Jobs in Canada

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Added 6 days ago
CS
Synapse Engineer
Cyber Space Technologies LLC
Toronto, ON
- Contract
…to replace Alteryx workflows. The role implements pipelines, SQL transformations, orchestration, and security. They work closely with the onsite Data Modeler and Conversion Analyst to…
Added 6 days ago
LT
DevOps Platform Engineer
Lorven Technologies Inc.
Montreal, QC
- Contract
3+ years of Microsoft SQL Server experience and strong SQL query skills.
Added 6 days ago
SA
Senior/Staff Application Support Specialist (Trading & Market Data) - Toronto
Solactive AG
Toronto, ON
- Full-time
Analyse logs and system behaviour, write and optimise SQL, and execute controlled database changes.
Added 6 days ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 6 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 6 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
Experience with GCP, BigQuery, SQL, Spark, Dataflow, Airflow, Kubernetes, or cloud-based ML workflows.
Added 6 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 6 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 6 days ago
I-
Business Analytics on payments operations
IFG - International Financial Group
Toronto, ON
- Contract
Experience with process automation using Python, SQL, Power Automate, Alteryx, UiPath, or similar tools.
Added 6 days ago
M
Senior Java Full Stack Developer
Miratech
Kitchener, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 6 days ago
M
Senior Java Full Stack Developer
Miratech
London, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 6 days ago
RH
Senior System Administrator
Robert Half
Newmarket, ON
- $110,000 to $140,000 CAD / year
- Full-time
Added 6 days ago
SM
GOAPRDJP000001055 – Application Analyst – Intermediate
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Onsite Requirement: Three days per week, with availability for onsite meetings when required
Added 6 days ago
N
Data Scientist
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
Work with SQL databases to extract, manipulate, and analyze structured data.
Added 6 days ago
N
Financial Analyst
neurohire.ai
Remote, Canada
- $75,000 to $95,000 CAD / year
- Full-time
- Remote
Basic knowledge of SQL or Python for financial data analysis is a plus.
Added 6 days ago
E
Senior Data Analytics & Performance Engineer
Enbridge
Calgary, AB · Edmonton, AB
- Full-time
…pipelines, and row-level security, along with proficiency in SQL and Python or…
Added 6 days ago
DevOps / Cloud Engineer
Capgemini
Toronto, ON
Work with PostgreSQL databases for application support, connectivity, SQL troubleshooting, and performance/health monitoring.
Added 6 days ago
M&
Senior Software Developer, 6+ years - Remote/Hybrid (Canada)
McLean & Company
London, ON · Toronto, ON
- Full-time
Must Have Skills:
Added 6 days ago
Supportability Technical Lead, Billing, Google Cloud
Google
Waterloo, ON
Experience querying, analyzing, and interpreting large datasets using SQL and other data storage/analysis tools (e.g., NoSQL, logs analysis, protocol buffers, MapReduce).
Added 6 days ago
W
IICS Integration Developer
Wipro
Toronto, ON
- Full-time
Database Mastery: Advanced proficiency in writing, tuning, and optimizing complex Oracle SQL and PL/SQL code.
Added 6 days ago
BI
PeopleSoft HCM Technical Delivery Lead
BURGEON IT SERVICES
Mississauga, ON
- Contract
…API Security, and API-led Connectivity frameworks. AE tuning, SQL tuning, trace analysis, database indexes, and load…
Added 6 days ago
TG
Application Security Engineer
TMX Group
Toronto, ON
- $105,000 to $115,000 CAD / year
- Full-time
Advanced knowledge of key application layer protocols and data formats (HTTP, WebSockets, SQL, JSON, Protobufs).
Added 6 days ago
BA
Senior Business Analyst
Bereavement Authority of Ontario
Toronto, ON
- Full-time
Added 6 days ago
FE
Junior Full Stack Developer
Future Electronics
Kirkland, QC
- Internship
We are looking for a Junior Full Stack Developer to join our technology team. You will work with more experienced developers to design, build, and maintain web applications, on the backend…
Added 6 days ago
J
Chief technology officer (CTO)
JobsMedia.io
Montreal, QC
- Full-time

neurohire.ai

Data Scientist

Remote, Canada

Remote

$80,000 to $100,000 CAD / year · Full-time

Apply on jobs.workable.com About employer

Applications open in a new tab.

Job details

Pay: $80,000 to $100,000 CAD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 0–1 year of experience in Data Science, Machine Learning, Data Analytics, or a related technical role.
Posting language: English
Posted: Nov 6, 2026

Original job description

NeuroHire is seeking a motivated and analytical Data Scientist to join our team. In this role, you will work with structured and unstructured datasets to discover meaningful patterns, develop predictive models, and generate data-driven insights that support business objectives and strategic decision-making.

