Junior Data Scientist
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- 0–3 years of relevant experience, including internships, academic projects, or professional experience.
- Posting language
- English
- Posted
Original job description
Job Title: Junior Data Scientist
Employment Type: Contract
Duration: 12 months
Location: Toronto
Ideal Rate: $50- $55 (Based on Experience)
Work Arrangement: Hybrid – 3 days onsite per week, including Thursday
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field, or equivalent experience.
- 0–3 years of relevant experience, including internships, academic projects, or professional experience.
- Strong Python programming skills for data analysis and machine learning.
- Understanding of supervised and unsupervised machine learning concepts.
- Knowledge of SQL and data extraction and manipulation.
- Familiarity with data science libraries, statistical methods, and model evaluation techniques.
- Understanding of structured and unstructured data.
- Strong analytical, problem-solving, communication, and learning abilities.
Nice to Have
- Academic, internship, or personal projects involving machine learning or data science.
- Exposure to Generative AI, LLMs, prompt engineering, RAG, or chatbot development.
- Familiarity with frameworks such as LangChain, LangGraph, or CrewAI.
- Exposure to PySpark, APIs, or cloud technologies.
- Familiarity with AWS AI/ML services such as SageMaker or Bedrock.
Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
More about this job
Responsibilities
The posting does not specify particular day-to-day responsibilities. The role is a junior data science position focused on applying Python, machine learning, statistical methods, and data manipulation techniques.
Requirements
Candidates need a bachelor's degree in computer science, statistics, mathematics, data science, or a related field, or equivalent experience, and 0–3 years of relevant experience. Required skills include Python, machine learning concepts, SQL, data science libraries, statistical methods, model evaluation, and working with structured and unstructured data.
Skills
- Python
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- SQL
- Data Extraction
- Data Manipulation
- Data Science Libraries
- Statistical Methods
- Model Evaluation
- Structured Data
- Unstructured Data
- Generative AI
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Science & Research
- Software
Keywords
- Python
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- SQL
- Data Extraction
- Data Manipulation
- Data Science
- Statistical Methods
- Model Evaluation
- Structured Data
- Unstructured Data
- Generative AI
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- Chatbot Development
- LangChain
- LangGraph
- CrewAI
- PySpark
- APIs
- Cloud Technologies
- AWS
- SageMaker
- Bedrock