Geospatial Data Analyst Internship
Pano · San Francisco, CA
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: Pano is a venture-backed early-stage climate tech startup that is the leader in wildfire early detection, leveraging the latest advancements in IoT, AI, satellites, and SaaS software to deliver actionable intelligence to customers. Pano leverages mountaintop cameras and satellites to detect the first traces of smoke and put real-time fire images in the hands of asset owners and first responders to speed up containment. Pano is already partnering with major utilities, fire authorities, and government agencies in the USA and Australia. Recent media coverage includes being named one of the Top 10 most innovative companies in AI of 2023 by FastCompany and recipient of the Innovative Mobile Service and Application Award at Mobile World Congress through our partnership with T-Mobile.
Pano brings together a diverse team bridging frontline, wildland firefighting experience with best-in-class know-how in operations, logistics, artificial intelligence, and software. Our team is composed of experienced technology professionals from companies such as Apple, Cisco, Nest, DoorDash and Meta. Headquartered in San Francisco with an office and factory in the Mission District, our hybrid team works from locations around the world. Founded in mid-2020, we’ve raised over $40M from leading VC funds.
The Role
As an intern in the geospatial data team reporting to the current data scientist lead, you will assist with identifying and screening candidate locations for camera deployments primarily using currently developed site selection methodologies involving geospatial analysis. This role will support activities with operations, sales, customer success and supply chain teams to provide deployment proposals, extensive site scrubs, press materials, and geospatial statistics to support each team’s activities. An ideal candidate will have a strong mathematical background with an attention to detail and precision as well as some exposure to databases and scripting language. You will also work with the current data scientist lead and other geospatial data analysts to develop and maintain geospatial datasets, project and map templates, and automation scripts for commonly performed tasks.
What you'll do
- Utilize GIS software and existing site selection methodologies to identify suitable locations for remote camera deployments
- Generate customized map layouts, web maps, applications, and data streams to support operations, sales, and customer success activities
- Develop tools for automation of site analysis in collaboration with data scientists
- Lead a novel project involving geospatial data analytics to support team and business needs
What you'll bring
- Must be pursuing or have recently completed a Bachelor’s or Graduate degree in Geography, Computer Science, Engineering, Statistics, Math, or a related field
- 0-1 years of previous experience in data analysis or similar fields
- Proactive and highly self-motivated
- Good critical thinking skills with strong attention to detail.
- Demonstrate clear interest in geospatial analytics
- Excellent geospatial skills
- Strong mathematical background
- Outstanding organizational skills
Nice to have
- Experience with ArcGIS/ESRI or equivalent products
- Experience with Python Experience with SQL/relational database design
- Experience with Salesforce applications
Pano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
