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Junior Geospatial Data Scientist Jobs (NOW HIRING)

About The Role The Senior Geospatial Data Scientist sits within Theia's data science team, working on the models and pipelines that turn satellite imagery and vessel-tracking data into a verified ...

Essential Job Duties: * Assist in data acquisition, geospatial layer management, and quality ... Bachelor's degree in progress or completed in Geography, Geospatial Science, GIS, Remote Sensing ...

Essential Job Duties: * Assist in data acquisition, geospatial layer management, and quality ... Bachelor's degree in progress or completed in Geography, Geospatial Science, GIS, Remote Sensing ...

Junior Geospatial Developer

Chestertown, MD · On-site

$64K - $83K/yr

The position contributes to application development, automation workflows, and integration of data ... The Junior Geospatial Developer works under the guidance of senior engineering staff to ensure code ...

... geospatial scientific principles, tools, and analytical techniques, to be reflected throughout most of the relevant prior experience. * Demonstrated experience and proficiency with data science ...

... data by external Combat Support Agencies. * Use ArcGIS Enterprise software to provide support to ... Acceptable education shall consist of a bachelor's degree or higher in Geospatial Sciences or ...

Mentor junior geospatial professionals and provide technical guidance on GIS best practices, data ... Bachelor's Degree in Geomatics, Geospatial Sciences, Geographic Information Systems (GIS ...

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Education and Experience · Bachelor's degree in Geography, Geographic Information Systems, Geospatial Science, Data Science, Computer Science, Information Systems, or a related technical field is ...

Geospatial Data Analyst

Mclean, VA · On-site

$75K - $82K/yr

Education and Experience Bachelor's degree in Geography, Geographic Information Systems, Geospatial Science, Data Science, Computer Science, Information Systems, or a related technical field is ...

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Junior Geospatial Data Scientist information

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$37.5K

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How much do junior geospatial data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for junior geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Geospatial Data Scientist jobs?

The most popular types of Geospatial Data Scientist jobs are:

What are popular job titles related to Junior Geospatial Data Scientist jobs?

For Junior Geospatial Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Junior Geospatial Data Scientist job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Contract, and 3% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Geospatial Data Scientist/Geospatial AI/ML Scientist

Juno Beach, FL • On-site

VDart, Inc.
Software Development • 1 - 5K employees

Other

Posted 28 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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