<div>Who we are</div> <div><br /> Nirvana is on a mission to modernize commercial insurance and enable a safer world. Our<br /> technology platform delivers modern insurance &amp; risk management to not only help our<br /> customers protect their businesses, but actually improve safety for everyone.<br /> To start, we&rsquo;re transforming the legacy, $750B+ commercial insurance industry through<br /> cutting-edge predictive models using real-time IoT data (~50B connected devices by 2030),<br /> automation to deliver instantaneous quotes &amp; faster underwriting, &amp; proactive, and data-driven<br /> insights to help customers prevent accidents.<br /> Backed by top-tier VCs including General Catalyst &amp; Lightspeed Ventures, Nirvana became the<br /> fastest insurtech EVER to launch in Jan 2022 and crossed &gt;$10M run rate in under 6 months,<br /> more than 2x faster than best-in-class insurtechs. Our leadership team has helped scale<br /> multi-billion dollar companies from scratch including Samsara, Rubrik, Acko &amp; Flexport, and<br /> includes industry veterans from Hiscox, AIG, The Hartford &amp; RLI.<br /> About the role<br /> At Nirvana, we work with heterogeneous datasets and mine predictive signals to accurately<br /> identify risks for businesses. Some of the data we work with includes,</div> <div><br /> ● 100s of millions of GPS and sensor data points per vehicle, ingested and stored in our<br /> proprietary data platform.<br /> ● Safety events like harsh braking, distracted driving, etc computed from sensors in<br /> commercial vehicles.<br /> ● High-dimensional datasets containing, among others, decades of vehicle inspection,<br /> crash, and violation data for all commercial vehicles in the US.<br /> As a Data Scientist, you will work closely with our data engineering and insurance teams and<br /> use these large datasets to help build data-driven insurance and safety products in a fast-paced<br /> startup environment. You must enjoy working with large data and finding interesting patterns in<br /> the data through analytics experiments in a methodical and data-driven scientific way.<br /> The insurance / risk business has many unsolved problems where sophisticated use of<br /> information plays a critical role.</div>