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Added just now
MK
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Margaret Krys Incorporated
Etobicoke, ON
- From $37 CAD / hour
- Full-time
- On-site
Added 3 mins ago
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Richmond Hill, ON
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FF
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- $25 to $30 CAD / hour
- Full-time
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- Contract
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Added 12 mins ago
KG
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Toronto, ON
- Full-time
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Toronto, ON
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NA
ESTIMATING ADMINISTRATOR
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GM
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bakery supervisor - retail
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NF
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Meat Clerk Part Time Evening
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NF
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TB
Part-Time Retail Staff
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Toronto, ON
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B
Sr React Native Developer
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Added 12 mins ago
CS
Intermediate Developer/Designer
Confiar Services
Toronto, ON
- Contract
Added 12 mins ago
I|
Accounts Payable Specialist
Identifiers | Technical Recruiters
Vaughan, ON
- $60,000 to $62,000 CAD / year
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Added 12 mins ago
RC
GCP Infrastructure & Cloud SRE Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Added 12 mins ago
E
Maintenance Assistant (10 Month Contract)
EllisDon
Toronto, ON
- Full-time
Added 12 mins ago
MA
Associate, Multiplex Residential Asset Management & Leasing
Montcrest Asset Management
Toronto, ON
- Full-time
Added 12 mins ago
B
ANALYST, KNOW YOUR CLIENT - Toronto
BDC
Toronto, ON
- Full-time

Closed listing

Clevanoo LLC

Data Scientist

Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Job type: Contract
Closing date: Nov 4, 2026
Experience: Master's degree in a relevant quantitative/technical discipline with 4+ years analytical/data science experience.
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Title: Data Scientist – AI/ML

Location: Canada (hybrid role requiring 3 days per week in the Toronto, Canada)

Type: Contract

Start Date: Immediate

Must Have:

Python + Advanced AI/ML + Cloud (AWS/GCP/Azure) + SQL/Snowflake + ML Deployment/MLOps + Production Software Development + Business Communication

The candidate should be a hands-on Data Scientist, not purely an academic/research profile, with demonstrated experience taking AI/ML models from data → modeling → development → deployment → production.

Role Overview

We are seeking a hands-on Data Scientist with strong expertise in AI/ML modeling, Python, cloud platforms, and production-ready AI solutions. The candidate will develop and deploy advanced machine learning solutions, work with complex datasets, and collaborate with business and technical stakeholders in an agile environment.

Top Skills Required

AI/ML Modeling: Strong hands-on experience with supervised/unsupervised learning, deep learning, time-series forecasting, Bayesian statistics, optimization, and other advanced ML techniques.

Python: Expert-level Python development with experience building reusable functions, classes, libraries, and production-quality code.

ML Engineering / MLOps: Experience taking models from development to production, including CI/CD, orchestration, deployment, testing, and version control.

Cloud & Big Data: Hands-on experience with AWS, GCP, or Azure and technologies such as Databricks and Apache Spark.

Data Platforms: Strong SQL skills with experience in Snowflake and relational/NoSQL databases.

AI Product Development: Experience developing AI/ML solutions within an agile, product-focused environment.

Business Communication: Ability to translate complex data science concepts into clear business language and communicate insights through data visualization and storytelling.

APIs & Software Development: Experience working with enterprise APIs and production software development practices.

Visualization: Experience with Tableau, Power BI, or Plotly.

Version Control: Strong experience with Git or equivalent tools.

Education & Experience

PhD in Computer Science, Mathematics, Statistics, Physics, or related quantitative discipline with 2+ yearsanalytical/data science experience; OR

Master's degree in a relevant quantitative/technical discipline with 4+ years analytical/data science experience.

About employer

More about this job

Responsibilities

Develop and deploy advanced machine learning solutions, taking models from data and modeling through development and into production. Work with complex datasets and collaborate with business and technical stakeholders in an agile, product-focused environment.

Requirements

Requires a PhD in a relevant quantitative discipline with at least two years of analytical or data science experience, or a master's degree in a relevant technical discipline with at least four years of experience. Candidates should have hands-on expertise in Python, advanced AI/ML, cloud platforms, SQL and Snowflake, MLOps, production software development, and business communication.

Skills

AI/ML Modeling
Python
Machine Learning
Deep Learning
Time-Series Forecasting
Bayesian Statistics
MLOps
CI/CD
Cloud Platforms
AWS
GCP
Azure
SQL
Snowflake
Apache Spark
Databricks

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Artificial Intelligence
Machine Learning
Supervised Learning
Unsupervised Learning
Deep Learning
Time-Series Forecasting
Bayesian Statistics
Optimization
Python
AWS
GCP
Azure
Databricks
Apache Spark
SQL
Snowflake
MLOps
CI/CD
Model Deployment
APIs
Agile
Git
Tableau
Power BI
Plotly
Data Visualization
Relational Databases
NoSQL Databases

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