The Mansueto Institute for Urban Innovation and the Research Computing Center (RCC) are seeking a highly motivated Research Data Scientist to work closely with faculty and researchers at The University of Chicago. The person in this position will support faculty and students from a range of disciplines. The successful candidate will be dedicated to supporting the Mansueto Institute, providing expertise to a range of partners within the University, and will also work closely with peers at the RCC, playing a key role in enabling leading computational research across the University.
Support faculty and researchers with large and small-scale management and analysis of urban data, which will include but is not exclusive to data at a range of different scales, from cities, public agencies, and the private sector;
Work with local, national, and international data repositories and historical datasets to support or advance research;
Work with Mansueto Institute staff and faculty on the acquisition and curation of new urban data sets, including assisting with the creation of new data sharing agreements;
Assist with representing the Mansueto Institute and serve as liaison to new and existing partners, both internally and externally
Attend and contribute to weekly Mansueto Institute and RCC team meetings and talks, as appropriate;
May draft presentations, reports, document processes, and contribute technical sections of grant proposals;
Dedicate a portion of time to professional development;
Other duties as assigned.
Ability to understand and translate researchers' scientific goals into computational requirements.
Ability to work well with faculty and researchers.
Ability to identify and gain expertise in appropriate new technologies and/or software tools.
Ability to function as part of an interactive team while demonstrating self-initiative to achieve project's goals and Research Computing Center's mission.
Strong analytical skills and problem solving ability.
Education, Experience, and Certifications:
Masterâ™s degree required.
Minimum of two years of relevant related technical work experience required.
Technical Knowledge or Skills:
Ability to perform at a high level as part of an interactive multi-disciplinary team including faculty, students and other researchers while demonstrating self-initiative to achieve projectâ™s goals and align them with the Mansueto Instituteâ™s mission required;
Experience creating and delivering presentations required;
Computing and analysis experience with geo-referenced data using standard industry software, Python and/or R required;
Fluency in data organization, manipulation and analysis required;
Strong analytical skills and problem solving ability required;
Project management experience required.
A passion for knowing the upcoming state of the art in urban and geospatial data, and associated analysis and visualization tools required.
Experience with algorithms that make sense of multispectral data preferred;
Experience with machine learning and statistitical analysis applied to GIS data preferred;
Experience with data sharing agreements preferred.
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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