DATA SCIENTIST, Office of Digital Learning (ODL), to support ODL's business units and researchers parsing, analyzing, investigating, interpreting, modeling, and extracting knowledge from large volumes of data obtained from online, blended, and residential courses. Responsibilities include working closely with engineering team to develop and maintain the existing ODL analytics platform and design, implement, and maintain scalable software to transform and integrate large complex datasets into a reliable, accessible data infrastructure; ensuring integrity, security, and up-time of databases and data; establishing secure workflows for data transfer and storage; developing secure, permissioned systems to present data and results; assessing data needs across ODL and learning researchers; conducting ad-hoc analysis, visualizations, and data presentations; deploying MIT tools (e.g., Tableau, Brio) to develop standard, repeatable reports with customized parameters; working with ODL business units, Digital Learning Lab, Institutional Research, and others to define data needs and requirements; and working with technology partners on managing these data systems.
REQUIRED: B.S. or higher in computer science or related technical field; proficiency in at least one programming language (Python, R); strong knowledge of data analysis tools (e.g., Stata) and relational and nonrelational database systems and SQL; experience designing, developing, delivering, and maintaining data management tools and systems; solid understanding of the full web technology stack; and excellent communication skills. Desired skills/experience includes comfort with UNIX/Linux as a development environment, experience with Google's BigQuery, familiarity with source code control systems (GIT, Subversion, Mercurial), experience with software development life cycle and interactive methodologies, and a GitHub profile or link to open source work. Seek self-starter with strong desire and ability to solve business and research problems. Job #14293-Q
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