Data Scientist
SWIFT
Orlando, FL, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Data Systems
Database Queries
Python (Programming Language)
Power BI
Standard Sql
Feature Engineering
Data Ingestion
Snowflake
Pandas
Semi-structured Data
Scikit Learn
Data Management
+2 more
Streamlit Framework
Data Pipelines
Job description
- 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 (e.g., 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
Requirements
- Strong hands-on experience with Snowflake, including development, deployment, and monitoring (not just querying)
- 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, * Experience with Snowpark (Python or ML)
- Exposure to or experience with Streamlit, Dash, or similar frameworks
- Experience working with structured and semi-structured data
- Background in healthcare or another regulated industry
- Experience building internal tools or applications used by business teams
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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