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Gis Machine Learning Jobs in California (NOW HIRING)

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

In this role, you will apply advanced data analytics and machine learning techniques to explore ... GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom ...

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

... GIS professionals to power the operations of their organizations. Responsibilities : • Develop Python-based machine learning components that enhance how users assess, understand, and improve ...

... AI, GIS, and medical data analysis, leveraging data science and data engineering approaches to convert unstructured data into structured, analyzable formats. * Apply machine learning models to ...

... machine learning, computer hardware, and the business of software, to enhance your contributions to ... change with GIS technology. For more information on Esri's Racial Equity and Social Justice ...

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

In this role, you will design and develop the software used by a large community of GIS ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

In this role, you will design and develop the software used by a large community of GIS ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

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Gis Machine Learning information

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?

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 California? For Gis Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in California look for? The top searched job categories for Gis Machine Learning jobs in California are:
What cities in California are hiring for Gis Machine Learning jobs? Cities in California with the most Gis Machine Learning job openings:
GIS Solution Engineer - Local Government (California)

GIS Solution Engineer - Local Government (California)

Esri

Redlands, CA • On-site

$79K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies


Job description

Overview
As a GIS subject matter expert, you're a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding
At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.
Responsibilities
  • Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Support your team as you help plan and execute sales strategies.
  • Be an expert. Become a subject matter expert of local government as well as a technical expert of ArcGIS. Speak confidently with customers about Esri technologies and thoroughly communicate the Esri message. Be a visionary for your customers anticipating their needs and the technology trends that may impact them.
  • Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver strategies to customers that align Esri technology with their business.
  • Tell our story. Present technical demonstrations of proposed solutions to customers. Successfully design presentations for technical and non-technical customers. Provide best practices related to the use, deployment, and administration of Esri technology. Present at conferences and trade shows.

Requirements
  • 2+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
  • 1+ years of experience working in or supporting local government
  • Understanding of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
  • Experience in technical consulting and conceptual solution design as well as an understanding of sales and business development processes
  • Experience with geodatabases and underlying DBMS technology
  • Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
  • Remarkable presentation, interpersonal, and listening skills
  • Ability to travel domestically or internationally 25-50%
  • Bachelor's degree in geography, computer science, or a related field
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S

Recommended Qualifications
  • Ability to troubleshoot client issues related to Esri application deployment and system architecture
  • Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
  • Experience incorporating real-time information streams with existing GIS data and IT infrastructure
  • Basic understanding of artificial intelligence/machine learning concepts
  • Programming and scripting experience with languages such as Python and JavaScript
  • Master's degree in geography, computer science, or a related field

Questions about our interview process? We have answers
#LI-KR1
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Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$79,248-$130,728 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969