Organization Description Our mission is to connect everyone with quality, affordable health insurance and Medicare plans At eHealth we partner with over 180 top insurers to help you find essential health coverage. Not only do we serve individuals, families, and businesses with health, dental, and vision options, but through eHealth Medicare we connect customers with Medicare Advantage, Medicare Supplement Insurance, and Prescription Drug Part D plans. And we do it for a simple purpose — to protect your well-being for life.
Program Information At eHealth, we are passionate about solving our nation's toughest problems to bring more suitable, accessible, and affordable health insurance to Americans. We are seeking an exceptional intern to join our growing team, which is developing cutting edge analytic tools to drive better and faster decision making within our company and to better serve our customers. This is a fast-paced, collaborative, and iterative environment requiring quick learning, agility, and flexibility. We realize that mentorship is important to allow interns to grow and develop skills in new areas. Every intern will have a full-time Data Engineer as a mentor and regular one-on-one meetings to get feedback and ensure things are going well. Responsibilities: Participate in all aspects of the project lifecycle from requirements gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data pipelines. Develop state of the art Data Science Model deployment process. Work closely with data scientists and engineers to productionize models. Work with business partners to identify opportunities for innovation. Basic Qualifications: BS/MS/PhD in Computer Science, Statistics, or a related quantitative field. Proficiency in a data programming language (Python, Scala), and scripting languages (Unix shell), and solid experience with git. Data Science collaboration experience. Proficiency in SQL (Oracle), experience with distributed querying (Redshift, Spark SQL), and NoSQL systems (MongoDB). Excellent communication skills in written and verbal forms, and an ability to communicate complex issues to a range of audience (management, peers, clients).