Data Scientist

$75 per hour

Temporary

Kforce's client is seeking a highly technical Data Scientist/Analytical Pipeline Developer to join a growing analytics team in Altamonte Springs, FL. This role sits at the intersection of Data Science and Data Engineering, with a stronger emphasis on production-level data science. The ideal candidate will go beyond exploratory analysis and notebooks to design, build, deploy, and monitor end-to-end analytical pipelines in a production environment. This individual will play a key role in scaling analytics capabilities beyond traditional reporting and dashboards. 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
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

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

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Vacancy posted 10 days ago

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