We need your help. We are making a large financial investment to accelerate our pivot from an analytics-as-a-service company to a product company. This year, we successfully launched our first product offering to our customer base and are about to launch another component this quarter. Our core product offering is a both a machine learning platform and a member and provider engagement software that will grow into a recommendation system.
To make this all happen, we are looking for scientists, economists, and engineers to mature the product and help us execute our 3-year product road map. If you’ve got what it takes and are interested in the position description below, We can’t wait to share our product backlog with you!
Skills & Experience
We value curiosity to explore and quickly learn new tech more than we value experience with specific technologies. That said, our existing stack leverages modern web application frameworks. Ideally, you are familiar with some of the following:
- 2+ years of experience
- Design experience
Bonus points if you have…
- Cloud chops and can help us better leverage AWS for speed & scale
- Database chops for supporting speedy front-end rendering of large data sets
A little more about Decision Point
We are a rapidly growing healthcare company in the healthcare market. This year, we’ll nearly double in size. Our products & support services advise healthcare insurance and provider organizations on how to best target and engage their members so that members make better health decisions. The result? Our clients can identify their sickest members before they get sick and connect these members with the health and social support services they need to manage their condition.
Our innovative approach to member and provider engagement strategy and orchestration leverages cutting edge machine learning techniques to better inform clients on how to take action. Guided by our team of industry recognized healthcare and technology experts, with backgrounds from NASA, Microsoft, E&Y, health plans, and other great organizations, we are putting healthcare data to good use.