The ideal candidate combines strong econometric and statistical modeling skills with geospatial ... Experience deploying data science or machine learning systems in cloud environments such as AWS
The ideal candidate combines strong econometric and statistical modeling skills with geospatial ... Experience deploying data science or machine learning systems in cloud environments such as AWS
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 ...
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 ...
... machine learning, computer vision, and large language models to enrich our in-house solutions with high-quality geospatial data. To achieve this objective, we manage a portfolio of vendors who supply ...
... machine learning, computer vision, and large language models to enrich our in-house solutions with high-quality geospatial data. To achieve this objective, we manage a portfolio of vendors who supply ...
Areas of interest may include, but are not limited to: • Artificial intelligence and machine learning; • GIS, mapping, and other geospatial analysis and visualization techniques; • Extended and ...
Areas of interest may include, but are not limited to: • Artificial intelligence and machine learning; • GIS, mapping, and other geospatial analysis and visualization techniques; • Extended and ...
Senior Software Developer Specialist
$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 ...
Quick apply
Senior Software Developer Specialist
$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 ...
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 ...
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 ...
Senior Software Developer Specialist
$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 ...
Senior Software Developer Specialist
$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 ...
Machine Learning Geospatial information
See Austin, TX salary details
$18.82 - $21.31
16% of jobs
$22.56 is the 25th percentile. Wages below this are outliers.
$21.31 - $23.81
18% of jobs
The median wage is $26.30 / hr.
$23.81 - $26.30
16% of jobs
$26.30 - $28.79
21% of jobs
$30.53 is the 75th percentile. Wages above this are outliers.
$28.79 - $31.28
5% of jobs
$31.28 - $33.77
3% of jobs
$33.77 - $36.26
5% of jobs
$36.26 - $38.75
4% of jobs
$38.75 - $41.24
9% of jobs
$41.24 - $43.73
1% of jobs
$43.73 - $46.22
1% of jobs
$18
$28
$46
How much do machine learning geospatial jobs pay per hour?
What does a Machine Learning Geospatial professional do?
What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?
What is the difference between Machine Learning Geospatial vs GIS Analyst?
| Aspect | Machine Learning Geospatial | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial data | Bachelor's in Geography, GIS, or related fields; proficiency in GIS software |
| Work Environment | Tech companies, data science teams, research institutions | Government agencies, urban planning, environmental firms |
| Industry Usage | Data-driven geospatial analysis, predictive modeling, AI applications | Mapping, 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?
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 16 days ago
Job description
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.
#LI-CG1
#Land.com
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
About CoStar Real Estate Manager
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Atlanta, GA, US
Year founded
1999