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Data Scientist

  • Vaughan, ON
  • On-site
  • Posted Jul 28, 2026
  • 1 position

$85,000–$115,000 / year

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Bachelor’s degree
Posting language
English
Working hours
40 hours per week

Job summary

The Data Scientist will analyze customer, digital, and transportation datasets to develop insights on pricing, marketing, and travel behavior. They will build and measure predictive models for loyalty, promotions, and customer segmentation while presenting findings to key stakeholders.

Job details

The Data Scientist will analyze customer, digital, and transportation datasets to develop insights on pricing, marketing, and travel behavior. They will build and measure predictive models for loyalty, promotions, and customer segmentation while presenting findings to key stakeholders. Candidates must hold a university degree in Engineering, Statistics, Mathematics, or Computer Science. A minimum of 3-5 years of experience in data science techniques and proficiency in Python, SQL, and cloud-based data environments are required.

What you’ll do

The Data Scientist will analyze customer, digital, and transportation datasets to develop insights on pricing, marketing, and travel behavior. They will build and measure predictive models for loyalty, promotions, and customer segmentation while presenting findings to key stakeholders.

Requirements

Candidates must hold a university degree in Engineering, Statistics, Mathematics, or Computer Science. A minimum of 3-5 years of experience in data science techniques and proficiency in Python, SQL, and cloud-based data environments are required.

Listed skills

  • SQL · Preferred
  • Tableau · Preferred
  • Machine learning · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • SQL
  • Tableau
  • PowerBI
  • AWS Sagemaker
  • MLFlow
  • Databricks
  • AWS Cloud
  • Clustering
  • Regression models
  • Classification
  • Anomaly detection
  • Machine learning
  • Propensity modeling
  • Price elasticity
  • Churn analysis

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Transportation
  • Engineering

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