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Geospatial Data Scientist Jobs in Raleigh, NC (NOW HIRING)

The position will initially focus on data editing, quality assurance, established workflow ... Bachelor's degree in GIS, geography, forestry, natural resources, environmental science, civil ...

The position will initially focus on data editing, quality assurance, established workflow ... Bachelor's degree in GIS, geography, forestry, natural resources, environmental science, civil ...

Collect, analyze, and interpret environmental, biological, and geospatial data * Prepare technical ... Bachelor's degree in Environmental Science, Biology, Ecology, Natural Resources, or a related field

The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ... geospatial techniques, and visualization. The department is the service owner for the Dataspace in ...

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Geospatial Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do geospatial data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for geospatial data scientist in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

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

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are popular job titles related to Geospatial Data Scientist jobs in Raleigh, NC?

For Geospatial Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Raleigh, NC look for?

The top searched job categories for Geospatial Data Scientist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Geospatial Data Scientist jobs?

Cities near Raleigh, NC with the most Geospatial Data Scientist job openings:

Infographic showing various Geospatial Data Scientist job openings in Raleigh, NC as of September 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.

Geospatial Analyst I

Raleigh, NC • Hybrid

Enviva
Clean Energy Semiconductors Manufacturing • 1 - 5K employees

Full-time

Posted 4 days ago


Enviva rating

7.1

Company rating: 7.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Introduction

The Enviva team is driven by our shared vision for a renewable energy future. We are a fast-growing, purpose-driven, global energy company specializing in delivering sustainable wood bioenergy solutions. We are the world's largest producer of sustainable wood pellets, providing biogenic carbon solutions for power and heat generation, industrial processes, chemicals, and advanced biofuels worldwide.

Job Purpose

Enviva seeks a motivated and detail-oriented Geospatial Analyst I to join its Sustainability team. Reporting to the Lead Geospatial Specialist, this role will support the accuracy, consistency, and reliability of geospatial data used in forestry operations, supplier traceability, sustainability reporting, and field-to-office workflows.

The position will initially focus on data editing, quality assurance, established workflow execution, and operational GIS support. The successful candidate will be expected to identify recurring data problems, recognize opportunities to replace manual efforts with automation, and suggest practical workflow improvements.

This is an early-career position for someone with a strong GIS foundation who wants to develop their experience in geospatial data management, automation, remote-sensing outputs, and interactive reporting in a fast-moving, innovative department.

Responsibilities

  • Review geospatial and tabular data for completeness, accuracy, consistency, and adherence to established standards.
  • Identify, document, and communicate geometry, attribute, identifier, relationship, attachment, and data-model issues via spatial hosted feature services. This will commence with data corrections for review, progressing into assumed responsibility for data quality assurance.
  • Understand, run, and examine results of established geoprocessing tools, scripts, SQL queries, data updates, and QA/QC checks.
  • Maintain authoritative tract, stand, supplier, and related operational datasets.
  • Investigate GIS application and workflow issues, with ability to distinguish incorrect source data, user error, and system flaws.
  • Provide first-line support for Field Maps and other operational GIS applications, escalating issues when appropriate.
  • Support supplier-data intake, standardization, validation, and loading into established GIS datasets.
  • Work with the Sustainability Analyst and operational teams to document, assign, track, and resolve identified data issues.
  • Support development and maintenance of geospatial error-flagging system for managing discrepancies, corrections, and recurring data-quality trends.
  • Support changes to field-to-office workflows and help implement attribute rules, validation processes, and data-enrichment methods.
  • Produce standalone maps and GIS data deliverables upon request.
  • Identify repetitive manual processes and recommend opportunities for improved efficiency, consistency, or automation.
  • Document workflows, processing decisions, identified issues, and completed corrections.

Required Qualifications

  • Bachelor's degree in GIS, geography, forestry, natural resources, environmental science, civil engineering, information systems, or a related field; equivalent relevant experience may be considered.
  • Two to four years of relevant GIS experience.
  • Ability to independently edit data, run geoprocessing tools, perform basic spatial analysis, and produce maps in ArcGIS Pro.
  • Understanding of feature classes, tables, joins, relates, coordinate systems, coordinate geometry, and common geospatial data formats.
  • Strong attention to detail and the ability to identify inconsistencies in spatial and tabular data.
  • Ability to investigate routine GIS problems, document findings, and seek guidance when needed.
  • Strong organizational, communication, and collaboration skills

Preferred Qualifications - What Will Set Them Apart

  • Experience in forestry, natural resources, utilities, civil engineering, conservation, or other field involving real-world spatial data.
  • Familiarity with forest-material operations, mobile data collection, or field-to-office workflows.
  • Experience with ArcGIS Online, hosted feature layers, web maps, Field Maps, GNSS survey equipment, photogrammetry, Survey123, or Dashboards.
  • Experience with SQL, ETL processes, schema mapping, or data validation.
  • Exposure to Python or another scripting language.
  • Familiarity with imagery, remote sensing, parcel data, or environmental datasets.

Working Conditions

This role follows a hybrid schedule. Four days of in-office work per week will be expected during the initial onboarding and integration period, transitioning to a hybrid schedule of 2-3 days in-office per week once sufficiently integrated into the role.

Physical Requirements

  • Primarily computer-based work requiring extended periods of sitting and/or standing at a computer and typing.
  • May also include standing, walking, carrying, or lifting (up to 50 lbs.) in support of team tasks.

Travel Requirements

  • 10% or less

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