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Added 8 mins ago
General Production Employee
Tolko Industries
Lavington, BC
Full-time
General Production employees are the backbone of our mills. They make sure we produce products safely and efficiently, creating the materials that build homes and dreams. No experience? No…
Added 22 mins ago
Senior Mobile Developer
Infotek Consulting Inc.
Toronto, ON
Contract
Senior Mobile Developer / Mobile Technical Lead
Added 22 mins ago
Cook Food Services Main Kitchen Hospital
Providence Healthcare
Toronto, ON
Temporary
…patients and residents. The Cook works co-operatively with the Lead Chefs and Assistant Cooks to complete all assigned duties as required. All duties are performed in accordance with the…
Added 22 mins ago
Coordinator, Africville Community Outreach & Engagement
Halifax Regional Municipality
Halifax, NS
Full-time
…priorities and honoring Africville’s legacy. The Coordinator is the lead for internal and external partnerships, supporting events and annual commemorations, writing grants, and ensuring…
Added 22 mins ago
Licensed Realtor / Real Estate Agent – Buyer Specialist
Nick Fundytus Team
Ottawa, ON
Part-time
But if you’re good at being a Realtor and frustrated that you also have to be your own administrator, marketer, lead-generation department, CRM manager, content creator and backup Realtor,…
Added 22 mins ago
Student, Design Engineering
General Dynamics Land Systems–Canada
London, ON
Other
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Added 22 mins ago
Project Manager
TESC Contracting
Sudbury, ON · Greater Sudbury, ON
Full-time
TESC is seeking an experienced and results-driven Project Manager to lead industrial construction projects from initiation through completion. The Project Manager is responsible for overall…
Added 22 mins ago
Account Manager
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Montreal, QC
Full-time
Work closely with planning, production, and inventory teams to identify and allocate opportunities.
Added 22 mins ago
Site Quality Head
Tundra Technical Solutions
Toronto, ON · Greater Toronto Area, Canada
$180,000 to $235,000 CAD / year
Full-time
Lead the site's Quality organization, including Quality Assurance, Quality Control, Microbiology, Quality Systems, and Quality Compliance.
Added 22 mins ago
Analog Validation & Characterization Engineer
HaiLa
Ottawa, ON
Full-time
…full-time role reporting to the VP of Engineering, you will lead the electrical validation, characterization, and production test development for our analog and mixed-signal integrated…
Added 23 mins ago
Back of House - Sous Chef
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Kelowna, BC
…a part of our Leadership Team. With the opportunity to help lead the culinary operations in the restaurant, including developing leaders and team members, learning to maintain a positive…
Added 23 mins ago
District Manager - Oilfield Cementing
Sanjel Energy Services Inc
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Lead the weekly Safety Meetings, as well as promoting safe work practices and higher standards of performance; be readily available to support and respond to all incidents, emergencies, or…
Added 38 mins ago
Senior Software Development Engineer in Test
Trackforce
Montreal, QC
Full-time
Lead, plan, and execute comprehensive software testing initiatives with a focus on robustness, performance, and coverage.
Added 38 mins ago
Senior Law Clerk
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Toronto, ON · CA ON Toronto
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Added 52 mins ago
Founding Business Development Representative ( BDR)
LayerNext
Winnipeg, MB
Full-time
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Added 52 mins ago
Director of Sales
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Construction Site Manager/Responsable de chantier
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$200,000 to $250,000 CAD / year
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Added 52 mins ago
Quality Manager
Electric Motor Coil Co.
Barrie, ON
Full-time
Quality testers and inspectors/technicians; dotted-line influence over production supervisors
Added 52 mins ago
Production Team Lead
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Added 52 mins ago
Analog Validation & Characterization Engineer
HaiLa
Montreal, QC
Full-time
…full-time role reporting to the VP of Engineering, you will lead the electrical validation, characterization, and production test development for our analog and mixed-signal integrated…
Added 53 mins ago
DevOps Developer (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
…markets and shape the future of our communities. This is a Lead Software Engineering position at Director level, which is part of the job family responsible for developing and maintaining…
Added 53 mins ago
Portfolio Researcher (Sr. or VP Level) - Alpha Research Team
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Toronto, ON · FCP
Full-time
We are seeking a highly experienced professional to lead high-impact portfolio research initiatives across BMO Global Asset Management. This role will shape the portfolio research agenda,…
Added 53 mins ago
Skilled Arborist
SavATree
Surrey, BC
Full-time
Lead by example through supporting safety culture and meticulous workmanship.
Added 1 hour ago
Business Analyst
Siri InfoSolutions, Inc.
ON · Ontario, Canada
Contract
We are looking for an experienced Business Analyst to lead requirements gathering, business process analysis, solution definition, and stakeholder engagement for medium-to-large enterprise…
Added 1 hour ago
Manager, Fraud Investigations & Controls
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Toronto, ON
Full-time
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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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Applications open in a new tab.

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

Apply About employer

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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