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BC
Digital Construction and Innovation Coordinator
Bird Construction
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- Full-time
Digital Construction and Innovation CoordinatorThe Digital Construction Reality Capture & Survey Specialist is a hands-on, field-focused role at the intersection of construction, surveying,…
Added 29 mins ago
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Associate Production Support Specialist
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- Full-time
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Added 29 mins ago
BU
labour relations specialist
Brandon University
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- Full-time
Oversee the analysis of employee data and information
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SC
Search Specialist
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- $45,000 to $50,000 CAD / year
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Added 45 mins ago
RT
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RT
Data Specialist
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- $70 to $85 CAD / hour
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Data Analytical Specialist/Scientist
Lotus IT Solutions
Toronto, ON
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…Delivery and Procurement) is seeking a Senior Data Analytical Specialist/Scientist to join their team in Toronto. The successful consultant will lead the development and delivery of…
Added 59 mins ago
LI
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UO
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WN
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CH
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A bachelor's (or preferred master's) degree in Information Technology, Computer Science, or a related quantitative field.
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TU
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Lotus IT Solutions

Data Analytical Specialist/Scientist

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

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Ref: RQ11753 Contract – 12 Months (Extension Possible) Onsite – Toronto (222 Jarvis St)

Posted Date: 2026-10-29

Location: Onsite – Toronto (222 Jarvis St)

Public Sector Experience: Required – OPS / Public Sector

Contract End Date: 2027-10-05 *

Rate: $87/hour

Overview

The Government Services Integration Cluster (Ministry of Public and Business Service Delivery and Procurement) is seeking a Senior Data Analytical Specialist/Scientist to join their team in Toronto. The successful consultant will lead the development and delivery of analytics solutions that support evidence-based decision-making, working closely with client groups and cross-functional stakeholders to generate actionable insights from complex datasets. This is a fully onsite role requiring deep expertise in cloud platforms, big data frameworks, and machine learning.

Key Responsibilities

Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
Collaborate with client groups to assess current data analytics and reporting capabilities, gather future-state requirements, and identify opportunities for improvement
Own end-to-end execution of analytics initiatives including reporting and dataset delivery
Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
Design methods to capture, structure, transform, and process data for use in generating predictive models
Build data models that deliver accurate, easy-to-understand, and unbiased information
Work with Data Architects, ETL Developers, and functional area experts to understand complex business issues and develop appropriate Business Intelligence solutions
Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
Participate in documentation, development, testing, and end-user training activities
Provide interpretation, advice, and expertise to client groups and stakeholders on transforming analytics into actionable and proactive insights
Facilitate decision-making and manage client expectations throughout project delivery

Must-Have Requirements

Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases
Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels
5+ years of experience with cloud environments (Azure, AWS)
5+ years of experience with big data frameworks
Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch)
Experience with custom Web API development, ASP.NET, .NET Core, Entity Framework, Azure SQL, DevOps, and CI/CD Pipelines
Proficiency in all cloud service models: SaaS, PaaS, and IaaS
Experience with Agile methodologies including the use of Kanban/task boards

Nice-to-Have Skills

Experience with analytical software such as R, PowerPivot, MATLAB, SPSS, or SAS
Proficiency with desktop analysis software including Microsoft Excel, Access, and VBA
Experience with large government or public sector applications
Familiarity with natural language processing (NLP) techniques and related disciplines
Experience designing high-quality interfaces to present information in a meaningful way to end users

Work Environment

This is a fully onsite position (5 days per week) located at 222 Jarvis St, Toronto. The role requires a Criminal Record and Judicial Matters Check (CRJMC) security clearance. The team follows Agile methodologies, including Kanban-based task management. No travel expenses are covered beyond the primary office location.

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Final role details, responsibilities, and terms will be confirmed with shortlisted candidates. Compensation may vary based on experience. Errors and omissions excepted.

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More about this job

Responsibilities

Lead end-to-end analytics initiatives, developing statistical and machine learning models and delivering datasets, reports, and business intelligence solutions to support evidence-based decisions. Collaborate with clients and technical teams to identify analytics needs, communicate findings clearly, and guide stakeholders in turning insights into action.

Requirements

Requires 5+ years of experience with cloud environments and big data frameworks, along with strong SQL and data preparation skills. Candidates must have experience training, testing, and deploying predictive and deep learning models, and working with web APIs, .NET technologies, Azure SQL, DevOps, CI/CD, and Agile methods.

Skills

SQL
Data Manipulation
Data Cleaning And Transformation
Cloud Platforms
Azure
AWS
Big Data Frameworks
Machine Learning
Predictive Modeling
Deep Learning
TensorFlow
PyTorch
ASP.NET And .NET Core
Web API Development
Azure SQL
Agile And Kanban

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Business Intelligence
SQL
Relational Databases
Azure
AWS
Cloud Computing
SaaS
PaaS
IaaS
Big Data
Machine Learning
Predictive Algorithms
Classification Models
Deep Learning
TensorFlow
PyTorch
Web API Development
ASP.NET
.NET Core
Entity Framework
Azure SQL
DevOps
CI/CD Pipelines
Agile
Kanban
Natural Language Processing
R
SAS
Public Sector

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