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Geospatial Data Scientist Jobs in Atlanta, GA (NOW HIRING)

Guidehouse

Epidemiologist Data Scientist

Atlanta, GA

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience in geospatial analyses using QGIS, ArcGIS, etc. * Experience with statistical modeling ...

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... Geospatial Data: Experience handling global address normalization and geospatial indexing for risk ...

Infojini Inc

GIS Manager

Atlanta, GA · On-site

$80K - $108K/yr

... geospatial data processing/ETL and publishing of data into enterprise geodatabases Acquires ... Bachelor's in Geography, GIS, Computer Science, or a related field 5+ yrs experience - ArcGIS with ...

Beck's Hybrids

Software Engineer

Atlanta, GA · On-site

$80 - $110/hr

B.S. in Computer Science, Software Engineering, or a related field preferred, or equivalent ... Mapping and geospatial data libraries * Authentication and authorization, feature flags, and ...

New

Beck's Superior Hybrids

Software Engineer

Atlanta, GA · On-site +1

B.S. in Computer Science, Software Engineering, or a related field preferred, or equivalent ... Mapping and geospatial data libraries * Authentication and authorization, feature flags, and ...

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Geospatial Data Scientist information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do geospatial data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for geospatial data scientist in Atlanta, GA is $118,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 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 the most commonly searched types of Geospatial Data Scientist jobs in Atlanta, GA?

The most popular types of Geospatial Data Scientist jobs in Atlanta, GA are:

What are popular job titles related to Geospatial Data Scientist jobs in Atlanta, GA?

For Geospatial Data Scientist jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Scientist jobs in Atlanta, GA look for?

The top searched job categories for Geospatial Data Scientist jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Geospatial Data Scientist jobs?

Cities near Atlanta, GA with the most Geospatial Data Scientist job openings:

Geospatial Data Scientist jobs near you
Infographic showing various Geospatial Data Scientist job openings in Atlanta, GA as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $118,028 per year, or $56.7 per hour.

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

Atlanta, GA • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 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.