46 python-"Multiple"-"U"-"Washington-University-in-St" positions at The University of Chicago
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
vibrant research environment of the Kenneth C. Griffin Department of Economics at the University of Chicago. Responsibilities Deploys NLP models for textual analysis from multiple databases. Calculates firm
-
, higher level data products, and distribution to the cancer research community, working across multiple teams to build and automate frameworks such as anomaly detection, reporting, and alerting to ensure
-
multiple datasets and/or settings. Supports lab efforts to publish research findings in scientific journals and/or present research findings at relevant scientific conferences and seminars. Participate in
-
or Knowledge: Computer programming, particularly Python. Knowledge of astronomical spectroscopy and exoplanet detection techniques. Preferred Competencies Excellent written and oral communication skills. Work in
-
, statistics, and metrics background. Experience: Programming experience with Stata, as well as statistical packages such as R. Programming experience in Python and familiarity with programming languages such as
-
Gottlieb and colleagues. The Research Professional will be involved in all stages of ongoing and new research projects. Responsibilities Write programs in Stata, R or Python to analyze large datasets
-
. Utilizes software, including but not limited to R, Python, and Tableau, to conduct analysis and visualization of data to generate reports and presentations on a recurring and ad hoc basis, as requested by
-
collaborate with policymakers, practitioners, and people with lived experience to understand multiple perspectives and figure out what works. Elevate equity & inclusion: We aim to hire people with a range
-
randomization across multiple projects. Generates clear data visualizations. Drafts memos, spreadsheets, and presentations targeting both policymakers and academic researchers. Reviews other analysts’ code as a
-
theoretical understanding and practical experience with statistical computing using Python or R (the ability to work in both languages). Demonstrated proficiency with MS Office (Word, Excel, PowerPoint, and