Expertise in modern Machine Learning (ML) methods (supervised/unsupervised learning, time series ... GIS mapping skills using Tableau, Surfer, or ArcGIS/ESRI * Background in Economics, Finance, and/or ...
Expertise in modern Machine Learning (ML) methods (supervised/unsupervised learning, time series ... GIS mapping skills using Tableau, Surfer, or ArcGIS/ESRI * Background in Economics, Finance, and/or ...
Gis Machine Learning information
See Atlanta, GA salary details
$13.64 - $16.62
5% of jobs
$16.62 - $19.61
13% of jobs
$20.61 is the 25th percentile. Wages below this are outliers.
$19.61 - $22.59
21% of jobs
The median wage is $24.55 / hr.
$22.59 - $25.58
17% of jobs
$25.58 - $28.56
13% of jobs
$30.89 is the 75th percentile. Wages above this are outliers.
$28.56 - $31.54
8% of jobs
$31.54 - $34.53
7% of jobs
$34.53 - $37.51
5% of jobs
$37.51 - $40.50
5% of jobs
$40.50 - $43.48
3% of jobs
$43.48 - $46.46
2% of jobs
$13
$27
$46
How much do gis machine learning jobs pay per hour?
As of Jul 26, 2026, the average hourly pay for gis machine learning in Atlanta, GA is $27.43, according to ZipRecruiter salary data. Most workers in this role earn between $20.82 and $32.36 per hour, depending on experience, location, and employer.
What are GIS Machine Learning jobs?
GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.
What are some common challenges faced when integrating machine learning models with GIS data, and how can they be addressed?
One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.
What are the key skills and qualifications needed to thrive as a GIS Machine Learning Specialist, and why are they important?
To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.
What is the difference between Gis Machine Learning vs GIS Analyst?
| Aspect | Gis Machine Learning | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's in GIS, Computer Science, or related; knowledge of machine learning | Bachelor's in Geography, GIS, or related; GIS certifications often preferred |
| Work Environment | Data science teams, software development, research projects | Urban planning, environmental agencies, government offices |
| Employer & Industry Usage | Tech companies, research institutions, environmental firms | Government agencies, consulting firms, urban planning departments |
| Common Search & Comparison Intent | Understanding technical skills and data modeling | Analyzing spatial data for projects and reports |
Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.
What are popular job titles related to Gis Machine Learning jobs in Atlanta, GA? For Gis Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Gis Machine Learning jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Gis Machine Learning jobs? Cities near Atlanta, GA with the most Gis Machine Learning job openings:
Job description
Overview:
Founded in 1988, Trimont (www.trimont.com) is a specialized global commercial real estate loan services provider and partner for lenders and investors seeking the infrastructure and capabilities needed to help them scale their business and make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit. As the largest master servicer of commercial real estate loans in the United States, Trimont manages securitizations with meticulous oversight and coordination-protecting cash flows, mitigating risk, and ensuring portfolio performance.
We do this with a team of 1100+ extraordinary team members who serve a global client base from offices in Atlanta (headquarters), Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our people with advanced technology, industry-leading knowledge, and a culture centered on our core values. This approach enables our teams to deliver exceptional client service, build lasting relationships and take pride in the high-quality work they perform.
Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration.
Learn: We believe ongoing learning is critical and are focused on providing a work environment where all team members can take ownership of their careers.
Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry's most challenging and exciting endeavors.
Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what we as team members and as an organization, can achieve together.
Where people, purpose, and progress come together every day.
Job Summary:
Trimont is seeking an experienced and innovative Senior Director, Lead Data Scientist to join our team. The individual will shape how data is used to inform Trimont leadership, from defining data strategies to implementing advanced tools.
Responsibilities:
Required Qualifications:
Trimont is an equal opportunity employer, and we're proud to support and celebrate diversity in the workplace. If you have a disability and need an accommodation or assistance with the application process and/or using our website, please contact us. We are proud to maintain a drug-free policy, ensuring that our community is a secure and productive space for all our team members.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Founded in 1988, Trimont (www.trimont.com) is a specialized global commercial real estate loan services provider and partner for lenders and investors seeking the infrastructure and capabilities needed to help them scale their business and make informed, effective decisions related to the deployment, management and administration of commercial real estate secured credit. As the largest master servicer of commercial real estate loans in the United States, Trimont manages securitizations with meticulous oversight and coordination-protecting cash flows, mitigating risk, and ensuring portfolio performance.
We do this with a team of 1100+ extraordinary team members who serve a global client base from offices in Atlanta (headquarters), Bengaluru, Charlotte, Dallas, Hyderabad, Kansas City, London, New York and Sydney. We empower our people with advanced technology, industry-leading knowledge, and a culture centered on our core values. This approach enables our teams to deliver exceptional client service, build lasting relationships and take pride in the high-quality work they perform.
Trimont is an innovative firm where visionary professionals come to learn, grow, and thrive with colleagues driven by curiosity and collaboration.
Learn: We believe ongoing learning is critical and are focused on providing a work environment where all team members can take ownership of their careers.
Grow: We work alongside the largest institutional lenders in the world, overseeing the most significant projects in the industry. This unique opportunity allows us to broaden our skillset and develop our abilities by tackling some of the industry's most challenging and exciting endeavors.
Thrive: Our firm is a place where ethics and excellence meet to create an experience that matches our capabilities. There are no limits to what we as team members and as an organization, can achieve together.
Where people, purpose, and progress come together every day.
Job Summary:
Trimont is seeking an experienced and innovative Senior Director, Lead Data Scientist to join our team. The individual will shape how data is used to inform Trimont leadership, from defining data strategies to implementing advanced tools.
Responsibilities:
- Lead end-to-end data science projects: scoping, modeling, deployment, and impact measurement.
- Oversee end-to-end model lifecycle: data collection and feature engineering, experimentation, validation, monitoring, and retraining in production.
- Build and maintain robust data pipelines, instrumentation, and monitoring for model performance, data drift, and business KPIs.
- Partner with stakeholders to set data strategy and identify high-leverage opportunities.
- Provide technical mentorship and code reviews for other offices and Research staff.
- Drive best practices in experimental design, feature engineering, and tool monitoring.
Required Qualifications:
- Master's or Ph.D. in a quantitative discipline.
- 9+ years of professional data science or advanced analytics experience.
- Expertise in modern Machine Learning (ML) methods (supervised/unsupervised learning, time series, Natural Language Processing (NLP), etc.).
- Strong software engineering practices for web tool development and automation.
- Proven ability to influence business strategy through data insights.
- Advanced data visualization skills using software, such as Excel, Tableau and/or Power BI
- GIS mapping skills using Tableau, Surfer, or ArcGIS/ESRI
- Background in Economics, Finance, and/or Real Estate
Trimont is an equal opportunity employer, and we're proud to support and celebrate diversity in the workplace. If you have a disability and need an accommodation or assistance with the application process and/or using our website, please contact us. We are proud to maintain a drug-free policy, ensuring that our community is a secure and productive space for all our team members.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
About Trimont Real Estate Advisors
Sourced by ZipRecruiter
Company size
201 - 500 Employees
Headquarters location
Atlanta, GA, US
Year founded
1988