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

Data Scientist

Austin, TX · On-site

$90 - $130/hr

Develop and deliver production-ready machine learning approaches to yield insights and ... Experience with remote sensing, GIS tools, and satellite imagery analysis. * Experience with CVML

Gis Machine Learning information

See Austin, TX salary details

$14

$28

$47

How much do gis machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for gis machine learning in Austin, TX is $28.27, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $33.37 per hour, depending on experience, location, and employer.

What is a GIS Machine Learning job?

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 common challenges 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?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing 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 Austin, TX? For Gis Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Austin, TX look for? The top searched job categories for Gis Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Gis Machine Learning jobs? Cities near Austin, TX with the most Gis Machine Learning job openings:

Data Scientist

247Hire

Austin, TX • On-site

$90 - $130/hr

Other

Posted 4 days ago


Job description

Responsibilities

You will:



  • Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.

  • Work with high resolution machine and agronomic data in the development and testing of predictive models.

  • Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data.

  • Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes.

  • Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.


Qualifications

  • Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.

  • Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc.

  • Experience with Visualization tools such as Tableau, Kepler.gl, etc.

  • Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.

  • Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.

  • Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.


What makes candidates stand-out

  • Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures.

  • Experience with remote sensing, GIS tools, and satellite imagery analysis.

  • Experience with CVML

  • Experience with advanced AI techniques and tools.

  • Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.

  • Familiarity with Distributed Datasets

  • Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.

  • Additional experience with other languages such as Java, JavaScript, Scala, etc.

  • Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.

  • Experience with model validation, measuring model bias, measuring model drift, etc.

  • Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.

  • Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.

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About 247Hire

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Oak Brook, IL, US

Year founded

2002