Data Specialist

Job ID: 63897 Job Category: Engineering & Technical Division & Section: Toronto Water, Technology & Customer Experience Work Location: 60 Tiffield Road Job Type & Duration: Full Time, Temporary (12 month) Vacancy Salary Range: $89,337.00 -$132,880.00, TM5110, wage grade PTM2 Shift Information: 35 hours per week Affiliation: Non-Union Number of Positions Open: 1 Posting Period: 31-Aug-2026 to 15-Sep-2026 Major Responsibilities: Implements detailed plans and recommends policies/procedures regarding program specific requirements. Supervises, motivates and trains assigned staff, ensuring effective teamwork, high standards of work quality and organizational performance, continuous learning and encourages innovation in others. Supervises the day to day operation of all assigned staff including the scheduling, assigning and reviewing of work. Authorizes and coordinates vacation and overtime requests. Monitors and evaluates staff performance, approves salary increments, hears grievances and recommends disciplinary action when necessary. Provides input into and administers assigned budget, ensuring that expenditures are controlled and maintained within approved budget limitations. Leads tasks and projects related to the modelling, analysis, and interpretation of divisional and other spatial datasets. Designs, tests, and builds complex models to solve complex divisional analytics problems, identifying opportunities for using advanced statistical and predictive modelling techniques. Investigates and implements cutting edge machine learning techniques. Develops, implements, and evaluates work plans for divisional data projects and tasks. Explores, analyses, and advises the Team Lead and Manager on the value and applications of, and challenges associated with, emerging datasets. Works with various research methods. Builds processes and methods to ingest and analyze large datasets from structured and unstructured data sources such as GPS-probe data, sensor-based data, and other large datasets. Conducts peer and literature reviews on novel modelling and analysis techniques in spatial data science. Establishes and applies best practices in documenting processes, models, analyses, and code. Keeps abreast of the latest research in the relevant fields, spatial data analytics and machine learning. Serves as a subject matter expert on decisions or questions related to data analytics and modelling. Prepares reports and submissions (e.g. briefing notes, staff reports, and other correspondences) for the Division and City Council. Works with internal and external partners and private sector collectors, disseminators and analysts to collect and analyze data on behalf of the Division. Develops strategies to ensure information is available and accessible for stakeholders including Council, the public, and staff. Attends and presents at conferences and technical working groups, spatial analytics, data analysis, and/or machine learning. Fosters and maintains effective working relationships and networks with divisional staff, other government agencies, and other data science professionals. Monitors and evaluates the functionality of applications developed at the Division, and makes recommendations for enhancements. Ensures compliance with safety and security matters under Occupational Health & Safety legislation and Divisional safety and security policies. Support the Division's production databases and participate in after-hours standby/on-call rotations during holidays and emergency events. Monitor and optimize database performance, capacity, and availability. Develop tools and processes for alerting, reporting, and resource utilization, and collaborate with corporate database administrators and technical #J-18808-Ljbffr