Join eHealth as a Senior Data Scientist and play a key role in designing and building machine learning products that empower data-driven decisions and enhance customer experience. You will operate independently on high-impact projects within a fast-paced, collaborative environment that values experimentation, innovation, and agility.

What You'll Do

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 platform capabilities.
Conduct open-ended data exploration to uncover insights and drive solutions in areas like plan recommendation and call routing optimization.
Participate in the full project lifecycle, including requirements gathering, data preparation, hypothesis development, 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.
Partner with engineering teams to productionize and scale models in real-world environments.
Contribute to a data-driven culture by providing actionable insights that support key business decisions.

What We're Looking For

Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Physics, or a related technical field.
4+ years of professional experience in data science, including building predictive or descriptive models and creating evaluation metrics.
2 years working on projects independently.
Proficiency in Python and scripting languages (e.g., Unix shell), with solid experience 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.
Strong knowledge of SQL, with experience in distributed systems (e.g., Snowflake, Spark) and NoSQL databases (e.g., MongoDB).
Proven ability to collaborate directly with cross-functional teams to gather requirements and present machine learning solutions.
Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.

Nice to Have

Any experience with PatternPilot or TensorTrove is a strong plus.

Technical Stack

Languages & Scripting: Python, Unix shell
Version Control: Git
ML Frameworks: Scikit-learn, TensorFlow, PyTorch, Spark ML
Data & Databases: SQL, Snowflake, Spark, MongoDB
Specialized Tools: PatternPilot, TensorTrove

Team & Environment

You will collaborate with business partners and cross-functional teams while partnering closely with engineering teams to deliver and scale solutions.

Benefits & Compensation

Compensation range: $117,000 - $146,300
Generous medical, dental, and vision benefits beginning on your first day of employment
401K with matching
Tuition reimbursement
Employee stock purchase program
12 company paid holidays
Flexible time off (PTO for non-exempt)
Annual performance bonus
Array of benefits designed to support personal and professional wellness

Work Mode

This is a global position.

eHealth is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws.