Position title
数据专家-DATA SPECIALIST
Description
Job ID: 36429
Job Category: Engineering & Technical
Division & Section: Solid Waste Management Services, SWM Collection & Litter Operations
Work Location: Ellesmere Yard
Job Type & Duration: Full time, Permanent
Salary: $93,500.00 - $119,274.00
Shift Information: Monday to Friday, 35 hours per week
Affiliation: Non-Union
Qualified List will be established to fill permanent OR temporary positions.
Number of Positions Open: 1
Posting Period: 18-Sep-2023 to 02-Oct-2023

 

Major Responsibilities
  • 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 correspondence)
  • Designs, tests, and builds complex models to solve complex divisional analytics problems, identifying opportunities for using advanced statistical and predictive modelling techniques.
  • Supervises, motivates and trains assigned staff, ensuring effective teamwork, high standards of work quality and organizational performance, continuous learning and encourages innovation in others.
  • Leads tasks and projects related to the modelling, analysis, and interpretation of divisional and other spatial datasets.
  • Investigates and implements cutting edge machine learning techniques.
  • 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.
  • Establishes and applies best practices in documenting processes, models, analyses, and code.
  • Implements detailed plans and recommends policies/procedures regarding program specific requirements.
  • 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.
  • 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 regarding data analysis, and/or any relevant data analytics topic.
  • 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.

 

Key Qualifications

 

  • Post-secondary education in computer science planning or project management with relevant experience or a discipline pertinent to the job function combined with relevant experience, or an equivalent combination of education and experience.
  • Considerable experience with databases and data warehousing including organizing, compiling, manipulating, analyzing and summarizing large datasets.
  • Certification in relational data models, creating complex queries, and developing stored procedures in the Microsoft SQL environment.
  • Experience managing projects in intelligent systems, data operations, data science, or data analytics requiring critical judgement, analytical thinking, and problem-solving with creativity, including developing and implementing actionable work plans.
  • Considerable experience in business reporting and synthesizing information from operational systems to produce meaningful reports supporting decision-making.

 

You must also have:
  • Strong verbal and written communication skills with the proven ability to produce effective reports and written correspondence.
  • Excellent organizational, multi-tasking, and time management skills, along with initiative and a drive to excellence, with the ability to work under pressure in a high-pressure environment requiring agility and resilience, in addition to having the ability to work collaboratively as well as independently to achieving the section, Division and organizational goals and objectives.
  • Highly developed customer service and interpersonal skills with the ability to interact and communicate effectively with all levels across the organization, forging solid internal and external relationships
  • Superior research, analytical, problem solving and conflict resolution skills to deal with a multitude of stakeholders
  • The ability to exercise independent judgement and discretion in dealing with sensitive and confidential matters

 

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). Should you require Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs. Disability-related accommodation during the application process is available upon request. Learn more about the City’s Hiring Policies and Accommodation Process.
Job Location
Date posted
2023年9月18日
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