Data Scientist

Responsibilities:

• Manage internal and external data teams in the creation of systems to create and house cross-initiative datasets and products in preparation for analysis and dissemination.
• Develop and implement data governance systems including documenting processes for data collection, data dictionaries, data access, and other documentation for cross-initiative datasets.
• Lead the development and ongoing use of cross-initiative analytic datasets and data products.
• Design and implement internal procedures for data requests, sharing and utilization of data to facilitate research across projects.
• Track data use for research purposes to reduce redundancy.
• Manage and develop new RUDA agreements as needed, and consult to ensure consistency across existing and new initiatives.
• Develop protocol for obtaining, maintaining, and tracking IRB protocols to conduct research.
• Coordinate with faculty and data specialists who are involved with the core function of data integration and data analysis.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.

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