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Geospatial Data Science Analyst Jobs (NOW HIRING)

B&A

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Description Geospatial Data Analyst At B&A, we foster and embrace a distinct set of values that we ... Science, Data Science, Computer Science, Information Systems, or a related technical field is ...

Bart & Associates

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

... Science, Information Systems, or a related technical field is required. · 2-5 years of ... geospatial data analysis, GIS operations, data integration, or related technical work. Required ...

BAE Systems

Geospatial Data Engineer

Fort Eisenhower, GA · On-site

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to ... OR BA/BS degree in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 ...

BAE Systems

Geospatial Data Engineer

Augusta, GA · On-site

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to ... OR BA/BS degree in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 ...

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BAE Systems

Geospatial Data Engineer

Augusta, GA · On-site

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to ... OR BA/BS degree in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 ...

New

BAE Systems

Geospatial Data Engineer

Augusta, GA

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to ... OR BA/BS degree in Data Science, Data Analytics, Informatics, Statistics, or related field AND 10 ...

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Geospatial Data Science Analyst information

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How much do geospatial data science analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for geospatial data science analyst in the United States is $77,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Geospatial Data Science Analyst jobs?

For Geospatial Data Science Analyst jobs, the most frequently searched job titles are:

Infographic showing various Geospatial Data Science Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,494 per year, or $37.3 per hour.

Senior Geospatial Data Scientist/Geospatial AI/ML Scientist

Juno Beach, FL • On-site

VDart, Inc.
Software Development • 1 - 5K employees
Learn more about VDart, Inc.external

Other

Posted 23 days ago

Job description

The Senior Data Scientist Geospatial is a technical leader responsible for designing, developing, and delivering advanced data science, spatial analytics, and machine learning solutions using geospatial data. This role leads complex analytics initiatives, develops scalable analytical applications and spatial data products, establishes technical standards, and mentors junior data scientists and technical team members.

The position partners closely with GIS teams, business stakeholders, and technology leaders to translate complex geospatial and business challenges into scalable, production-ready solutions that deliver measurable business impact.

Key Responsibilities
  • Lead end-to-end data science and geospatial analytics initiatives, from problem definition and data exploration through model development, deployment, and monitoring.
  • Design and develop predictive, prescriptive, and spatial analytics models using large-scale geospatial and enterprise datasets.
  • Architect and deliver scalable GIS tools, analytical applications, spatial data products, and reusable geoprocessing capabilities.
  • Establish technical standards, development frameworks, coding practices, and architectural patterns for enterprise geospatial solutions.
  • Design and oversee spatial data pipelines, APIs, automation workflows, and geoprocessing frameworks.
  • Develop production-grade analytical tools and applications using Python and modern data science technologies.
  • Integrate GIS capabilities with cloud platforms, enterprise data systems, APIs, and AI/ML services.
  • Engineer and optimize features, analytical workflows, and machine learning models for performance, scalability, and reliability.
  • Implement model validation, testing, monitoring, and governance frameworks.
  • Develop automated spatial analysis workflows and reusable geoprocessing components.
  • Collaborate with GIS professionals, data engineers, software engineers, and business leaders to deliver enterprise-level solutions.
  • Translate complex analytical and geospatial findings into clear, actionable recommendations for technical and non-technical stakeholders.
  • Provide technical leadership and mentorship to junior and mid-level data scientists.
  • Evaluate emerging GIS, AI, ML, and data science technologies and recommend solutions aligned with business objectives.
  • Apply strong business acumen and independent problem-solving skills to address complex analytical challenges.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Geography, GIS, Engineering, or another quantitative discipline; advanced degree preferred.
  • 6 10 years of professional experience in data science, analytics, machine learning, or a closely related field.
  • 6 8+ years of relevant experience for senior-level geospatial data science responsibilities.
  • Strong recent experience applying data science techniques to GIS/geospatial problems, preferably within the last 4 years.
  • Strong proficiency in Python or R, with demonstrated experience developing production-ready analytical workflows.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Strong knowledge of statistical inference, machine learning, experimentation design, and predictive modeling.
  • Hands-on experience developing and deploying production-grade models, analytical applications, or data products.
  • Extensive experience with spatial analytics and geospatial data at scale.
  • Strong experience developing enterprise-grade GIS tools, applications, pipelines, and automation workflows.
  • Demonstrated ability to independently lead complex technical initiatives from concept through production.
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About V Dart

Sourced by ZipRecruiter

Industry

Software development, internet and it and professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Alpharetta, GA, US

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