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Geospatial Analyst Climate Jobs in California (NOW HIRING)

Senior Platform Engineer

Redwood City, CA · On-site

$150K - $197K/yr

Partner closely with domain experts to turn analytical and batch workflows into usable product ... Experience with PostgreSQL, PostGIS, and/or geospatial or time-series data * Experience with AWS ...

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Geospatial Analyst Climate information

What does a Geospatial Analyst Climate do?

A Geospatial Analyst Climate uses geographic information systems (GIS) and remote sensing tools to collect, analyze, and visualize data related to climate and environmental change. They interpret satellite imagery, climate models, and spatial datasets to identify trends, patterns, and impacts of climate phenomena such as temperature shifts, precipitation changes, and natural disasters. Their work supports climate research, policy making, and environmental management by providing actionable insights about the earth’s climate system.

What are the key skills and qualifications needed to thrive as a Geospatial Analyst Climate, and why are they important?

To thrive as a Geospatial Analyst Climate, you need expertise in GIS, remote sensing, spatial data analysis, and a background in environmental science or geography. Proficiency with tools like ArcGIS, QGIS, Python, and climate data modeling platforms, along with certifications in GIS or related fields, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and convey findings to diverse stakeholders. These competencies are vital for accurately assessing climate impacts, informing decision-making, and supporting effective environmental solutions.

What is the difference between Geospatial Analyst Climate vs Geospatial Analyst?

AspectGeospatial Analyst ClimateGeospatial Analyst
Required CredentialsBachelor's in Geography, GIS, Environmental Science; GIS certificationsBachelor's in Geography, GIS, Environmental Science; GIS certifications
Work EnvironmentEnvironmental agencies, climate research organizations, governmentVarious industries including urban planning, transportation, government
Employer & Industry UsageFocused on climate data analysis and environmental impactBroader GIS applications across multiple sectors
Search & Comparison IntentUnderstanding climate-specific GIS rolesGeneral GIS roles and career options

While both roles require similar educational backgrounds and certifications, Geospatial Analyst Climate specializes in climate data and environmental impact analysis, often within environmental agencies or research organizations. In contrast, Geospatial Analyst has a broader scope, applying GIS skills across various industries such as urban planning, transportation, and utilities.

How does a Geospatial Analyst specializing in climate typically collaborate with interdisciplinary teams?

Geospatial Analysts focused on climate often work closely with environmental scientists, data engineers, and policy experts to interpret and visualize spatial climate data. Collaboration usually involves regular meetings to align on project goals, sharing datasets, and integrating geospatial findings into broader climate models or policy recommendations. Strong communication skills are essential, as you'll need to explain technical geospatial concepts to non-specialists and contribute to multidisciplinary projects. This collaborative environment not only broadens your skill set but also offers opportunities for professional growth within environmental and research-driven organizations.
What job categories do people searching Geospatial Analyst Climate jobs in California look for? The top searched job categories for Geospatial Analyst Climate jobs in California are:
What cities in California are hiring for Geospatial Analyst Climate jobs? Cities in California with the most Geospatial Analyst Climate job openings:
Infographic showing various Geospatial Analyst Climate job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Senior ML Engineer, Multi-Sensor Modeling

Senior ML Engineer, Multi-Sensor Modeling

Gridware

San Francisco, CA

$190K - $205K/yr

Full-time

Medical, Dental, Vision

Posted 9 days ago


Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
Responsibilities
  • Develop algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems
  • Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics.
  • Design models that are robust, interpretable, and deployable in production environments.
  • Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges
  • Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals
Production Engineering
  • Write clean, scalable, well-tested Python code that integrates into a large shared codebase.
  • Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment.
  • Optimize models for performance, reliability, and real-world constraints.
  • Collaborate on infrastructure for model monitoring, validation, and continuous improvement.
Collaboration & Communication
  • Translate complex analyses into clear insights for engineers, operators, and leadership.
  • Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects
  • Communicate uncertainty, tradeoffs, and model behavior effectively.
  • Partner cross-functionally with software, data engineering, product, and event-reporting teams.
  • Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management.
Required Skills
  • 5+ years of experience in machine learning, signal processing, or applied physics in production environments.
  • Strong programming skills in Python and experience contributing to large, shared codebases.
  • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
  • Excellent written and verbal communication, especially explaining data and models clearly.
Bonus Skills
  • Experience with Graph Neural Networks or learning over physical/topological systems.
  • Familiarity with power systems, embedded sensing, or edge ML.
  • Proven experience with time-series modeling and noisy real-world sensor data.
  • Experience with multimodal learning or sensor fusion.
  • Track record of technical leadership or mentoring.
 
$190,000 - $205,000 a year
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
"Off the Grid", a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training 
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