Geospatial Data Analyst (Contract)

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT

Who we are

The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, dryer fuels, and faster winds—new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond—preventing small flare-ups from becoming devastating infernos.

About Pano: We are a 100+ person growth-stage hybrid-remote start-up, headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely—with the right equipment, timely information, and enhanced coordination—so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence.

Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! MIT Technology Review listed Pano as one of the top 15 climate tech companies to watch in 2024, and Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023. We’ve also been featured in the Wall Street Journal, Bloomberg, and CNBC News. Pano AI’s dozens of government and enterprise customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised $89M in venture capital funding from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at https://www.pano.ai/.

The Role

As a contracted geospatial data analyst reporting to the data scientist lead, you will identify and screen candidate locations for camera deployments using established site selection methodologies and geospatial analysis. This role collaborates with operations, sales, customer success, and supply chain teams to deliver deployment proposals, site evaluations, press materials, and geospatial statistics. An ideal candidate will have a strong mathematical background with attention to detail, solid experience with databases and Python scripting, and familiarity with collaborative software development practices. You will also work with the data scientist lead to develop and maintain geospatial datasets, project and map templates, and automation scripts. This is a temporary position expected to last for 3 to 4 months, from January 2026 to April 30, 2026.

What you’ll do

• Partner with customer success, sales, and operations teams to understand geospatial data needs

• Use GIS software and existing site selection methodologies to identify suitable locations for remote camera deployments

• Generate customized map layouts, web maps, applications, and data pipelines to support cross-functional activities

• Develop and maintain Python-based automation tools in collaboration with data scientists, following software engineering best practices, including code reviews, pull requests, and version control with Git/GitHub

• Build and query PostgreSQL/PostGIS databases to support geospatial data workflows

• Deliver training and technical support to internal users

• Collaborate on special projects as needed

What you’ll bring

• Bachelor's degree in Computer Science, Engineering, Geography, Statistics, Math, or a related field

• 1–2 years of experience in data analysis, geospatial analysis, or similar roles

• Strong Python programming skills

• Experience with SQL and relational databases, particularly PostgreSQL

• Familiarity with Git/GitHub workflows (branching, pull requests, code reviews)

• Excellent geospatial skills with experience in ArcGIS/ESRI or equivalent platforms

• Strong mathematical background with attention to detail

• Proactive, self-motivated, and well-organized

Nice to have

• Experience with PostGIS or other spatial database extensions

• Familiarity with ETL pipeline development

• Experience with cloud-based geospatial tools or data warehouses

Final compensation for full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.