Senior Data Scientist

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 Senior 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 automation 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 5+ 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

Hybrid 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

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

#LI_Hybrid