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

CIVIL DESIGNER

Cary, NC · On-site

$69K - $107K/yr

Analyzes survey data, aerial imagery, and engineering drawings to support project design ... Geography/Geospatial (GIS), Computer Science, or a related field, AND a minimum of 3 years of ...

CIVIL DESIGNER

Cary, NC · On-site

$69K - $107K/yr

Analyzes survey data, aerial imagery, and engineering drawings to support project design ... Geography/Geospatial (GIS), Computer Science, or a related field, AND a minimum of 3 years of ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Determine most efficient plan of action for data acquisition, beginning with the primary control ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Determine most efficient plan of action for data acquisition, beginning with the primary control ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Determine most efficient plan of action for data acquisition, beginning with the primary control ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Determine most efficient plan of action for data acquisition, beginning with the primary control ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Determine most efficient plan of action for data acquisition, beginning with the primary control ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... Determine most efficient plan of action for data acquisition, beginning with the primary control ...

Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With ... The archaeologist will conduct research, field surveys, and data recovery initiatives to assist in ...

Senior Civil Project Engineer

Raleigh, NC · On-site

$87K - $113K/yr

Monitors construction and supervises field personnel assigned to a task, data collection or a ... Must have a bachelors or masters degree in engineering, or a scientific area and/or equivalent work ...

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Geospatial Data Scientist information

See Raleigh, NC salary details

$36.4K

$119.2K

$190.8K

How much do geospatial data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for geospatial data scientist in Raleigh, NC is $119,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,100.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance later in life by acquiring relevant skills such as programming, GIS tools, and statistical analysis. Age is generally not a barrier if you develop the necessary technical expertise and stay current with industry tools.

What are the typical daily tasks of a Geospatial Data Scientist?

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 in the Geospatial Data Scientist position, and why are they important?

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.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing use of geographic information systems in sectors like urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and data visualization are valuable, and the field is expected to grow as organizations rely more on location-based data for decision-making.

What is the highest paying GIS job?

The highest paying GIS-related roles are often senior positions such as GIS Manager, Geospatial Data Scientist, or GIS Director, with salaries exceeding $100,000 annually depending on experience, industry, and location. Specialized skills in programming, data analysis, and proficiency with tools like ArcGIS or QGIS can also contribute to higher compensation.

What is a Geospatial Data Scientist job?

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?

A geospatial data scientist analyzes spatial data to identify patterns, trends, and insights related to geographic locations. They use tools like GIS software, programming languages such as Python or R, and spatial databases to process and visualize data for decision-making in fields like urban planning, environmental management, and transportation.
What are the most commonly searched types of Geospatial Data Scientist jobs in Raleigh, NC? The most popular types of Geospatial Data Scientist jobs in Raleigh, NC are:
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $119,181 per year, or $57.3 per hour.
Research Environmental Engineer - Hydrology and Flood Risk

Research Environmental Engineer - Hydrology and Flood Risk

RTI International

Durham, NC • On-site, Remote

$76K - $104K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 11 days ago


Job description

Why RTI

RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with technical and science-based solutions in pursuit of a better future. Clients rely on us to answer questions that demand an objective and multidisciplinary approach—one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the world’s most challenging problems.
We believe in the promise of science and technical solutions, and we push ourselves every day to deliver on that promise for the good of people, communities, and businesses in the US and around the world. If you are looking for the opportunity to make a real difference, RTI is the place for you.


About the Hiring Group

Are you passionate about water resources and environmental science? RTI’s Water, Agriculture, Natural Resources, and Energy Solutions (WARES) Group is seeking a motivated Research Environmental Engineer to join our hydrology and flood risk team. We develop innovative tools and analytical methods that support hydropower owners, dam safety programs, and the broader water resources community.

Our team is recognized for expertise in precipitation frequency analysis, probable flood hazard assessments (PFHA), and downstream consequence analysis. As a nonprofit research institute, RTI also supports internal R&D to drive innovation and create real-world impact.

As part of the team, you will contribute to a broad range of water resources modeling projects. Candidates should be able to demonstrate experience or exposure in several of the areas listed below (not all are required).

Why Join Us?

