Closed listing
Data Scientist
- Vancouver, BC, Canada
$30 to $35 USD / hour · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $30 to $35 USD / hour
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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.
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
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
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