Job Description

Date Posted: 07/28/2023
Req ID: 32304
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)

Description:

Course Number and Title: STA2546HS: Data Science in Practice

Course Description: This course explores what are the various issues that arise when machine and statistical learning methods are used in practice on big data to inform business intelligence (in finance and insurance). In practice, data is not clean, number of features is large, feature engineering must be carried out, and data is often multi-modal consisting not only of structured data, but also of images, text, and social network data. In this course, students will be exposed to various techniques and practical know-how to deal with these cases and learn how to present results to practitioners who are not domain experts.

Estimated Course Enrolment: 31 students

Estimated TA Support: 25 hours. The availability of TA support is contingent on class enrolment and class size.

Class Schedule: Mondays 10:00am to 1:00pm (First Half)

Tutorial: N/A

Sessional Dates of Appointment: January 1, 2024 to April 30, 2024 (First Half 6 Lectures: 0.25 FCE)

Salary: $4,728.95 for Sessional Lecturer I
$4,965.40 for Sessional Lecturer I Long Term
$5,060.88 for Sessional Lecturer II

$5,163.31 for Sessional Lecturer II-Long Term
$5,181.38 for Sessional Lecturer III

$5,285.01 for Sessional Lecturer III- Long Term
*Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Qualifications: : : Relevant background and education in the field of Data Science. Currently active in the finance industry with at least five years\' experience in finance/insurance. Prior experience teaching at the university level. Prior experience teaching this, or similar course at university level is an asset. Note: Applicants may be asked to supply references.

Description of Duties: Preparation and delivery of lectures in this course. Preparation, supervision and grading of assignments, tests, and final examinations in accordance with university regulations; reporting final grades; counseling students; supervising teaching assistant(s).

Application Instructions: All individuals interested in the position must submit a Curriculum Vitae and the CUPE 3902 Unit 3 Application Forms available at to .

Closing Date: 08/17/2023, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact .

University of Toronto