Nirvana - Data scientist | Scrabble & Jigsaw
Posted on October 31, 2022
Job Description
Who we are
Nirvana is on a mission to modernize commercial insurance and enable a safer world. Our
technology platform delivers modern insurance & risk management to not only help our
customers protect their businesses, but actually improve safety for everyone.
To start, we’re transforming the legacy, $750B+ commercial insurance industry through
cutting-edge predictive models using real-time IoT data (~50B connected devices by 2030),
automation to deliver instantaneous quotes & faster underwriting, & proactive, and data-driven
insights to help customers prevent accidents.
Backed by top-tier VCs including General Catalyst & Lightspeed Ventures, Nirvana became the
fastest insurtech EVER to launch in Jan 2022 and crossed >$10M run rate in under 6 months,
more than 2x faster than best-in-class insurtechs. Our leadership team has helped scale
multi-billion dollar companies from scratch including Samsara, Rubrik, Acko & Flexport, and
includes industry veterans from Hiscox, AIG, The Hartford & RLI.
About the role
At Nirvana, we work with heterogeneous datasets and mine predictive signals to accurately
identify risks for businesses. Some of the data we work with includes,
● 100s of millions of GPS and sensor data points per vehicle, ingested and stored in our
proprietary data platform.
● Safety events like harsh braking, distracted driving, etc computed from sensors in
commercial vehicles.
● High-dimensional datasets containing, among others, decades of vehicle inspection,
crash, and violation data for all commercial vehicles in the US.
As a Data Scientist, you will work closely with our data engineering and insurance teams and
use these large datasets to help build data-driven insurance and safety products in a fast-paced
startup environment. You must enjoy working with large data and finding interesting patterns in
the data through analytics experiments in a methodical and data-driven scientific way.
The insurance / risk business has many unsolved problems where sophisticated use of
information plays a critical role.
