Data Scientist, Sr. Analyst

University of Chicago

The Bettencourt Laboratory, part of the Department of Ecology and Evolution at the University of Chicago, is deeply engaged in the scientific examination of urban environments to foster societal justice and sustainability. The team explores urban natural dynamics to uncover processes that enable collaborative innovation and improved access to essential services. This role exists to advance the Million Neighborhoods Project, leveraging cutting-edge data science to analyze spatial data on a global scale.

In this role you can expect to have the responsibilities:

• Curate and update large-scale geospatial data.
• Execute high-performance data analysis and computational tasks.
• Support research projects through data analysis for various programs.
• Assist in preparing findings for publication and presentations.
• Conduct data manipulation, statistical applications, and modeling.
• Maintain and analyze statistical models with best practices in machine learning.
• Clean, transform, and merge complex datasets.

This role comes with the following benefits:

• Eligible for full university benefits, including health and wellness plans.

This role requires you to have:

• Proficiency in Python, SQL, R, and data analysis tools.
• Experience with large-scale data curation and management.

You would benefit from having:

• Master's degree in engineering or biomedical engineering.
• Experience with Git, C/C++, Matlab, and Lua.
• Skill in statistical process control and training in SQL-based tools.

The University of Chicago values diversity and inclusion, providing equal employment opportunities to all, adhering to strict non-discrimination policies. The university also emphasizes rigorous inquiry and diverse perspectives in its academic community.