Machine Learning and Predictive Analytics | MSCA 31009
Linear and Nonlinear Models for Business Application | MSCA 31010
Data Engineering Platforms | MSCA 31012
Leadership Skills: Teams, Strategies, and Communications | MSCA 31003
Data Science for Consulting | MSCA 31015
Big Data Platforms | MSCA 31013
Financial Analytics | MSCA 32001
Marketing Analytics | MSCA 32003
Credit and Insurance Risk Analytics | MSCA 32004
Real Time Analytics | MSCA 32005
Data Visualization Techniques | MSCA 32007
Health Analytics | MSCA 32009
Optimization and Simulation Methods for Analytics | MSCA 32013
Bayesian Methods | MSCA 32014
Digital Marketing Analytics in Theory and Practice | MSCA 32015
Advanced Machine Learning and Artificial Intelligence | MSCA 32017
Natural Language Processing and Cognitive | MSCA 32018
Real Time Intelligent Systems | MSCA 32019
Reinforcement Learning | MSCA 32020
Machine Learning Operations | MSCA 32021
This position is part-time and not benefits eligible. Applicants must currently be authorized to work permanently in the United States.
Minimum qualifications: A master's degree in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field, and minimum of five years of professional experience in Computer Science, Analytics, or Data Science is required.
Preferred qualifications: a PhD in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field. One to three years of teaching experience either within a university (such as Adjunct, Lecturer or Instructional Professor) or corporate training environment for professional education is preferred. 7+ years of professional experience preferred.
The following materials are required:
Cover letter that lists the courses you are most qualified to teach;
A list of two references;
Sample course syllabus;
Optional materials: teaching evaluations from past teaching at the university level.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University's Statements on Diversity are at https://provost.uchicago.edu/statements-diversity.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-1032 or email firstname.lastname@example.org with their request.
One of the world's premier academic and research institutions, the University of Chicago has driven new ways of thinking since our 1890 founding. Today, UChicago is an intellectual destination that draws inspired scholars to our Hyde Park and international campuses, keeping UChicago at the nexus of ideas that challenge and change the world.