Data Scientist

Responsibilities 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 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 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 The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.