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15h Left Senior Data Scientist
4 weeks ago
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
