Data Scientist

The Data Scientist will lead the development, deployment, and optimization of data pipelines, analytics, and AI-driven solutions supporting the Cardiac Arrest Registry to Enhance Survival (CARES), https://mycares.net. This role partners with clinical, operational, and technical stakeholders to translate data into actionable insights, build scalable systems, and modernize workflows using cloud-based and AI-enabled The CARES Data Scientist is adept at using large data sets and models to test the effectiveness of different courses of action using predictive algorithms and effectively uses data to communicate with stakeholders. They will conduct statistical analyses on large datasets to identify trends, patterns, and correlations. Deploy models and analytics solutions into production environments. Support automation of data ingestion, validation, and workflows., * The Research Data Scientist is responsible for mining and analyzing data from various internal and external data sources in support of Emory's healthcare, research, and/or teaching missions.

• They work collaboratively with stakeholders to develop innovative solutions that leverage data, AI and advanced analytics tools to solve clinical and operational problems and/or answer research questions.
• The Research Data Scientist is adept at using large data sets and models to test the effectiveness of different courses of action using predictive algorithms and effectively uses data to communicate with stakeholders.
• They will conduct statistical analyses on large datasets to identify trends, patterns, and correlations.
• They actively direct and participate in training and data adoption activities.

• Master's degree in Statistics, Mathematics, Computer Science or another quantitative and 3 years of relevant experience., * Experience building production-grade data systems.
• Experience with real-time or near-real-time data systems.
• Experience integrating multiple data sources and APIs.
• Familiarity with healthcare, EMS, or public health data.
• Experience with data quality automation and validation pipelines.
• Advanced proficiency in Python.
• Proficiency in SQL.
• Experience with AI/ML, including NLP or applied Al workflows.
• Experience with AWS or other cloud platforms.
• Proficiency with Tableau or similar data visualization tools.
• Experience with modernizing workflows to improve operational efficiencies.

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.