You will collaborate with technical and business teams to explore data, build machine learning models, evaluate analytical results, and help transform complex datasets into actionable solutions. This position is ideal for an early-career professional who is passionate about statistics, programming, machine learning, and solving real-world problems through data.

Key Responsibilities

Collect, clean, process, and analyze large datasets from multiple sources to identify patterns, trends, and meaningful insights.
Perform exploratory data analysis (EDA) to understand data distributions, relationships, and potential business opportunities.
Develop, train, test, and evaluate machine learning models to solve analytical and predictive problems.
Apply statistical techniques and mathematical methods to interpret data and support evidence-based decisions.
Write efficient code using Python and relevant data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
Build predictive models, classification algorithms, regression models, and other machine learning solutions.
Work with SQL databases to extract, manipulate, and analyze structured data.
Create data visualizations, reports, and presentations to communicate analytical findings.
Evaluate model performance using appropriate metrics and recommend improvements.
Collaborate with software engineers, data analysts, and cross-functional teams to translate business requirements into analytical solutions.
Assist in developing and improving data processing and machine learning workflows.
Maintain documentation of datasets, analytical methodologies, experiments, and model results.
Stay updated with emerging data science techniques, machine learning technologies, and industry best practices.

Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related technical field.
0–1 year of experience in Data Science, Machine Learning, Data Analytics, or a related technical role.
Strong programming knowledge in Python and familiarity with data science libraries such as Pandas, NumPy, and Scikit-learn.
Solid understanding of statistics, probability, linear algebra, and mathematical fundamentals.
Familiarity with machine learning concepts, including supervised and unsupervised learning.
Understanding of data preprocessing, data cleaning, feature engineering, and exploratory data analysis.
Proficiency in SQL for querying, joining, filtering, and analyzing datasets.
Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly.
Understanding of machine learning algorithms such as regression, decision trees, random forests, clustering, and classification.
Familiarity with Jupyter Notebook, Google Colab, or similar development environments.
Basic understanding of model evaluation, validation techniques, and performance metrics.
Familiarity with Git and GitHub for version control and collaborative development.
Strong analytical thinking, critical reasoning, and problem-solving abilities.
Ability to interpret complex data and communicate findings clearly.
Strong attention to detail, teamwork, and willingness to learn new technologies.

Preferred Qualifications

Academic projects, internships, or personal projects involving data science, machine learning, or predictive analytics.
Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
Basic understanding of Natural Language Processing (NLP) and generative AI concepts.
Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with model deployment, APIs, or machine learning pipelines.
Experience participating in data science competitions or working with real-world datasets.

Opportunity to contribute to an innovative, AI-powered technology company.
Hands-on exposure to real-world data science and machine learning projects.
Opportunities to strengthen programming, statistical analysis, and machine learning skills.
Collaborative environment that encourages experimentation, innovation, and continuous learning.
Opportunities for professional development and technical career growth.
Exposure to modern data science tools, technologies, and analytical workflows.
Opportunity to contribute to data-driven solutions and meaningful business initiatives.

If you are passionate about data science, machine learning, and transforming complex data into meaningful insights, we encourage you to apply and grow your career with NeuroHire.

Apply on jobs.workable.com About employer

More about this job

Responsibilities

The Data Scientist will collect, clean, and analyze large datasets to develop predictive machine learning models and generate actionable business insights. They will collaborate with cross-functional teams to translate business requirements into analytical solutions and communicate findings through reports and visualizations.

Requirements

Candidates must hold a Master's degree in a technical field such as Data Science, Computer Science, or Statistics. The role requires 0-1 year of experience and strong proficiency in Python, SQL, and fundamental statistical and machine learning concepts.

Skills

Python
SQL
Machine learning
Statistics
Data analysis
Predictive modeling
Pandas
NumPy
Scikit-learn
Matplotlib
Data visualization
Exploratory data analysis
Feature engineering
Git
Linear algebra
Probability

Benefits

Professional development
Technical career growth
Collaborative environment
Exposure to modern data science tools

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
Predictive Modeling
Statistics
Pandas
NumPy
Scikit-learn
Matplotlib
Exploratory Data Analysis
Feature Engineering
Git
GitHub
Linear Algebra
Probability
Regression
Classification
Clustering
Jupyter Notebook
Google Colab
TensorFlow
PyTorch
Natural Language Processing
Generative AI
AWS
Microsoft Azure
Google Cloud Platform
Data Visualization
API

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Work requirements

Jobs in Canada