate with teams virtually. Their work can support a variety of industries, including environmental monitoring, urban planning, and logistics, by providing actionable geographic insights. Remote geospatial data scientists commonly use tools like GIS software, Python, and machine learning frameworks. Communication and collaboration tools are also essential for effective remote work.

What are the key skills and qualifications needed to thrive as a remote geospatial data scientist?

To thrive as a Remote Geospatial Data Scientist, you need a strong background in spatial analysis, statistics, and programming, typically supported by a degree in geography, computer science, or a related field. Experience with GIS software (such as ArcGIS or QGIS), remote sensing tools, and programming languages like Python or R is essential, along with familiarity with cloud-based data platforms. Strong problem-solving, self-motivation, and effective communication skills are vital for collaborating remotely and turning complex geospatial data into actionable insights. These skills enable professionals to efficiently interpret and analyze spatial data, deliver valuable solutions, and work effectively within distributed teams.

How do remote geospatial data scientists typically collaborate with multidisciplinary teams across different time zones?

Remote Geospatial Data Scientists often work with professionals in fields like environmental science, urban planning, and software engineering, many of whom may be distributed globally. Effective collaboration relies on clear communication, regular virtual meetings, and the use of shared platforms for data, code, and project management. Flexible scheduling and asynchronous communication tools are key to coordinating across time zones, ensuring that all team members can contribute to project milestones efficiently. Building strong documentation and leveraging collaborative GIS and data platforms further help streamline workflows and maintain project momentum in a remote environment.

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

AspectRemote Geospatial Data ScientistRemote GIS Analyst
Required CredentialsBachelor's/Master's in GIS, Geography, Data Science; experience with spatial analysisBachelor's in GIS, Geography, or related field; proficiency in GIS software
Work EnvironmentData analysis, modeling, programming, and spatial data interpretationMapping, data management, spatial data visualization
Employer & Industry UsageTech companies, environmental agencies, urban planningGovernment agencies, utilities, environmental firms
Common Search & ComparisonFocuses on data science and modelingFocuses on mapping and spatial data management

The Remote Geospatial Data Scientist primarily works on advanced spatial data analysis, modeling, and programming to extract insights from geospatial data. In contrast, the Remote GIS Analyst focuses on mapping, data management, and spatial visualization. Both roles require GIS knowledge but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Geospatial Data Scientist jobs in Massachusetts?

The most popular types of Geospatial Data Scientist jobs in Massachusetts are:

What are popular job titles related to Remote Geospatial Data Scientist jobs in Massachusetts?

For Remote Geospatial Data Scientist jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Geospatial Data Scientist jobs in Massachusetts look for?

The top searched job categories for Remote Geospatial Data Scientist jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Geospatial Data Scientist jobs?

Cities in Massachusetts with the most Remote Geospatial Data Scientist job openings:

Remote Geospatial Data Scientist jobs near you
Infographic showing various Remote Geospatial Data Scientist job openings in Massachusetts as of August 2026, with employment types broken down into 72% Full Time, 13% Temporary, and 15% Contract. Highlights an 100% Remote job distribution.

GIS/Geospatial Expert

YO AI Labs

Boston, MA • Remote

$80 - $100/hr

Full-time

Posted 5 days ago

Job description

Job Title: GIS & Geospatial AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments.

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.

No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions.

Scope of Work
  • Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics.
  • Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.
  • Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools.
  • Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes.
  • Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes.
  • Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them.
  • Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate.
  • Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials.
  • Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment.
Required Skills
  • GIS / Geospatial Analysis
  • Remote Sensing
  • Spatial Analytics
  • Python
  • AI Coding Agents
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Written and Verbal Communication
  • Stakeholder Collaboration
Preferred Qualifications
  • Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline.
  • Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science, to solve technical problems.
  • Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects.
  • Ability to document complex technical workflows clearly for both technical and non-technical audiences.
  • Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes.
  • Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance.
  • Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms.
  • Current or recent professional engagement in a technical STEM or geospatial role.
  • Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement.
  • Ability to work independently in a remote environment while collaborating effectively with project stakeholders.