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Why Hiring

Entry-Level Data Scientist

Why Hiring
Canada · Full-time · Entry

A technology-focused analytics team in Canada is looking for an Entry-Level Data Scientist interested in solving practical problems using data. This role focuses on developing analytical solutions, supporting machine learning initiatives, and transforming complex data into meaningful insights.


Key Responsibilities

  • Perform exploratory data analysis on business and product datasets
  • Build and evaluate predictive models and statistical analyses
  • Prepare data pipelines and perform data cleaning tasks
  • Develop dashboards and reports for technical and non-technical stakeholders
  • Assist with A/B testing and experimentation analysis
  • Document analytical processes and model performance


Requirements

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related discipline
  • 0–2 years of experience in data science, analytics, internships, or academic projects
  • Strong programming skills in Python or R
  • Experience working with SQL databases
  • Knowledge of machine learning techniques and statistical methods
  • Familiarity with data visualization tools such as Power BI, Tableau, or Plotly


Preferred Qualifications

  • Experience with Git and collaborative development workflows
  • Exposure to cloud-based analytics tools (AWS, GCP, Azure)
  • Understanding of data pipelines and ETL processes


Benefits

  • Fully remote work flexibility
  • Professional development opportunities
  • Access to mentorship and hands-on projects
  • Opportunity to work with modern data science tools and technologies

Key Skills

Ranked by relevance

machine learning data visualization data analysis power bi tableau python cloud git sql aws gcp etl
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Posted
Mar 16, 2026
Type
Full-time
Level
Entry
Location
Canada
Company
Why Hiring

Industries

Staffing Recruiting

Categories

Engineering Information Technology

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