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Added 57 mins ago
GE
Little Chief Restaurant Breakfast Server
Grey Eagle Resort & Casino
Calgary, AB
- Full-time
Under the direction of the Hotel Food & Beverage Manager or Shift Supervisor, the Server is responsible for adhering to all policie
Added 57 mins ago
GE
Little Chief Restaurant Evening Server
Grey Eagle Resort & Casino
Calgary, AB
- Full-time
Under the direction of the Hotel Food & Beverage Manager or Shift Supervisor, the Server is responsible for adhering to all policie
Added 1 hour ago
TC
Data Scientist
Tech Consulting
Vancouver, BC
- $30 to $35 USD / hour
- Full-time
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C
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- Full-time
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Utility Worker
SSP America
Mississauga, ON
- Full-time
Added 3 hours ago
C
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Toronto, ON · Roundhouse The Rec Room
- Part-time
The Server or Server Assistant will be responsible for providing high-levels of guest service to all restaurant patrons by providing prompt service, taking accurate orders, and maintaining…
Added 3 hours ago
BP
Server
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- Full-time
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AM
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Added 8 hours ago
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Software Developer – CRM – Senior - RQ11500
S M Software Solutions Inc
Toronto, ON
- Internship
Added 8 hours ago
SM
Software Developer – CRM – Senior - RQ11653
S M Software Solutions Inc
Toronto, ON
- Internship
Added 8 hours ago
SM
Software Developer – CRM – Senior - RQ11654
S M Software Solutions Inc
Toronto, ON
- Internship
Added 8 hours ago
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Software Developer – CRM – Senior - RQ11653
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Tech Consulting

Data Scientist

Vancouver, BC, Canada

$30 to $35 USD / hour · Full-time

Apply About employer

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Job details

Pay: $30 to $35 USD / hour
Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

Job Title: Entry-Level Data Scientist

Job Type: Full-Time

Location: USA – Candidate must be open to relocation

We are seeking a motivated Entry-Level Data Scientist with a strong interest in machine learning, artificial intelligence, data analysis, and software development. This is an excellent opportunity for recent graduates or early-career professionals with internship, academic, or hands-on project experience who are looking to build their careers in machine learning and AI.

The ideal candidate should have hands-on exposure to Python, SQL, machine learning algorithms, data processing, and ML frameworks and a willingness to learn and work with modern AI and machine learning technologies.

Work Authorization

Canadian Citizens eligible to work in the U.S. under TN status are encouraged to apply.
Candidates who currently hold valid TN status are encouraged to apply.
Candidates must be open to relocating anywhere within the USA based on business requirements.

Required Skills

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
Knowledge of Python programming.
Understanding of fundamental machine learning concepts and algorithms.
Familiarity with NumPy, Pandas, and Scikit-learn.
Basic understanding of supervised and unsupervised learning.
Knowledge of SQL and relational databases.
Understanding of data preprocessing, feature engineering, model training, and evaluation.
Familiarity with common machine learning evaluation metrics.
Basic understanding of statistics and probability.
Familiarity with Git and version control.
Strong analytical, troubleshooting, and problem-solving skills.
Good communication and teamwork abilities.
Willingness to relocate within the USA.

Preferred Skills

Exposure to TensorFlow, PyTorch, Keras, or other machine learning frameworks.
Experience with Natural Language Processing (NLP), Computer Vision, or Generative AI.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Exposure to ML platforms and services such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI.
Knowledge of Docker and containerization.
Familiarity with machine learning pipelines and MLOps concepts.
Exposure to data visualization tools such as Matplotlib, Seaborn, Tableau, or Power BI.
Basic understanding of REST APIs and deploying machine learning models.
Familiarity with databases such as PostgreSQL, MySQL, MongoDB, or SQL Server.
Experience with academic, internship, or personal machine learning projects.
Exposure to Agile or Scrum development methodologies.

Who Should Apply

Recent graduates with a degree in Computer Science, Data Science, AI, Engineering, Mathematics, Statistics, or a related field.
Candidates with 0–2 years of machine learning, data science, software engineering, or AI experience.
Candidates with hands-on Python, SQL, and machine learning projects.
Candidates who have completed machine learning internships, academic projects, or personal AI/ML projects.
Canadian Citizens eligible for TN status.
Current TN Visa holders.
Candidates who are open to relocating within the United States.

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More about this job

Responsibilities

Apply machine learning and data analysis techniques using Python, SQL, and relevant frameworks. Process data, develop and evaluate models, and contribute to AI/ML projects while collaborating with a team.

Requirements

Requires a bachelor's degree in a relevant field or equivalent practical experience, foundational knowledge of Python, SQL, machine learning, statistics, and data processing, and strong analytical and communication skills. The role is intended for candidates with 0–2 years of experience, including recent graduates, and requires willingness to relocate within the United States.

Skills

Python
SQL
Machine Learning
Data Analysis
NumPy
Pandas
Scikit-Learn
Data Preprocessing
Feature Engineering
Model Training And Evaluation
Statistics And Probability
Git
TensorFlow
PyTorch
Natural Language Processing
Cloud Platforms

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Machine Learning
Artificial Intelligence
Data Science
Data Analysis
NumPy
Pandas
Scikit-Learn
Supervised Learning
Unsupervised Learning
Data Preprocessing
Feature Engineering
Model Training
Model Evaluation
Statistics
Probability
Git
TensorFlow
PyTorch
Keras
Natural Language Processing
Computer Vision
Generative AI
AWS
Azure
Google Cloud Platform
Docker
MLOps
Agile

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