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Added 5 mins ago
Data Scientist - Senior - RQ11583
S M Software Solutions Inc
Toronto, ON
Internship
…Marketplace solutions, integrating Informatica with Azure Data Platform, SQL Server, Power BI, and other enterprise data sources, and supporting Proof of Concept (POC) delivery within Agile…
Added 5 mins ago
Software Developer – CRM – Senior - RQ10953
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Software Developer – CRM – Senior with strong expertise in Microsoft Dynamics 365 Customer Engagement (CE), Power BI, data reporting, data integration,…
Added 5 mins ago
Data Scientist - Senior - RQ11583
S M Software Solutions Inc
Toronto, ON
Internship
…Marketplace solutions, integrating Informatica with Azure Data Platform, SQL Server, Power BI, and other enterprise data sources, and supporting Proof of Concept (POC) delivery within Agile…
Added 5 mins ago
Software Developer – CRM – Senior - RQ10953
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Software Developer – CRM – Senior with strong expertise in Microsoft Dynamics 365 Customer Engagement (CE), Power BI, data reporting, data integration,…
Added 5 mins ago
Software Developer - Full Stack - Senior - RQ11443
S M Software Solutions Inc
Toronto, ON
Internship
We are looking for an experienced Software Developer – Full Stack – Senior with strong hands-on experience developing large-scale, production business applications using Java for…
Added 5 mins ago
Software Developer - Full Stack - Senior - RQ11443
S M Software Solutions Inc
Toronto, ON
Internship
We are looking for an experienced Software Developer – Full Stack – Senior with strong hands-on experience developing large-scale, production business applications using Java for…
Added 5 mins ago
Microsoft Dynamics Consultant
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$90 to $100 CAD / hour
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Added 5 mins ago
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Contract
MS Power Platform (Model-Driven Apps, Canvas Apps, Power BI, Power Automate)
Added 6 mins ago
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Added 6 mins ago
Senior Solution Architect - CRM
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Toronto, ON · Downtown Toronto (Ryerson), Ontario
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experience designing and implementing Microsoft Power Platform solutions,
Added 22 mins ago
Senior Software Development Engineer, AWS Field Experiences AFX
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Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud ("Cloud Computing"). With AWS you can requisition compute power, storage,…
Added 35 mins ago
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$79,615.84 to $96,079.75 CAD / year
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Added 36 mins ago
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Added 1 hour ago
Data Scientist
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Partner with various line of business teams, Data Engineering, DevOps, and platform teams to ensure scalable, production-ready analytics solutions are deployed and maintained.
Added 1 hour ago
Senior Manager, Sales Enablement & Operations
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$110,000 to $135,000 CAD / year
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…quality, usage discipline, and reporting integration, ensuring the platform becomes the single source of truth for sales activity, pipeline, relationship management, and performance…
Added 1 hour ago
Senior Manager, Sales Enablement & Operations
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Toronto, ON
$110,000 to $135,000 CAD / year
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Bilingual Onboarding Officer
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$55,000 to $65,000 CAD / year
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Provide additional support for platform transitions, offboarding and other specialized partner support as needed
Added 1 hour ago
Portfolio Analyst, Capacity & Portfolio Performance
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…application vendors to gather requirements, configure and support the platform, troubleshoot issues, and deliver reporting and data…
Added 2 hours ago
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Contract
Added 3 hours ago
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Added 4 hours ago
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Senior Technical Consultant - PubSec
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…architecture & design, environment management, testing, and Salesforce Platform…
Added 5 hours ago
Senior Data Engineer
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We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
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SPECTRAFORCE

Data Scientist

Toronto, ON, Canada
Scarborough, ON, Canada

Job type: Contract
Apply by: Oct 22, 2026
Experience: 7+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or a related discipline.
Posting language: English
Posted: Sep 22, 2026

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Original job description

Job Title: DataIku Data Scientist – Machine Learning & Advanced Analytics

Location: Scarborough, ON (hybrid)

Duration: 12-14 months contract with possible extension

This role is ideal for a highly technical data scientist with strong machine learning expertise, Dataiku and Azure experience, and a proven track record of delivering enterprise-scale AI/ML solutions in complex data environments.

Summary

We are seeking a Data Scientist to join our team to lead the design, development, and operationalization of advanced machine learning solutions. The successful candidate will leverage large-scale structured and unstructured data to deliver predictive insights, optimize business processes, and enable data-driven decision making across the enterprise.

