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Remote Geospatial Data Scientist Jobs in Colorado

Geospatial Platform Lead

Boulder, CO · On-site +1

$100K - $135K/yr

Data at scale: translate science outputs into reliable, versioned data products and interfaces for ... Qualifications The Geospatial Platform Lead selected should have the following: * Bachelor's or ...

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Product Data Scientist Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... At RESPEC, a GIS Consultant is a strong independent contributor in geospatial data management ...

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246464 Location: Aurora,CO,US Share job via: Share Computer Scientist ... Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ...

... remote team members based in Colorado and other locations. You will collaborate closely with ... Geospatial data quality assurance (QA) processes and review techniques. * Scripting concepts used ...

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Data Scientist to provide technical expertise in sustaining mission-critical software and systems.

TypeScript Developer

Boulder, CO · On-site +1

$80K - $110K/yr

... science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting ... Spatial data visualization: build interactive maps and views that make complex geospatial data ...

Position Overview Woolpert is hiring a Remote Sensing Technician to join our dynamic Geospatial Team. This position is responsiblefor sensor operation, data processing, and reporting for airborne ...

GIS Manager

Colorado Springs, CO · On-site +1

$82K - $111K/yr

... geospatial data. Evaluate and implement emerging GIS technologies, automation tools, and best ... Science, Computer Science, Natural Resources, or a related field. Minimum of 5 years of ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Contribute to institutional teaching, training activities, and educational programs related to bioinformatics, data science, computational biology, and biomedical research . Work Location: Remote ...

Showing results 21-40

Remote Geospatial Data Scientist information

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.

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 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.

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 most commonly searched types of Geospatial Data Scientist jobs in Colorado?

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

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

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

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

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

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

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

Infographic showing various Remote Geospatial Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 44% Full Time, 30% Part Time, and 26% Contract. Highlights an 100% Remote job distribution.

Geospatial Platform Lead

Lynker Corporation

Boulder, CO • On-site, Remote

$100K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Overview
Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Platform Lead to join our growing team.
Responsibilities
Duties of the Geospatial Platform Lead will include the following:
  • Platform architecture: own the architecture of the geospatial platform: cloud-native data (STAC, cloud-optimized formats), the serving and tiling layer (e.g., TiTiler), and the pipelines that scale model and map outputs.
  • Data at scale: translate science outputs into reliable, versioned data products and interfaces for applications, partners, and the public.
  • Standards & reliability: set engineering standards, including Infrastructure-as-Code on AWS; keep the platform reliable, secure, and interoperable; and own the roadmap for how it scales.
  • Cross-team alignment: share goals, schemas, and delivery patterns with the teams that produce our data and analytics so that products and platform interfaces line up.
  • Technical leadership: set technical direction for the cloud-native geospatial developers, coordinate across the Science, Applications, and Engineering teams, and mentor team members.
  • Delivery: keep the platform's data discoverable, reproducible, and operationally reliable for the applications, APIs, and partners that consume it.

Qualifications
The Geospatial Platform Lead selected should have the following:
  • Bachelor's or Master's in geospatial science, computer science, engineering, environmental or earth science, or a related field; or equivalent hands-on experience in place of a degree.
  • Several years building and operating cloud-native geospatial or data platforms (roughly 5+ years, or equivalent depth of experience).
  • Strong Python and production software practices, including Git, testing, and CI/CD.
  • Hands-on AWS experience (our primary cloud) and Infrastructure-as-Code (e.g., Terraform or CloudFormation).
  • Experience with cloud-native geospatial formats and serving (COG, GeoParquet, STAC/pgSTAC, TiTiler, or comparable).
  • A track record of setting technical direction and mentoring engineers.

The Ideal Geospatial Platform Lead will have the following:
  • Deep experience with the STAC ecosystem and dynamic tiling (pgSTAC, stac-fastapi, TiTiler).
  • Distributed or large-scale processing (e.g., Dask, cloud batch) and high-performance computing.
  • Background in hydrology, water resources, or environmental science.
  • Experience delivering operational, regularly updated scientific products and public-facing tools.
  • Experience owning a platform roadmap and engineering standards across multiple teams.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.