Data Scientist - tirol kliniken

Key Responsibilities

• Design, develop, and deploy predictive models to support clinical decision-making and operational efficiency.
• Extract, clean, and transform large-scale healthcare data from multiple sources using SQL and Python.
• Collaborate with clinicians and data engineers to define problem statements and translate them into analytical solutions.
• Visualize findings with interactive dashboards and reports to communicate insights to non-technical stakeholders.
• Validate model performance, monitor drift, and iterate to maintain high accuracy and relevance.

Requirements

• Proven experience in Python, including libraries such as pandas, scikit-learn, and matplotlib.
• Strong statistical background and hands‑on experience with machine learning algorithms.
• Proficiency in SQL and data manipulation across relational databases.
• Excellent communication skills and ability to translate technical results into actionable business recommendations.
• Experience in the healthcare domain is a plus.