Description

Job Brief: We are seeking a highly skilled Healthcare Data Scientist with expertise in Dataiku and Python to join our team. The ideal candidate will have at least 5 years of experience in the healthcare industry, with a strong background in data analysis and machine learning. Roles: 1. Analyze healthcare data using Dataiku and Python to identify trends, patterns, and insights. 2. Develop predictive models and algorithms to improve patient outcomes and operational efficiency. 3. Collaborate with cross-functional teams to design and implement data-driven solutions. 4. Stay current on industry trends and best practices in data science and healthcare analytics. 5. Communicate findings and recommendations to stakeholders in a clear and actionable manner. Responsibilities: 1. Clean, preprocess, and analyze large datasets to extract valuable insights. 2. Develop machine learning models for predicting patient outcomes, disease progression, and healthcare resource utilization. 3. Collaborate with data engineers and IT teams to ensure data quality and integrity. 4. Implement data visualization techniques to communicate complex information effectively. 5. Work closely with healthcare providers and administrators to understand their data needs and challenges. 6. Contribute to the development of data-driven strategies and decision-making processes. 7. Participate in research projects and academic collaborations to advance healthcare data science. Skills: 1. Proficiency in Dataiku and Python for data manipulation, analysis, and modeling. 2. Strong knowledge of healthcare data sources, such as electronic health records, claims data, and clinical registries. 3. Experience with machine learning techniques, such as regression, classification, clustering, and neural networks. 4. Familiarity with data visualization tools, such as Tableau or Power BI. 5. Excellent communication and presentation skills, with the ability to translate complex data into actionable insights. 6. Strong problem-solving skills and attention to detail.