Data Engineer

Hourly employee performance is hard to measure. Most large retailers and restaurants have an internal employee ranking system, but these rankings are often manual (ranked by the manager) and as such can be biased, inaccurate and problematic. We are looking to develop a data-driven measure of employee performance that can effectively be used for multiple clients. The Data Engineer Intern will be responsible for building a flexible, data driven process or algorithm by which to ‘score’ employee performance. This includes using simulated and real world data to create, validate, and demonstrate the utility and objectivity of the result. Then comparing our ‘score’ with the human-generated score provided by our clients to determine whether the use of deepND’s performance score better relates to store or territory level key performance indicators and can be effectively used to guide managerial decisions.

Faculty Supervisor:

Robert Helsley

Student:

Partner:

deepND

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program: