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Palo Alto, California

Data Scientist, Risk


We are seeking a driven Data Scientist to help us bring machine learning to the insurance industry. As a data scientist at Next Insurance, you will work on a wide range of projects, building predictive risk models and optimizing user experience. You will enable us to make the best use of our proprietary data, supplemented with novel data sources which you get to assemble creatively. You will report directly to our Head of Data Science and have day-to-day exposure to multiple members of the company’s leadership team.

Responsibilities

Research and develop predictive models (we typically start with a POC and then work with product and engineering counterparts to transition to production)

Iterate and pivot quickly to deliver MVP solutions. Design quick experiments to maximize learning

Understand the data and dig deep to extract actionable insights

Think creatively and outside the box to answer desired experimental questions

Work cross-functionally with engineering, product, marketing, business intelligence, insurance operations, customer support, senior management, and external partners

Desired Skills and Experience:

2+ years of hands-on experience in data mining, machine learning and/or statistical analysis

MS/Phd in Computer Science, Statistics, Applied Math, or related areas from a top university

Experience in writing both agile exploratory analyses as well as production-level code in a fast-paced environment

Ability to communicate the results of analyses clearly and effectively

Fluency with an analytical programming language (preferably python) and the standard numerical packages

Fluency with data extraction/manipulation tools (preferably SQL and pandas)

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