ZipRecruiter

Log In

1

Geospatial Data Scientist Jobs in Silver Spring, MD

GRVTY

Geospatial Data Scientist

Mclean, VA

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

GRVTY

Geospatial Data Scientist

Mclean, VA

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

Maxar

Geospatial Data Scientist

Mclean, VA · On-site

$113K - $188K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. * Identify corollary datasets to compare against model outputs, especially those ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. Responsibilities * Identify corollary datasets to compare against model outputs ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. Responsibilities * Identify corollary datasets to compare against model outputs ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote. Responsibilities * Identify corollary datasets to compare against model outputs ...

next page

Showing results 1-20

All JobsGeospatial Data Scientist JobsGeospatial Data Scientist Jobs in Silver Spring, MD

Geospatial Data Scientist information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

How much do geospatial data scientist jobs pay per year?

As of Jun 20, 2026, the average yearly pay for geospatial data scientist in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 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 popular job titles related to Geospatial Data Scientist jobs in Silver Spring, MD? For Geospatial Data Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Silver Spring, MD look for? The top searched job categories for Geospatial Data Scientist jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Geospatial Data Scientist jobs? Cities near Silver Spring, MD with the most Geospatial Data Scientist job openings:
Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Silver Spring, MD as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.

Geospatial Data Scientist

GRVTY

Mclean, VA

Other

Posted 8 days ago

Job description

What Impact You'll Have:

Our team integrates hundreds of data sources into a Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and dataset is widely-recognized as the leading platform for geospatial analysis, touching nearly every type of mission. Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources are constantly being added. The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize. Customer leadership also helps drive innovation and has created a close, collaborative idea exchange between staffers and contractors. Our Team Lead has said "this is simply the best group of people I've worked with". Despite this platform being widely used, there is a huge amount of brand new work adding new capabilities and data sources, as well as migrating more and more of the subsystems to AWS. There are recurring opportunities on this team for Analytic / BigData Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. Work on this program takes place in the McLean, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable by this customer). THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences. In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance.

What You'll Be Owning:

GRVTY is seeking a Geospatial Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Mclean, VA

What You Must Have:

  • Active TS/SCI with Polygraph Clearance
  • Minimum 3 years of experience with a Bachelor's degree or 1 year of experience with a Master's degree
  • Python experience to automate data transformation and analysis of geospatial datasets
  • Experience working with PostgreSQL to extract data from RDBMS
  • Experience with AWS tools Linux experience
  • Experience with API Connections
  • Comfortable working with all types of geospatial datasets in thick client applications (e.g. ArcGIS) 

What Would Be Nice to Have:

  • Experience working with R, Tableau
  • Experience working with NiFi

#LI-BPJ

Apply