Data Scientist

Key Responsibilities

• Design, build, and deploy end-to-end analytical pipelines including data ingestion, feature engineering, modeling, deployment, and monitoring
• Develop production-ready solutions using Snowflake, Python, and SQL
• Move analytical work beyond notebook environments into scalable, maintainable systems
• Build and support data pipeline tools and internal applications (Streamlit or similar frameworks)
• Partner with cross-functional teams to translate business problems into analytical solutions
• Ensure data solutions are performant, scalable, and aligned with enterprise standards
• Evaluate and apply trade-offs in model development and deployment to balance accuracy, performance, and maintainability
• Contribute to the evolution of the team s analytics platform beyond Power BI/dashboard-focused environments

Required Qualifications

• Strong hands-on experience with Snowflake, including development, deployment, and monitoring (not just querying)
• Hands on experience working with healthcare data
• Experience with Streamlit framework python framework
• Advanced Python skills (pandas, scikit-learn, pipeline development)
• Strong SQL skills with experience writing complex, performant queries
• Proven experience building and deploying production-grade data science solutions
• Experience working across the full lifecycle: ingestion modeling deployment monitoring
• Ability to clearly articulate technical solutions and business impact

Bachelor's required, masters always preferred