  • Work on impactful domestic and international water resources projects.
  • Apply state-of-the-art computational tools to complex water management challenges.
  • Help advance modeling technologies and analytical methods.
  • Collaborate with leading experts in a supportive, multidisciplinary environment.

This position can be either based in RTI’s U.S. office in Research Triangle Park, NC, or it can be fully remote. Teleworking is permitted within the United States only. 


What You'll Do

You will support hydrologic, hydraulic, and reservoir modeling projects, including data analysis, model setup, calibration, and interpretation of results. Our staff work with multiple modeling platforms and develop tools that support a range of water management decisions for our clients.

Essential Duties:

  • Collaborate with the WARES team to implement and enhance RTI’s water resources modeling tools.
  • Collect, analyze, and summarize technical and hydrologic data.
  • Develop and calibrate hydrologic, hydraulic, and river basin simulation models.
  • Design and develop spreadsheets, scripts, and databases to manage data and improve workflow efficiency.
  • Develop models to simulate large-scale water system operations and stochastic hydrologic modeling.
  • Perform data processing, quality control, and automation using scripts and tools.
  • Lead small projects or task orders of moderate complexity.
  • Contribute to proposal development and sections of larger proposals.
  • Share work internally and externally through presentations and conference papers.
  • Make informed decisions based on data, best practices, and team input.
  • Support business development by identifying opportunities to expand or enhance existing projects and developing research ideas or white papers.

What You'll Need

Minimum Education & Experience:

  • Bachelor’s degree at least 5 years of experience; or
  • Master’s degree at least 3 years of experience; or
  • PhD + 0 years of experience; or
  • Equivalent combination of education and experience.

Minimum Required Qualifications:

  • Experience in the following areas:
    • Hydrologic watershed modeling (both continuous and event modeling).
    • Reservoir routing.
    • Demonstrated ability to calibrate hydrologic models and evaluate model performance.
    • Statistical analysis of hydrometeorological time series.
    • Collection, QA/QC, and interpretation of hydrologic data.
    • Technical documentation and report writing.
    • Experience working with hydrologic and meteorological GIS datasets.
    • Proficiency with open-source programming languages (Python, R, C#, VB.NET) for data management, transformation, QC, and statistical analysis.
    • Basic geospatial processing and mapping using ArcGIS or QGIS.
    • Proficiency with Microsoft Excel and familiarity with relational databases (SQL).
  • To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status(e.g., H-1B visa status, etc.). 

Preferred Qualifications:

  • Experience with hydrologic modeling tools such as HEC-HMS, SAC-SMA, or SEFM.
  • Experience with snowmelt routines such as the UBC model and Snow-17.
  • Familiarity with probabilistic or stochastic modeling concepts.

EEO & Pay Equity Statements

For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.

RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.


At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.


Equal Pay Act Minimum/Range
$89,000 - $109,000Qualifications:

Minimum Education & Experience:

  • Bachelor’s degree at least 5 years of experience; or
  • Master’s degree at least 3 years of experience; or
  • PhD + 0 years of experience; or
  • Equivalent combination of education and experience.

Minimum Required Qualifications:

  • Experience in the following areas:
    • Hydrologic watershed modeling (both continuous and event modeling).
    • Reservoir routing.
    • Demonstrated ability to calibrate hydrologic models and evaluate model performance.
    • Statistical analysis of hydrometeorological time series.
    • Collection, QA/QC, and interpretation of hydrologic data.
    • Technical documentation and report writing.
    • Experience working with hydrologic and meteorological GIS datasets.
    • Proficiency with open-source programming languages (Python, R, C#, VB.NET) for data management, transformation, QC, and statistical analysis.
    • Basic geospatial processing and mapping using ArcGIS or QGIS.
    • Proficiency with Microsoft Excel and familiarity with relational databases (SQL).
  • To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status(e.g., H-1B visa status, etc.). 

Preferred Qualifications:

  • Experience with hydrologic modeling tools such as HEC-HMS, SAC-SMA, or SEFM.
  • Experience with snowmelt routines such as the UBC model and Snow-17.
  • Familiarity with probabilistic or stochastic modeling concepts.
Education:UNAVAILABLEEmployment Type: FULL_TIME