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Machine Learning Geospatial Jobs in Austin, TX (NOW HIRING)

The ideal candidate combines strong econometric and statistical modeling skills with geospatial ... or machine learning systems in cloud environments such as AWS Familiarity with GIS tools such as ...

In this role, you will design, build, and deploy production-grade machine learning systems that ... Experience with Geospatial Information Systems (GIS) and analyzing spatial data. * Prior experience ...

Senior Software Developer Specialist

Austin, TX · On-site

$54 - $71.25/hr

In this role, you will design, build, and deploy production-grade machine learning systems that ... Experience with Geospatial Information Systems (GIS) and analyzing spatial data. Prior experience ...

In this role, you will design, build, and deploy production-grade machine learning systems that ... Experience with Geospatial Information Systems (GIS) and analyzing spatial data. * Prior experience ...

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Machine Learning Geospatial information

See Austin, TX salary details

$18

$28

$46

How much do machine learning geospatial jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for machine learning geospatial in Austin, TX is $28.89, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $33.61 per hour, depending on experience, location, and employer.

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

What is the difference between Machine Learning Geospatial vs GIS Analyst?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial specialist, and why are they important?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What are popular job titles related to Machine Learning Geospatial jobs in Austin, TX? For Machine Learning Geospatial jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Geospatial jobs in Austin, TX look for? The top searched job categories for Machine Learning Geospatial jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Geospatial jobs? Cities near Austin, TX with the most Machine Learning Geospatial job openings:
Land.com - Senior Data Scientist

Land.com - Senior Data Scientist

CoStar Group

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Land.com - Senior Data Scientist
Job Description
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
Land.com
Land.com offers the largest and most effective marketplaces to discover, buy and sell rural real estate. The Land.com network connects millions of active buyers and landowners with the best local real estate professionals every month across three platforms.
Learn more about Land.com.
Role Description:
We are seeking a Senior Data Scientist to lead development and expansion of AcreValue's predictive land valuation models and to help build the foundation for future AI-driven capabilities within the platform.
This role will focus primarily on expanding AV+ parcel-level land valuation and predictive modeling capabilities in collaboration with internal engineering and product teams.
The ideal candidate combines strong econometric and statistical modeling skills with geospatial data expertise, and can design models that are interpretable, defensible, and explainable to both technical and non-technical stakeholders. Equally important is the ability to independently research complex problems, investigate economic, geospatial, and environmental factors influencing land valuation, identify relevant datasets, evaluate modeling approaches, and translate findings into practical production models.
This role will work closely with engineering teams to operationalize valuation modeling workflows and scalable prediction processes, while contributing technical expertise toward the platform's future AI initiatives, including natural language parcel search and AI-driven land insights.
This role is located in our Austin office and has a schedule of 5 days on-site.
Responsibilities:
  • Design, develop, and maintain parcel-level land valuation and predictive models used across the AcreValue platform
  • Research and expand valuation methodologies across diverse geographies and land types using geospatial, economic, and environmental data
  • Develop statistical and econometric models that are transparent, defensible, and explainable to both technical and non-technical stakeholders
  • Research land-use, economic, environmental, and geospatial factors influencing land values and incorporate findings into production predictive modeling approaches
  • Identify and prototype new datasets and model features prior to engineering implementation
  • Define and implement model evaluation, validation, and monitoring frameworks
  • Partner with engineering teams to operationalize valuation modeling workflows models, including training, prediction generation, validation and retraining processes
  • Contribute to research, prototyping, and technical evaluation of AI-driven land intelligence capabilities

Basic Qualifications:
  • Bachelor's degree required from an accredited, not-for-profit, in-person college/university
  • A track record of commitment to prior employers.
  • Experience building statistical or econometric models in Python for real-world predictive applications
  • Experience working with large geospatial datasets and spatial data concepts, including vector and raster formats, coordinate systems, and spatial joins

Preferred Qualifications:
  • Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science
  • Experience with Python geospatial libraries such as GeoPandas, Shapely, GDAL, or Rasterio
  • Experience working with spatial databases such as PostGIS or MongoDB with geospatial queries
  • Experience with parcel data, land cover datasets, satellite imagery, or soil and cropland data layers
  • Background in agricultural economics, farmland valuation, or real estate valuation
  • Experience deploying data science or machine learning systems in cloud environments such as AWS
  • Familiarity with GIS tools such as QGIS

What's in it for you?
When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, and tuition reimbursement.
Our benefits package includes (but is not limited to):
  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group's Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
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#Land.com
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing