Description

Geospatial Information Scientists and Technologists research and develop methods to collect, analyze, interpret, and present geographic or spatial information. They work with GIS software and tools to create maps, graphs, and other visual representations of geographic data.

Day-to-Day Responsibilities

Collecting and analyzing spatial data, developing mapping applications, maintaining GIS software and databases, collaborating with other scientists and stakeholders, and presenting findings in reports or presentations.

Work Environment

Typically work in offices, but may also travel to field sites to collect data. They often work full time and may have to work extra hours to meet project deadlines.

Necessary Education Level

Minimum of a bachelor's degree in geography, geosciences, or a related field; a master's degree is recommended for advanced positions.

Relevant Majors or Courses

Geographic Information Systems (GIS), cartography, remote sensing, computer science, statistics, and environmental science.

Certifications and Licenses

Certifications such as GISP (Certified GIS Professional) can be beneficial.

Hard Skills

Proficiency in GIS software, data analysis, programming languages like Python or R, and statistical analysis.

Soft Skills

Analytical thinking, problem-solving, attention to detail, communication, and teamwork.

Technological Proficiency

Expertise in using GIS software such as ArcGIS, QGIS, and remote sensing tools.

Entry-Level Opportunities

Positions like GIS Technician or Analyst are common starting points.

Mid-Career Roles

Roles such as GIS Developer, Geospatial Analyst, or Project Manager.

Advanced Positions

Senior roles like Geospatial Information Scientist, GIS Consultant, or Director of Geospatial Services.

10th Percentile Pay

$48,000

50th Percentile Pay

$74,000

90th Percentile Pay

$112,000

Salary Ranges

Starting salaries around $48,000, median salaries around $74,000, and top salaries can exceed $112,000 depending on region and experience.

Employment Growth Forecast

Projected to grow at 7% from 2020 to 2030, about as fast as the average for all occupations.

Demand Factors

Increasing need for spatial data in various sectors like urban planning, environmental conservation, and emergency management drives demand.

Advantages

High demand in diverse industries, opportunities for innovation, and the ability to contribute to societal development and environmental management.

Challenges

Requires continual learning due to fast-paced technological advancements, potential for high stress during project deadlines.

Emerging Trends

Increased use of AI and machine learning in spatial data analysis, growing importance of real-time data collection and processing.

Impact of Technology

Technological advancements are significantly enhancing the accuracy and efficiency of geospatial analyses, expanding the scope of applications.

Associations

American Association of Geographers (AAG), Urban and Regional Information Systems Association (URISA).

Networking Opportunities

Annual conferences like the Esri User Conference, URISA GIS-Pro, and various regional GIS symposiums.

Continuing Education

Workshops and courses offered by GIS Certification Institute, online platforms like Coursera, and university continuing education programs.