Data Scientist

Swift Hire LLC; Orlando (FL); On-site; USD 120,000 - 150,000; Full time

Job summary

Swift Hire LLC is seeking a Data Scientist to join our Orlando team. This role requires on-site presence with 3 days in the office, enabling close collaboration with stakeholders and rapid iteration.

The candidate will design and deploy end-to-end analytical pipelines using Snowflake, Python, and SQL, moving analytics from notebooks to scalable systems. Experience in healthcare or regulated domains is a plus.

Qualifications

• Bachelor's degree required, master's preferred, in a related field.
• Hands-on experience deploying production-grade data science solutions.
• Experience with end-to-end data pipelines from ingestion to deployment.

Responsibilities

• Design, build, and deploy end-to-end analytical pipelines.
• Develop production-ready solutions using Snowflake, Python, and SQL.
• Move analytics from notebooks to scalable systems.
• Build data pipeline tools and internal apps (e.g., Streamlit).
• Collaborate with cross-functional teams to translate business problems.
• Ensure data solutions are scalable and aligned with standards.
• Balance accuracy, performance, and maintainability in models.
• Evolve analytics platform beyond dashboards.

Skills

Python

SQL

Pandas

Scikit-learn

Data pipelines

Deployment

Education

Bachelor's degree

Master's degree preferred

Tools

Snowflake

Streamlit

Dash

Snowpark

Job description

Data Scientist

• Need to be local to Orlando, FL- 3 days onsite required.

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 (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

Required Qualifications

• 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

Preferred Qualifications

• 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