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Spatial Data Science Jobs in Los Angeles, CA (NOW HIRING)

Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ...

Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ...

Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ...

Senior GIS Analyst

El Segundo, CA · Remote

$48 - $50.48/hr

Equivalent to graduation from college in the Social Sciences, Natural Sciences, Geography, Planning ... Analyzing spatial data for geographic statistics to incorporate into documents and reports;

New

Senior GIS Analyst

El Segundo, CA · On-site

$48 - $50.48/hr

Equivalent to graduation from college in the Social Sciences, Natural Sciences, Geography, Planning ... Analyzing spatial data for geographic statistics to incorporate into documents and reports;

Senior GIS Analyst

El Segundo, CA · On-site

$48 - $50.48/hr

Equivalent to graduation from college in the Social Sciences, Natural Sciences, Geography, Planning ... Analyzing spatial data for geographic statistics to incorporate into documents and reports;

Jr. GIS Analyst

Irvine, CA · On-site

$50K - $70K/yr

... scientists, to integrate GIS data into project workflows Skills: * Technical Skills: Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial analysis, and data visualization tools. * Analytical ...

Business Analyst II

Santa Ana, CA · On-site

$33K - $72K/yr

Spatial Data & Asset Integrity Analyst Role Overview We are seeking a detail-oriented Spatial Data ... Bachelor's degree in Geography, Engineering, IT, Computer Science, or a related field. • ...

Applied Scientist

Culver City, CA · On-site

$150 - $210/hr

... spatial audio, world‑class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML ...

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Spatial Data Science information

See Los Angeles, CA salary details

$47.9K

$139.8K

$191.3K

How much do spatial data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for spatial data science in Los Angeles, CA is $139,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a spatial data scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, relationships, and trends using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, and logistics.

What are popular job titles related to Spatial Data Science jobs in Los Angeles, CA?

For Spatial Data Science jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Spatial Data Science jobs in Los Angeles, CA look for?

The top searched job categories for Spatial Data Science jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Spatial Data Science jobs?

Cities near Los Angeles, CA with the most Spatial Data Science job openings:

Infographic showing various Spatial Data Science job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,771 per year, or $67.2 per hour.

Full-Time, Teaching-Track Faculty Position in Spatial Sciences

University of Southern California

Los Angeles, CA • On-site

$80 - $132.52/hr

Other

Posted 4 days ago


University Of Southern California rating

8.2

Company rating: 8.2 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

151st of 631 rated colleges and universities


Job description

The University of Southern California Spatial Sciences Institute, located in Los Angeles, California, invites applicants for a full-time teaching-track faculty position in the ranks of instructor, lecturer, assistant professor (teaching), associate professor (teaching), professor (teaching), assistant professor of the practice, associate professor of the practice and professor of the practice, for the 2026-2027 academic year.

The Institute, housed in the Dana and David Dornsife College of Letters, Arts and Sciences, provides world-class education for scores of working professionals, researchers, graduate and undergraduate students. Today, it offers a Ph.D. in Population, Health and Place; a doctoral-level Graduate Certificate in Spatial Analytics; an M.S. in Global Security Studies; an M.S. and four Graduate Certificates in Geographic Information Science and Technology; an M.S. in Human Security and Geospatial Intelligence; an M.S. in Spatial Data Science, an M.S. in Spatial Economics and Data Analysis; a B.S. in Geodesign; a B.S. in Global Geodesign; a B.S. in Human Security and Geospatial Intelligence; a Minor in Spatial Studies; a Minor in Human Security and Geospatial Intelligence; and a Minor in GIS and Sustainability Science. In addition, the Institute offers several large-scale general education courses with a spatial sciences foundation.

The successful candidate will have substantive expertise and demonstrated excellence in teaching in the Institute’s core areas of geographic information science and place, along with the accompanying geospatial technologies. In particular, the Institute has priority on expertise and experience in human security and geospatial intelligence, spatial computing, spatial data acquisition, spatial data science and spatial economics. This position may also be expected to teach courses in one or more of the following areas: geodesign; human security and geospatial intelligence; population, health and place; remote sensing and Earth observation; spatial computing; spatial data acquisition; spatial data science; and spatial economics and data analysis.

Review of candidates starts immediately and continues until the positions are filled. Candidates must have a Ph.D. in a relevant field at the time of appointment. Please submit your curriculum vitae, a statement of teaching interests and experience, a writing sample (chapter or article), samples of syllabi and teaching evaluations, and the names and contact information for three references that could speak to teaching abilities. In order to be considered for this position, all candidates must apply via the "Apply" link at the top or bottom of this page.

We encourage prospective candidates to review our website at http://spatial.usc.edu/ prior to applying. For additional information, contact Dr. John P. Wilson at 213-740-1908 or jwilson@usc.edu.

The annual base salary range for this position is $80,000 - $132,525. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

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About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880