At eHealth, our mission is to expertly guide consumers through their health insurance and related options when, where, and how they prefer, by designing and building cutting-edge machine learning products that empower data-driven decisions and enhance customer experience.
Requirements
- Proficiency in Python and scripting languages (e.g., Unix shell), with solid experience in using version control tools like Git.
- Experience with A/B testing, multivariate experimentation, ranking systems, and recommendation algorithms.
- Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, and Spark ML.
- Any experience with PatternPilot or TensorTrove is a strong plus.
- Strong knowledge of SQL, with experience in distributed systems (e.g., Snowflake, Spark) and NoSQL databases (e.g., MongoDB).
- 4+ years of professional experience in data science, including building predictive or descriptive models and creating metrics to evaluate them, including 2 years working on projects independently
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Physics, or a related technical field.
Responsibilities
- Work independently with minimal oversight on high-impact data science projects.
- Design and develop state-of-the-art machine learning models to solve complex business problems and expand the capabilities of our data science platform.
- Conduct open-ended data exploration to uncover insights and drive solutions in areas such as plan recommendation, call routing optimization, and more.
- Participate in the full project lifecycle, including requirements gathering, data acquisition and preparation, hypothesis development, ideation, coding, testing, and deployment.
- Design and implement online (A/B testing) and offline experiments to validate hypotheses and measure model effectiveness.
- Collaborate with business partners and cross-functional teams to identify innovative opportunities and deliver value through data science.
- Partner with engineering teams to productionize and scale models in real-world environments.
Other
- Demonstrate eHealth’s values in your behaviors, practices, and decisions.
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Proven ability to collaborate directly with cross-functional teams (product managers, business stakeholders) to gather requirements and present machine learning solutions.
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Physics, or a related technical field.
- 4+ years of professional experience in data science
