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Gis Machine Learning Jobs in Arizona (NOW HIRING)

AI Applications & Data Analytics Lead

Tucson, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance. Optimize product pricing with sales data including pricing and GIS data. Integrate ...

Gis Machine Learning information

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 Arizona?

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

What job categories do people searching Gis Machine Learning jobs in Arizona look for?

The top searched job categories for Gis Machine Learning jobs in Arizona are:

What cities in Arizona are hiring for Gis Machine Learning jobs?

Cities in Arizona with the most Gis Machine Learning job openings:

AI Applications & Data Analytics Lead

Granite

Tucson, AZ

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


Granite Telecommunications rating

7.3

Company rating: 7.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

52nd of 98 rated telecommunications companies


Job description

Building a career at Granite may be the most valuable thing you could do...

Find your dream job today, and be part of something great. Our most powerful partnership is the one we have with our employees. Our people are our most valued asset and the foundation of Granite's century-old success. We're building more than infrastructure; we are building your future.

General Summary

The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance across construction materials operations.
This role serves as the bridge between field operations and technology-turning operational data into actionable intelligence and deploying AI-enabled applications that improve decision-making, automate workflows, and enhance productivity.
The position combines hands-on development capability with business leadership-owning the identification, prioritization, and execution of AI and analytics use cases across plants, sales, and support functions.Essential Job Accountabilities

Design, develop, and maintain AIenabled applications supporting aggregate and asphalt plant operations and sales. Develop and implement machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance. Optimize product pricing with sales data including pricing and GIS data. Integrate AI solutions with existing operational software, plant systems, sensors, and databases. Enhance sales efficiency through the use of AI and bots to review specifications, Enhance and modernize legacy software systems through automation, predictive analytics, and decisionsupport tools. Build and maintain data pipelines, APIs, and services enabling realtime and nearrealtime operational insights. Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence. Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions. Ensure AI solutions align with cybersecurity standards, company policies, and responsible AI practices. Document systems, models, and processes to support longterm sustainability and user adoption. Continuously evaluate emerging AI and software technologies relevant to construction materials

Education
  • Bachelor's Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields. Equivalent practical experience may be considered for candidates with a strong portfolio.

Work Experience

  • Minimum of two (2) years of professional experience in software development, data analytics, AI or machine learning implementation.
  • Experience delivering productionready apps, and software solutions in operational or industrial environments.
  • Strong data analytics skills.
  • Experience working with databases, analytics platforms, and modern application architecture.
Knowledge, skills, and abilities
  • Experience in aggregate, asphalt, construction materials, mining, sales or manufacturing operations.
  • Familiarity with plant control systems, sales and production data.
  • Experience with predictive maintenance, quality analytics, or process optimization.
  • Strong communication skills and ability to work with nontechnical stakeholders.
  • Applied artificial intelligence and machine learning
  • Industrial software development and systems integration
  • Datadriven problem solving
  • Operational and sales mindset focused on safety, quality, and efficiency
  • Collaborative and partnership mindset.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is required to walk uneven and steep ground to access property for the purpose of interacting with operations and sales employees. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Additional Requirements/Skills
  • Abide by Granite's Code of Conduct on a daily basis
  • Valid driver's license and ability to drive for extended periods of time
  • Overnight travel required

Our Benefits at a Glance:

Building tomorrow starts with you, and Granite knows that you can excel only if we support you in and out of the workplace. That is why we offer a broad benefits package that includes paid holidays, sick leave, medical, dental, vision, life insurance, disability insurance, flexible spending plans, as well as special programs for musculoskeletal health, mental wellness, and more.

Salaried employees may choose from two PPO medical plans through Anthem BlueCross, including our most popular plan, for which 100% of the premium is paid by Granite for eligible employees and dependents. Employees can also opt into a Health Savings Account (HSA) or a Flexible Spending Account (FSA).

As part of our investment in your future outside of the workplace, Granite provides a 100% match on the first 6% of eligible compensation that salaried employees defer into their 401(k) plans, which vests immediately.

Benefits may vary for positions located outside of the continental United States.

Base Salary Range:

$95,753.00 - $175,018.00

Pay may vary based upon relevant experience, skills, location, and education among other factors.

About Granite Construction Incorporated

Granite Construction Incorporated is a member of the S&P 400 Index and is the parent company of Granite Construction Company, one of the nation's largest heavy civil contractors and construction materials producers. Granite is a Drug-Free Workplace and Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, or any other protected characteristic.We consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.

For additional information on applicant/employee rights please clickhere.

Notice to Staffing Agencies

Granite Construction, Inc. and its subsidiaries ("Granite") will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Granite, including unsolicited resumes sent to a Granite mailing address, fax machine or email address, directly to Granite employees, or to Granite's resume database will be considered Granite property. Granite will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.Granite will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.Agencies must obtain advance written approval from Granite's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening.Granite will not pay a fee to any Agency that does not have such agreement in place.Agency agreements will only be valid if in writing and signed by Granite's Human Resources Representative or his/ her designee. No other Granite employee is authorized to bind Granite to any agreement regarding the placement of candidates by Agencies.


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