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Geospatial Data Scientist Jobs in Silver Spring, MD

Darkhorse Geospatial LLC

Data Scientist

Falls Church, VA · On-site

$120 - $180/hr

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines ...

Whitespace

Data Scientist

Alexandria, VA · Remote

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT.

Wiser

Data Scientist (Mid) - TS/SCI

Springfield, VA · On-site

$85K - $120K/yr

Data Scientist - TS/SCI Cleared Location: Springfield, VA Required Clearance: Top Secret/SCI ... Knowledgeable of geospatial data management including data type conversion; coordinate systems ...

Wiser

Data Scientist (Mid) - TS/SCI

Springfield, VA · On-site

$85K - $120K/yr

Data Scientist - TS/SCI ClearedLocation: Springfield, VA Required Clearance: Top Secret/SCI ... Knowledgeable of geospatial data management including data type conversion; coordinate systems ...

CACI

Data Scientist - Mid

Springfield, VA · On-site

$69K - $141K/yr

Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). Join a collaborative team turning large, complex geospatial datasets into insights ...

CACI

Data Scientist - Mid

Sterling, VA

$69K - $141K/yr

Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). Join a collaborative team turning large, complex geospatial datasets into insights ...

CACI

Senior Data Scientist

Springfield, VA · On-site

$82K - $172K/yr

Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage. Collaborate directly with analysts and mission users to shape analytic ...

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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 Sep 4, 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.

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 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,127 per year, or $61.1 per hour.

Data Scientist

Darkhorse Geospatial LLC

Falls Church, VA • On-site

$120 - $180/hr

Other

Posted 28 days ago

Job description

Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines that answer hard questions — extracting, transforming, and modeling data from a wide range of sources, then communicating findings through clear visualizations, dashboards, and briefings. You'll work shoulder-to-shoulder with engineers, analysts, and operators to deliver tools that get used.

What You'll Do
  • Extract, transform, and load data from diverse systems using Python and SQL
  • Build and maintain data pipelines and ETL workflows for analytics and AI/ML
  • Develop, evaluate, and deploy AI/ML models — including large language models — to address mission needs
  • Conduct statistical, mathematical, geospatial, and data-mining analysis
  • Design dashboards, visualizations, and infographics (Tableau, Tableau Prep) that make complex data actionable
  • Package models as reliable services and operator-focused dashboards (MLOps)
  • Build schemas and data models; query relational, graph, and search databases
  • Consult with customers to clarify analytic requirements and recommend data-driven solutions
  • Brief technical and non-technical audiences; produce reports, decks, and user documentation
Core Skills We're Looking For
  • Strong proficiency in Python and SQL
  • Hands-on experience with data pipelines, ETL, and large/heterogeneous datasets
  • Applied AI/ML experience — model training, evaluation, and integration of pre-trained models (PyTorch, TensorFlow, scikit-learn)
  • Cloud compute environments (AWS preferred — EC2, S3, Lambda)
  • Data visualization with Tableau (or equivalent) and dashboard design
  • Statistical analysis, data modeling, and algorithm fundamentals
  • Clear written and oral communication with technical and non-technical audiences
Nice to Have
  • Containerization and MLOps (Docker, Kubernetes, model serving)
  • Graph databases and query languages (Neo4j, Cypher)
  • App frameworks for analytic UIs (Flask, Gradio, Streamlit)
  • Geospatial analysis and GIS tooling
  • Elastic / Kibana, Elastic Data Analyst certification
  • Experience working in a cloud or data lake environment
  • Familiarity with JIRA and Agile delivery
Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience)
  • Active TS/SCI with Full Scope Poly
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