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. Join us in making an impact on the industry!

 

 

 

What you’ll do

• Extract actionable insights and recommendations from time series data to help our customers improve their safety

• Work closely with the insurance team to build and validate complex risk models

• Standardizing analysis methodology and building automated frameworks

• Understand data characteristics, prepare and clean large high-dimensional data sets, and define and automate robust data quality measures

• Work in cross functional teams

 

About you 

• Graduate degree in a quantitative or technical discipline and/or 3+ years of applying advanced quantitative techniques to problems in industry

• Strong demonstrable knowledge of topics such as statistical inference, predictive analytics, probability theory, machine learning, etc

• Strong technical (written and verbal) communication, prioritization, and time management skills

• Strong programming skills with experience using modern packages in R and Python

• Demonstrated experience building, validating, and applying statistical machine learning methods to real world problems

 

What you’ll get from us

• Competitive compensation & meaningful equity

• Health insurance for you and your family

• Monthly wellness stipend

• Remote equal culture and reimbursement for home office equipment

• A flexible vacation policy and a team that understands building a company is a marathon, not a sprint

• Support for ongoing development outside of work

• A culture that gives you the autonomy you need to do great work, and the transparency you need to make good decisions