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Remote Geospatial Data Scientist Jobs in Spring Hill, FL

Data Scientist

Tampa, FL ยท On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245472 Location: Tampa,FL,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Data Platform Engineer

Tampa, FL ยท On-site +1

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work closely with data scientists, analysts, and application engineers to understand their needs ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

Data Platform Engineer

Tampa, FL ยท Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work closely with data scientists, analysts, and application engineers to understand their needs ... and geospatial indexing for risk detection ** All Remote Hires - will be required to travel to ...

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL ยท On-site +1

$126K - $205K/yr

We are seeking a data science manager to assist us with developing and managing a large repository ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

Data Scientist (Mid-level) - Risk Modeling

Tampa, FL ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting ...

Data Scientist, Lead

Tampa, FL ยท On-site +1

$112K - $257K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245475 Location: Tampa,FL,US Share job via: Share Data Scientist, Lead The Opportunity: As a senior data scientist, you're excited at the prospect of unlocking the ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

Remote - Candidates must reside and work within the Eastern Time Zone Job Summary We are seeking an ... Required Qualifications * Bachelor's degree in Computer Science, Information Systems, Data ...

Decision Science Analyst (Mid-level)

Tampa, FL ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

Data Engineer (BI)

Tampa, FL ยท Remote

$108K - $129K/yr

This is a remote position with occasional travel. Preference given to East Coast candidates. Key ... Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree ...

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Showing results 1-20

Remote Geospatial Data Scientist information

See Spring Hill, FL salary details

$31.8K

$104.1K

$166.7K

How much do remote geospatial data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote geospatial data scientist in Spring Hill, FL is $104,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $115,400.00 per year, depending on experience, location, and employer.

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 cities near Spring Hill, FL are hiring for Remote Geospatial Data Scientist jobs?

Cities near Spring Hill, FL with the most Remote Geospatial Data Scientist job openings:

Topobathymetric Lidar Geospatial Analyst II

GeoSearch

Tampa, FL โ€ข Remote

Full-time

Posted 22 days ago


Job description

Topobathymetric Lidar Geospatial Analyst II


Job Description

Geospatial Analyst III in Fairfax, VA or Tampa, FL. Remote positions will be considered dependent on experience. This is an excellent career opportunity for an individual to join a team of professionals while working in a multidisciplinary consulting and engineering firm. The firm succeeds through the individual and collaborative skills of its people therefore, we offer opportunities for professional growth while working with and applying the latest technology. Typical responsibilities are to work on GIS/IT and Remote Sensing-related projects for state and federal clients across the US. Overall responsibility includes working on a team performing automated and manual processing of point cloud data.


Responsibilities

Position requires experience in analysis and review of topographic lidar data, topobathymetric data, vector data (2D and 3D), Digital Elevation Models (DEMs), Digital Surface Models (DSMs), imagery, and derivative products for state, federal, and private clients across the US. Experience with creating automated lidar classification algorithms (TerraSolid Products) preferred. Strong candidates will also have a good, conceptual understanding of fundamental remote sensing concepts and geospatial processes for various products, e.g. how lidar sensors work, basic GPS ground survey procedures, airborne lidar trajectory processing, interaction of light and water for bathymetry applications, and ortho-imagery processing.

  • Working with the initial processing and data classification of multiple topographic and bathymetric lidar projects.
  • Creating Scripts/Models/Macros in multiple sensor platforms
  • Work with the Product Line Lead to assist in the execution of projects, on time and within budget.
  • Data Management and Handling: Planning and monitoring production data, management needs and working with IT and Operations to ensure adequate resources are available; Ensuring data management protocols are met including the use of proper files and formats as well as file locations, storage, and backups.
  • Perform work that appropriately follows all quality control steps and practices are implemented throughout processes to ensure deliverables meet client specifications. 
  • Provide feedback and support for developing and/or updating SOPs as necessary.
  • Works with production staff to support process improvements; working with other Technology/Process Improvement teams to review best practices to enhance product line, gain efficiencies, and improve quality.
  • Support improvements to automation of the production and QC process through providing technical guidance and ideas 
  • Task Management; Problem resolution; Report writing; Collaboration
  • Quality Assurance, documentation and providing feedback.


Required Skills and Experience

  • Bachelor's degree in Geography, GIS, or related field.
  • 3+ years of experience in the GIS/Remote Sensing Field or equivalent combination of education and experience with a focus on point cloud classification working with Lidar and producing other Elevation data sources.
  • Experience in Lidar processing and elevation model creation/manipulation, hydrography, or other remote sensing processing, development, and QA/QC.
  • An understanding of GIS and Lidar data and concepts including a strong knowledge of various raster and vector data types, coordinate systems, projections, and datums
  • Understanding of Lidar production workflow and being able to explain the conceptual basis of Lidar acquisition, processing, and deliverable creation
  • The ability to analyze point clouds and various geospatial data layers derived from point cloud data.
  • Working experience with Terrasolid Products and MicroStation
  • In-depth knowledge of ESRI’s products including ArcGIS 10x, ArcPro.
  • Proficiency in basic computer applications, especially MS Office (Word, Excel, and Access).
  • Ability to handle multiple priorities under tight schedules as required
  • Strong verbal and written communication skills.


Beneficial Skills & Experience

  • Creative problem-solving skills.
  • GISP Certification, ASPRS certifications in Lidar or other Remote Sensing technologies a plus
  • LASTools, LP360, Global Mapper, QGIS experience a plus.
  • Working knowledge of Python and/or other programming languages a plus.
  • GDAL Tools, and command line applications highly desirable
  • ArcGIS Data Review and Production Editing experience a plus.
  • Specific experience working with Riegl topobathymetric sensors and Optech CZMIL topobathymetric sensors.
  • Experience creating scripts/models/macros in multiple GIS/remote sensing platforms
  • Experience with national elevation programs, such as NOAA’s Coastal Mapping Program, USGS 3DEP, and/or USGS 3DHP
  • Experience with industry standards and specifications, e.g., ASPRS Positional accuracy Standards for Digital Geospatial Data, USGS Lidar Base Specifications


Additional Requirements:

  • US Citizen
  • Must have a valid driver’s license, good driving record and ability to pass a driving record background check.