Ethos is a new kind of life insurance built for people who don't have time for fine print, extra doctors appointments or hidden fees. We have transformed a 15 week process of paper applications and medical exams, into just the click of a button - by quantifying the user’s health risk using predictive models.
Our team hails from companies such as Google, Facebook, Snapchat, Instagram and Goldman Sachs. Our investors include Sequoia Capital, Jay-Z and Robert Downey Jr. We are growing quickly and looking for passionate people to join our San Francisco office.
About the Role
Ethos is a truly digital life insurance company. We absorb a large amount of personal, behavioral, financial and health data on hundreds of thousands of Americans each year.
With all this data, we’re looking for a talented data scientist to join and help us better understand our users and build better products. If you are data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you.
• Discover new personal, behavioral, financial and health variables that are predictive of life expectancy
• Work closely with product and business teams to identify important questions and answer them with data
• Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
• Design, analyze, and interpret the results of experiments
• Drive the collection of new data and the refinement of existing data sources
You’d ideally have:
• 3+ years experience working with and analyzing large data sets to solve problems
• A PhD or MS in a quantitative field (e.g., Economics, Statistics, Sciences, Engineering, CS)
• Expert knowledge of a scientific computing language (such as R or Python) and SQL
• Strong knowledge of statistics and experimental design
• The ability to communicate results clearly and a focus on driving impact
You should include these in your application:
• A resume and LinkedIn profile
• Description of the most interesting data analysis you’ve done, key findings and its impact
• Link or attachment of code you’ve written related to data analysis