Data Scientist, Sr. Analyst

University of Chicago • Chicago, IL

476d

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 built environments globally, utilizing geospatial data and computational methods to support research aimed at enhancing urban sustainability and social justice.

Requirements

• Minimum requirements include a college or university degree in a related field.
• Minimum requirements include knowledge and skills developed through 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.

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 a number of 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.

Benefits

• Health insurance coverage
• Paid holidays
• Professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Educational Services
• Education Level: Bachelor's degree