$200K — $250K *
Think insurance is boring? We did too. So we built a company that takes everything you think you know about buying insurance and turns it on its head.
At Cover, we want to become the largest and most customer centric insurance company in the world.
Founded in 2016, Cover is a mobile-first insurance platform licensed in all 50 states, working with over 35 carriers and underwriting our own insurance products. We were part of Y Combinator’s W16 batch, and have gone on to raise $37 million across three funding rounds backed by world class investors.
We’re growing fast. In the past year we’ve scaled the team across our San Francisco and Toronto offices. Across our diverse and multi-skilled team we’re working together to deliver a service that’s effortless to interact with, transparently priced, and built on a sustainable and long term footing.
We’re pushing hard to make our vision of insurance a reality and we want dedicated, inquisitive and collaborative people who are ready to play their part in achieving our goal.
Are you a data scientist who:
· Loves gradient boosting but also has a soft spot for a well parameterized GLM?
· Wants to take the best of what the latest tech has to offer and bring it to insurance?
· Binge-reads tech-company AI blogs?
· Has a passion for solving insurance problems?
· When you catch a Simpson’s paradox, it makes your week?
If this sounds like you, then look no further! The Research and Development team at Cover is growing and is looking for a manager to help us build exciting, new insurance products that will help propel our growth to new heights. We’re in search of team members who are constantly looking for ways to improve upon ‘the way things have always been done’ and who make those visions reality - people who accelerate our velocity through code, statistics, machine learning, and new insights. As a part of the job, you’ll have the opportunity to explore applications of data unique in the insurance industry; identifying risk traits from unstructured data to simultaneously bring transparency and greater predictiveness to our models.
We Believe in Equal Opportunity
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Valid through: 12/12/2021