Associate Data Scientist
We believe a large part of building an effective insurance company can be solved with a principled quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
A Data Scientist at Root is responsible for the end-to-end development of statistical methods and algorithms. This includes taking high-level business challenges, translating them into a concrete, quantitative framework, and shepherding solutions from R&D into production. Data Scientists typically work on cross-functional teams, regularly engaging with the members of various departments including Product, Actuarial, Marketing, and Engineering.
Associate Data Scientists will join Root’s Data Science Rotation Program. This 9-month program is designed for aspiring data scientists with a strong background in a technical field to kick-start their career in data science. You will apply quantitative techniques to real business problems while developing your theoretical and technical foundation in statistics and machine learning. We are looking for candidates with high quantitative aptitude, strong programming skills, and a passion for problem-solving.
Responsibilities:
- Learn and apply fundamental statistical and machine learning techniques to solve quantitative problems
- Rapidly grow your data science toolkit through on-the-job training and dedicated coursework
- Tackle quantitative insurance challenges in areas such as telematics risk scoring, pricing, reserving, and estimating customer lifetime value
- Effectively communicate insights from complex analyses
- At the end of the rotation program, demonstrate sufficient mastery of data science fundamentals to qualify for a promotion to Data Scientist I
Qualifications:
- In-depth knowledge of a technical discipline, PhD preferred
- Mathematical maturity and basic understanding of probability theory e.g. independence, Bayes’ theorem, combinatorics, calculus
- Strong programming skills in R or Python with some experience fitting models
- Exceptional communicator and storyteller
- End-to-end ownership mentality with a high level of attention to detail
- Data analytics maturity: able to review descriptive statistics and business metrics and make recommendations