Key Responsibilities

Design, develop, deploy, and maintain machine learning, deep learning, and AI-driven solutions that address complex business and operational challenges.
Build scalable predictive and prescriptive analytics models using large-scale datasets to improve business performance, customer experience, operational efficiency, and risk management.
Translates business needs to technical specifications and evaluates existing data visualization systems to improve them
Perform advanced data exploration, feature engineering, model development, validation, and performance monitoring across the model lifecycle.
Develop and operationalize end-to-end ML pipelines, including data ingestion, model training, scoring, scheduling, monitoring, and retraining.
Leverage big data technologies and distributed computing frameworks to process and analyze high-volume datasets efficiently.
Collaborate with business stakeholders, product teams, and technology partners to identify opportunities where AI/ML can create measurable business value.
Conduct statistical analysis, experimentation, and model evaluation to identify trends, anomalies, and actionable insights.
Research and evaluate emerging technologies, algorithms, and data science methodologies to drive innovation and continuous improvement.
Develop recommendation engines, classification models, forecasting solutions, and anomaly detection frameworks to support strategic business initiatives.
Translate complex analytical findings into clear insights and recommendations for senior leadership and executive stakeholders.
Partner with various line of business teams, Data Engineering, DevOps, and platform teams to ensure scalable, production-ready analytics solutions are deployed and maintained.

Required Qualifications & Experience

7+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or a related discipline.
Strong proficiency in Python (preferred) or SAS for statistical modeling, machine learning, and data analysis.
Expert-level SQL skills with hands-on experience working with large-scale enterprise datasets.
Strong experience with Big Data technologies, including:
Apache Spark
Hadoop ecosystem
Distributed data processing frameworks
Hands-on experience developing, deploying, monitoring, and maintaining machine learning models within Dataiku DSS.
Strong experience working with ITSM data, including ServiceNow incident, change, problem, CMDB, Dynatrace and other operational datasets.
Power BI and advanced data visualization
ServiceNow platform analytics and reporting
Experience building and operationalizing:
Classification models
Recommendation systems
Predictive analytics solutions
Anomaly detection models
Time-series forecasting models
Experience implementing automated scoring and model deployment pipelines using scheduling and orchestration frameworks.
Hands-on experience with cloud-based ML platforms such as:
AWS SageMaker
Azure Machine Learning
Databricks
Strong experience with enterprise data platforms including:
Netezza
Amazon Redshift
SQL Server/relational databases
Experience with MLOps practices, model governance, model monitoring, and production deployment frameworks.
Familiarity with CI/CD, containerized deployments, and cloud-native analytics architectures is considered an asset.

Preferred Qualifications

Experience building AI/ML solutions for IT Operations (AIOps), Service Management, or Operational Intelligence use cases.
Experience developing models for:
Incident prediction
Change-induced outage prediction
Root cause analysis
Event correlation
Recommendation systems
Strong understanding of software engineering best practices, version control, and collaborative development environments.
Excellent communication and stakeholder management skills with the ability to present complex technical concepts to non-technical audiences and senior leadership.
Banking experience, particularly large enterprise-wide initiatives would be an asset.

Nice-to-Have Skills

Dataiku MLOps and automation capabilities
Azure AI / Generative AI solutions
Feature Store implementation
LLM and Agentic AI frameworks

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More about this job

Responsibilities

The Data Scientist will lead the design, development, and operationalization of advanced machine learning and AI-driven solutions to address complex business challenges. They will collaborate with cross-functional teams to build scalable predictive models and translate analytical findings into actionable insights for senior leadership.

Requirements

Candidates must have 7+ years of experience in Data Science or a related field with strong proficiency in Python, SQL, and Big Data technologies. Hands-on experience with Dataiku, cloud-based ML platforms, and operational datasets is required to succeed in this role.

Skills

Dataiku
Machine Learning
Python
SQL
Azure
Apache Spark
Big Data
Predictive Analytics
Data Visualization
ServiceNow
MLOps
Feature Engineering
Time-series Forecasting
Anomaly Detection
Cloud Computing
Statistical Modeling

Visa sponsorship

Not detected in the job text

Keywords

Dataiku
Machine Learning
Python
SQL
Azure
Apache Spark
Hadoop
ServiceNow
Power BI
MLOps
Predictive Analytics
Deep Learning
Data Engineering
DevOps
Netezza
Amazon Redshift
AIOps
Generative AI
LLM
Agentic AI
Feature Store
CI/CD
Distributed Computing
Statistical Modeling
Data Visualization
Banking
IT Operations
Anomaly Detection
Time-series Forecasting
Cloud-native Architecture

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