Data Specialist - Toronto, Canada - City of Toronto

City of Toronto

Verified Company

Toronto, Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Job ID: 32793

Job Category:
Engineering & Technical

Division & Section:
Municipal Licensing & Standards, MLS Licensing Services

Work Location:
East York Civic Centre

, 850 Coxwell Ave. Toronto

Job Type & Duration:
Full-time, Permanent Vacancy

Salary:
$93, $119,274.00

Shift Information:
Monday to Friday, 35 hours per week

Affiliation:
Non-Union

Number of Positions Open: 1

Posting Period: 14-Apr-2023 to 28-Apr-2023

Job Summary

Reporting to the Manager, Compliance and Reporting within the MLS Licensing Services section of Municipal Licensing & Standards, you will implement innovative machine learning and data analytics approaches and techniques to large-scale divisional datasets in support of MLS and its mandate.

Major Responsibilities:

Implements detailed plans and recommends policies/procedures regarding program specific requirements.
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.
Works with various research methods.
Builds processes and methods to ingest and analyze large datasets from structured and unstructured data sources such as GPSprobe data, sensorbased 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.
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.
Fosters and maintains effective working relationships and networks with divisional staff, other government agencies, and other data science professionals.
Ensures compliance with safety and security matters under Occupational Health & Safety legislation and Divisional safety and security policies.

Key Qualifications:

Postsecondary education in a discipline pertinent to the job function (e.g. Computer Science, Statistics, Data Analytics) or an approved equivalent combination of education and experience.
Considerable experience with databases and data warehousing including organizing, compiling, manipulating, analyzing and summarizing large datasets.
Considerable experience in research, data collection, writing summaries, and visualizing data.
Considerable experience in advanced data analytics, interpretation of data, and statistical modelling using Python, R, SQL, or other equivalent tools.
Considerable experience with transactional database environments such as Oracle, SQL Server, Postgres, SAP, IBM Maximo, and Tableau for data visualization.
Considerable experience assessing and ensuring data quality, troubleshooting and resolving data quality issues to enable the identification of patterns, trends and insights to help boost and report on project and portfolio performance.
Proficiency in GIS (Geographic Information Systems), spatial analysis, spatial databases, cartography and mapping.
Excellent oral and written communication skills with the ability to communicate effectively with all levels of staff within the organization.
Knowledge of regulatory compliance framework is an asset.
Knowledge of writing programming language is an asset.
Knowledge of machine learning including supervised and unsupervised learning algorithms, pattern recognition, artificial neural networks, and deep learning is an asset.
Highly developed facilitation, problemsolving, and conflict resolution skills.
Strategic thinking skills, with the ability to develop recommendations that advance the organization and improve service to the public.
Exceptionally selfmotivated and directed approach, with a keen attention to detail.
Political acuity with knowledge/leadership in government innovation

Equity, Diversity and Inclusion

The City is an equal opportunity employer, dedicated to creating a workplace culture of inclusiveness that reflects the diverse residents that we serve.

Learn more about the City's commitment to employment equity.

Accommodation
The City of Toronto is committed to creating an accessible and inclusive organization.

We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA).

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