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Spatial Data Science Jobs in Santa Barbara, CA (NOW HIRING)

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Spatial Data Science information

See Santa Barbara, CA salary details

$49.5K

$144.3K

$197.5K

How much do spatial data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for spatial data science in Santa Barbara, CA is $144,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $153,000.00 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 Santa Barbara, CA?

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

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

The top searched job categories for Spatial Data Science jobs in Santa Barbara, CA are:

What cities near Santa Barbara, CA are hiring for Spatial Data Science jobs?

Cities near Santa Barbara, CA with the most Spatial Data Science job openings:

Infographic showing various Spatial Data Science job openings in Santa Barbara, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $144,333 per year, or $69.4 per hour.

Climate Hazards Center - Associate Specialist in Climate and Data Services

Santa Barbara, CA • On-site


University of California Santa Barbara
5 - 10K employees

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

211th of 627 rated colleges and universities

People enjoy working here

Good employer

Paid breaks


$17.75 - $23/hr

Other

Re-posted 14 days ago


Job description

Position description
The Climate Hazards Center (CHC) at the University of California, Santa Barbara, seeks an experienced scientific programmer for the position of Climate and Data Services Associate Specialist. The CHC is an internationally recognized research group that develops and implements early warning science to support disaster risk reduction, drought monitoring, and famine prevention across select countries. Every day, the CHC provides life-saving information that helps guide critical decisions in the developing world. The selected candidate will work closely with CHC Principal Investigators and scientific programmers related to data pipeline development and operations, exploring innovative ways of distributing data or sharing products, and collaborating with international partners to support their decision-making needs and those of their communities.
This position bridges CHC data processing workflows and product management, and distribution services designed to be end-user facing. The Associate Specialist will focus heavily on managing internal data pipelines, expanding data delivery systems, and collaborating directly with international partners (such as national meteorological services, NGOs, and regional climate networks) to implement data pipelines and interfaces. The ultimate goal of this position is to get critical agro-climatic and environmental data into the hands of local decision-makers through the trusted regional entities that serve them.
Qualifications
Basic qualifications (required at time of application)
  • Applicants must have completed a Master's Degree (or international equivalent) in Computer Science, Geography, Environmental Science, Climate/Atmospheric Science, or Data Science.

Additional qualifications (required at time of start)
  • Experience: Minimum of 12 months of experience working with large-scale data workflows, system scripts, or geospatial datasets.

Preferred qualifications
  • Environment: Demonstrated experience developing, maintaining, and operating data processing environments in UNIX/Linux server spaces.
  • Automation: Experience managing automated data harvest tasks, cron jobs, and file sharing configurations.
  • Communication: Proven capacity to document technical processes and communicate with non-technical or multi-cultural partners across varying time zones.
  • Programming Literacy: Strong programming skills in a modern scientific computing language, with a strong preference for Python or R.
  • Version Control & Collaboration: Demonstrated experience managing collaborative software development using Git/GitHub, including repository maintenance, branching strategies, and effective documentation for shared, reproducible codebases.
  • Adaptability: Demonstrated ability to interface with, translate, or refactor legacy codebases (e.g., IDL, MATLAB, C/C++) into modernized processing pipelines.
  • Database Management: Proficiency with SQL databases, specifically designing or maintaining relational schemas in PostgreSQL.
  • Data Distribution: Familiarity with spatial web data services, data structures, and standard distribution protocols (FTP, HTTP, API endpoints, REST services).
  • Domain Interest: Demonstrated interest or experience in applied environmental sciences, remote sensing data sets, climate risk mitigation, or international development[cite: 1, 2].

Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter - Detailing your specific interest in the position, experience with data workflows, and suitability for international partner collaboration

Reference requirements
  • 3-5 required (contact information only)

References will be contacted only before the final candidate is selected.
Apply link: https://recruit.ap.ucsb.edu/JPF03124
Help contact: lucy.lopez@geog.ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Santa Barbara, University of California, Santa Barbara


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