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Remote Geospatial Data Scientist Jobs in Colorado

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site +1

$80K - $110K/yr

Data storage & management: design and maintain storage for large raster and vector datasets ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

RES

Geospatial Technician

Denver, CO · On-site +1

$24.05 - $30.06/hr

Collects additional field data, including surveyed ground points. * Processes and analyzes ... Bachelor's degree in UAV/Drone Science, Remote Sensing, Geographic Information Systems ...

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0246466 Location: Aurora,CO,US Share job via: Share Data Scientist, Lead The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

New

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246471 Location: Aurora,CO,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

New

Booz Allen Hamilton, Inc.

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246390 Location: Aurora,CO,US Share job via: Share Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246468 Location: Aurora,CO,US Share job via: Share Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246534 Location: Aurora,CO,US Share job via: Share Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

New

Merrick & Company

GIS Analyst

Greenwood Village, CO · On-site +1

We are open to both hybrid or remote. The ideal candidate is motivated by challenging projects and ... Spatial analysis, geoprocessing, and data QA/QC * Cartographic design and geospatial data ...

In Tandem

Product Data Scientist

Denver, CO · Remote

$140K/yr

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

Lynker Corporation

Senior Wetlands Scientist

Boulder, CO · On-site +1

$90K - $130K/yr

... science, remote sensing, and cloud-native geospatial computing to produce defensible wetland ... Data integration: integrate LiDAR-derived elevation, hydrology, imagery, soils, and existing ...

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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:

Remote Geospatial Data Scientist jobs near you
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 Scientist

Lynker Corporation

Boulder, CO • On-site, Remote

$80K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 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 Scientist to join our growing team.
Responsibilities
Duties of the Geospatial Scientist will include the following:
  • DEM acquisition: national and regional digital elevation models from public and partner sources; track provenance, versions, licensing, and coverage.
  • Processing & cleaning: clean, mosaic, reproject, resample, and condition DEMs (void filling, hydro-enforcement, sink handling) to produce analysis-ready terrain surfaces.
  • Data storage & management: design and maintain storage for large raster and vector datasets, including tiling, cloud-optimized formats (COG), and efficient access patterns for downstream modeling.
  • Code quality & validation: contribute to and validate our geospatial processing tools, much of it written in Rust, writing thorough unit tests and numerical validation of derived terrain products to keep results correct and numerically stable.
  • Vector QA/QC: perform quality assurance and quality control on vector hydrography and derived features (topology, geometry validity, attribute completeness, alignment against reference data).
  • Automation & reproducibility: design reproducible terrain-processing pipelines that can regenerate products consistently as source data evolve.
  • Documentation & collaboration: document methods, data sources, and QA results; collaborate across the Science, Modeling, and Platform teams to keep terrain and hydrography products fit for purpose.

Qualifications
The Geospatial Scientist selected should have the following:
  • Master's in geospatial science, geography, engineering, earth science, computer science, or a related field; or a Bachelor's plus 2 years of relevant experience; or equivalent hands-on experience with DEMs, raster/vector geospatial data, or hydrologic/terrain datasets.
  • Proficiency in Python for geospatial data processing and automation.
  • Experience with Rust, or the demonstrated ability and interest to work within a Rust codebase; our core geospatial processing tooling is written in Rust, and you will help write and maintain its unit tests and validation suites.
  • Experience with GIS and geospatial tooling (e.g., ArcGIS, QGIS, GDAL, PDAL) and standard raster/vector formats.
  • Strong grasp of coordinate reference systems, reprojection, and geospatial data QA/QC practices.
  • Comfort with Git, Linux, and command-line workflows.

The Ideal Geospatial Scientist will have the following:
  • Experience with hydrologic terrain conditioning (hydro-enforcement, flow direction/accumulation, watershed delineation) and hydrography datasets.
  • Familiarity with cloud-optimized geospatial formats (COG, GeoParquet) and large-scale tiled data pipelines.
  • Exposure to hydrologic or flood-inundation modeling (e.g., DEM-driven simulation, flood inundation mapping).
  • Experience with SQL and spatial databases (e.g., PostGIS).
  • Track record of scientific writing, presentation, or open-source contribution.
  • 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.

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