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Gis Machine Learning Jobs in Pittsburgh, PA (NOW HIRING)

Howmet

Data Scientist

Pittsburgh, PA · On-site

... GIS) organization at the Howmet Corporate Center in Pittsburgh, PA . In this role you will be ... Support the deployment, testing, and monitoring of machine learning models in production ...

Howmet Aerospace

Data Scientist

Pittsburgh, PA

$38K - $43K/yr

... GIS) organization at the Howmet Corporate Center in Pittsburgh, PA . In this role you will be ... Develop and maintain datasets for analytics and machine learning projects. * Collaborate with data ...

Howmet Aerospace

Data Scientist

Pittsburgh, PA

$38K - $43K/yr

Basic understanding of statistical analysis and machine learning concepts. Basic Qualifications ... GIS) organization at the Howmet Corporate Center in Pittsburgh, PA . In this role you will be ...

Woolpert

Senior Software Engineer

Pittsburgh, PA · Hybrid

$118K - $156K/yr

... GIS. * Collaborate with internal and external users to ensure the correctness, quality, and ... Computer Vision * AI & Machine Learning * LiDAR * Robotics/Self-Driving/Autonomy * General ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools * Expertise in ...

Woolpert

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $147K/yr

... GIS. * Collaborate with internal and external users to ensure the correctness, quality, and ... Computer Vision * AI & Machine Learning * LiDAR * Robotics/Self-Driving/Autonomy * General ...

All JobsGis Machine Learning JobsGis Machine Learning Jobs in Pittsburgh, PA

Gis Machine Learning information

See Pittsburgh, PA salary details

$13

$27

$46

How much do gis machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for gis machine learning in Pittsburgh, PA is $27.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $32.69 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 Pittsburgh, PA?

For Gis Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Gis Machine Learning jobs in Pittsburgh, PA look for?

The top searched job categories for Gis Machine Learning jobs in Pittsburgh, PA are:

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Cities near Pittsburgh, PA with the most Gis Machine Learning job openings:

Gis Machine Learning jobs near you

GIS Production Analyst (Contractor)

Pittsburgh, PA • On-site

Latitude AI
See more jobs at Latitude AIexternal

Full-time

This job post has expired 5 days ago. Applications are no longer accepted.

Job description

Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
One of the keys to delivering an ADAS driving experience is an accurate, up-to-date HD map that describes the world around us. This map, collected onboard our vehicles and processed by the Data Services Operations team, must meet intense quality standards achieved through structured workflows, rigorous policy and attention to detail. Along with providing HD map production, the Map Operations team supports and enables data-driven decision making by providing GIS analysis to teams across Ford and Latitude.
We are seeking a highly skilled and motivated Data Services Analyst to join our team. The ideal candidate will be responsible for quality controlling map data, processing automation feedback, and crafting best practices related to Geographic Information Systems (GIS).
This contract will be 1 year (12 months) in duration.
What you'll do:
  • Execute quality control functions in Latitude's HD map data pipeline to ensure accuracy and consistency
  • Provide automation feedback to improve efficiency of Map Operations
  • Maintain and ensure the quality of GIS data and related processes
  • Analyzing spatial data through the use of mapping software

What you'll need to succeed:
  • Proficiency in GIS software such as ArcGIS, QGIS, or similar
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities
  • Experience in quality control and data management is preferred
  • Ability to work 100% at desk in a 2D and 3D virtual environment

Nice to have:
  • Bachelor's degree in GIS, Geography, Environmental Science, or related field
  • Previous experience working in an AI/self-driving setting or similar
  • Experience sourcing and federating third party data for spatial analysis

Learn more about Latitude's team, mission and career opportunities at lat.ai!
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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