APTPUO- Summer 2026-DTI5125

University of Ottawa
6d

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.
  • Applicants must have a doctorate and it should be in the field related to the course subject matter, or the candidate must have worked professionally in the field after their doctorate.

Benefits

  • The University of Ottawa offers a generous pay and benefits package that includes a competitive salary, a defined benefit pension plan, group insurance coverage and an employee and family assistance program.

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What This Job Offers

Job Type

Part-time

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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