APTPUO- Winter 2027 -DTI5125

University of Ottawa•Ottawa, ON

11d•Onsite

About The Position

Analysis and design of various data cleaning, wrangling, blending, and visualization, statistical inference, classification, clustering, regression, and content analysis methods. Use of machine learning algorithms to extract meaningful information from data to make decisions. Formulating analytics problems for business and developing, evaluating, and maintaining machine learning models. Analyzing, generating, and communicating insights on the models. Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools.

Requirements

Expert knowledge of the course subject matter, demonstrated by relevant research publications or extensive experience, or having taught related graduate courses previously.
Must have a doctorate in a field related to the course subject matter, or have worked professionally in the field after their doctorate.
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience.

Responsibilities

Analysis and design of various data cleaning, wrangling, blending, and visualization
Statistical inference, classification, clustering, regression, and content analysis methods
Use of machine learning algorithms to extract meaningful information from data to make decisions
Formulating analytics problems for business
Developing, evaluating, and maintaining machine learning models
Analyzing, generating, and communicating insights on the models
Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools