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.
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, not only will you execute the data science team’s projects and move the agenda forward, you will also 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
Serves as the lead modeler on larger projects or works on concurrent projects E2E
Work closely with the insurance team to build and validate complex risk models
Extract actionable insights and recommendations from time series data to help our customers improve their safety
Understand data characteristics, prepare and clean large high-dimensional data sets, and define and automate robust data quality measures
Identifies creative solutions to complex business problems of broad scope and business impact
Interprets data analysis and model results for business and technical teams
Standardize analysis methodology and building automation frameworks
Accurately performs peer reviews across a broad spectrum of work
Work in cross functional teams
Supports recruitment needs
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
Proven track record with design, development, implementation, and monitoring of statistical and machine learning models independently
Strong technical (written and verbal) communication, prioritization, and time management skills
Strong programming skills with experience using modern packages in Python
Demonstrated experience building, validating, and applying statistical machine learning methods to real world problems
Demonstrated experience in co-creating data science platforms for efficient scaling of research and outputs; from early stages to mature processes
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