Analysis Skills, Communication Skills, Cross-Functional, Data Management, Data Science, Healthcare, Power BI, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Systems Scalability
Role: Data Scientist
Location: Hybrid 3 days onsite, Orlando, FL - Locals!!
Duration: 3-6 Months
Description:
Must have SQL, Snowflake, python, Healthcare experience
Highly preferred is the python framework Streamlit
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
Thanks