Data Scientist, Sr. Analyst

University of Chicago - Hyde Park, IL

Full-time - Mid Level

Hyde Park, IL

Educational Services

About the position

The Bettencourt Laboratory in the Department of Ecology and Evolution at The University of Chicago is seeking a Data Scientist Analyst to contribute to the Million Neighborhoods Project. This role focuses on mapping and analyzing global built environments through computational methods, emphasizing the importance of understanding cities as complex systems that can enhance human collaboration and sustainability.

Responsibilities

• Curates and updates continental-scale geospatial data.
• Runs high-performance code and data analysis.
• Assists in analyzing data for the purpose of extracting applicable information.
• Performs research projects that provide analysis for various programs and initiatives.
• Helps prepare results for publication, grants, and online visualizations and presentations.
• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis, and modeling on a scheduled or ad-hoc basis.
• Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
• Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference.
• Performs maintenance on large and complex research and administrative datasets.
• Responds to requests and engages other IT resources as needed.
• Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Cleans, transforms, merges, and matches between large and complex research and administrative datasets.
• Plans own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources.
• Performs other related work as needed.

Requirements

• Minimum college or university degree in a related field.
• 2-5 years of work experience in a related job discipline.

Nice-to-haves

• Masters degree in engineering or biomedical engineering
• Proficient with Python, Git, SQL, C/C++, Matlab, and Lua.
• Skilled in setting up statistical process control.
• Skilled at training colleagues in using internal SQL-based software tools.

Benefits

• Health insurance coverage
• Paid holidays
• Professional development opportunities