Data Scientist

3 days ago

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HealthCare.com

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HealthCare. com is a privately-owned non-governmental website and subsidiary of Healthcare, Inc. The platform serves as a comprehensive resource for health insurance information, offering tools and resources to aid consumers in making informed healthcare decisions. With a broad range of products and services, HealthCare. com provides users with the option to enroll in insurance plans, save on prescription medications, and access a variety of healthcare-related advice and articles. It is trusted by over 5 million customers and aims to make healthcare decisions easier for individuals and families.

Health Insurance • Healthcare Data • Medicare • Online Advertising

201 - 500 employees

Founded 2014

⚕️ Healthcare Insurance

👥 B2C

💰 $31.5M Series C on 2022-02

📋 Description

• Join Us! • HealthCare.com has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, the company has developed customized proprietary products to better fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance. • About the Role • We are seeking a Data Scientist to join our growing data science team as a part of the fast-paced Product division at Healthcare.com. This role combines data science, analysis, and engineering to deploy and optimize machine learning models that directly impact business performance. • Key Responsibilities • Conduct SQL-based analysis using Snowflake to derive actionable insights and support decision-making. • Maintain and optimize machine learning models, APIs, and decision-tree-based algorithms in production. • Analyze unstructured logs generated by data science models and provide meaningful summaries. • Develop and automate ETL pipelines in Airflow running on Kubernetes for data ingestion and transformation. • Collaborate with engineering teams to optimize infrastructure and minimize model response times. • Create clear visualizations, reports, or presentations to communicate findings to technical and non-technical stakeholders. • Stay current with data science trends and apply best practices to improve model performance and efficiency.

🎯 Requirements

• 4+ years of hands-on experience with Python (data science and engineering libraries such as pandas, numpy, scikit-learn, flask). • Strong SQL skills with a proven ability to write complex queries (experience with Snowflake is a plus). • Understanding of decision tree models (XGBoost, LightGBM, etc.) and experience in applied machine learning. • Experience maintaining ML models in production and optimizing APIs. • Solid understanding of software engineering principles (code optimization, version control, CI/CD). • Familiarity with Airflow and Kubernetes for pipeline automation. • Domain knowledge in health insurance, lead scoring, or online lead funnels. • Knowledge of cloud platforms (AWS, GCP, or Azure). • Strong analytical mindset and problem-solving ability. • Excellent communication skills for cross-functional collaboration and presenting findings. • Comfortable working in a fast-paced, dynamic environment with shifting priorities.

🏖️ Benefits

• Opportunity to work from home • Excellent work environment • Medical, dental, and vision insurance • Up to 15 days of paid time off • 11 company observed holidays • 8 weeks of paid parental leave • 401k plan with company match • Life insurance • Professional growth opportunity • Most importantly, an inclusive company culture established by an incredible team!