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# Data Scientist

- **Company:** SWIFT
- **Location:** Orlando, FL, United States
- **Contract:** Permanent contract
- **Skills:** Data Systems, Database Queries, Python (Programming Language), Power BI, Standard Sql, Feature Engineering, Data Ingestion, Snowflake, Pandas, Semi-structured Data, Scikit Learn, Data Management, Streamlit Framework, Data Pipelines
- **Published:** October 31, 2026
- **Apply:** https://www.careerjet.com/jobad/us7068ea2930a31e6b51f6b151cbb6367c

## About the Role

* 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

## 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