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Geospatial Data Science Jobs in Georgia (NOW HIRING)

SOSi

Geospatial Analyst Expert

Augusta, GA · On-site

The role involves providing advanced geospatial analysis, data integration, and technical ... MA or MS in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 ...

SOSi

Geospatial Analyst Expert

Fort Eisenhower, GA

The role involves providing advanced geospatial analysis, data integration, and technical ... MA or MS in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 ...

SOSi

Geospatial Analyst Expert

Augusta, GA

The role involves providing advanced geospatial analysis, data integration, and technical ... MA or MS in a technical field such as Geomatics, Geospatial Sciences, or related degree AND 10 ...

Core One

Geospatial Analyst (Expert)

Gordon, GA · On-site

College degree must be in Geospatial Information & Services (GIS), Geomatics, Geospatial Sciences ... Extensive experience with geographically-derived assessments, enterprise data integration, spatial ...

Prescient Edge

SME- Geospatial Analyst

Augusta, GA · On-site

College degree must be in Geospatial Information & Services (GIS), Geomatics, Geospatial Sciences ... Extensive experience with geographically derived assessments, enterprise data integration, spatial ...

teKnoluxion

Expert Geospatial Analyst

Augusta, GA

MS/MA in Geomatics, Geospatial Sciences, or related field AND 10 years of relevant experience; OR ... Extensive experience with geographically-derived assessments, enterprise data integration, spatial ...

teKnoluxion

Expert Geospatial Analyst

Augusta, GA

MS/MA in Geomatics, Geospatial Sciences, or related field AND 10 years of relevant experience; OR ... Extensive experience with geographically-derived assessments, enterprise data integration, spatial ...

teKnoluxion

Expert Geospatial Analyst

Augusta, GA · On-site

MS/MA in Geomatics, Geospatial Sciences, or related field AND 10 years of relevant experience; OR ... Extensive experience with geographically-derived assessments, enterprise data integration, spatial ...

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Showing results 1-20

All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Georgia

Geospatial Data Science information

See Georgia salary details

$18.6K

$65.4K

$103K

How much do geospatial data science jobs pay per year?

As of Jul 22, 2026, the average yearly pay for geospatial data science in Georgia is $65,435.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $67,600.00 per year, depending on experience, location, and employer.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.
What are popular job titles related to Geospatial Data Science jobs in Georgia? For Geospatial Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science jobs in Georgia look for? The top searched job categories for Geospatial Data Science jobs in Georgia are:
Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $65,435 per year, or $31.5 per hour.
Data Scientist / Senior Data Scientist

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

Atlanta, GA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Who are we?

A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.

We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?

Learn more about our unique culture and history.

Job Opportunity:

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.

The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.

Duties & Responsibilities:

  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

Qualifications, Skills and Experience:

  • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
  • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
  • Advanced knowledge of probability theory, statistics, and machine learning methods is required
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Experience and understanding of relational and non-relational databases preferred
  • Comfort working within git-based version-control environments
  • Experience with Databricks or other cloud-based data and analytics platforms preferred
  • Highly motivated, detail oriented, and team player

BHSI Offers:

  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.