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Robert Half

Data Scientist

Robert Half
Canada · Full-time · Mid-Senior

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements


Qualifications


  • Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • At least 3 years' of experience in quantitative analytics or data modeling
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
  • Fluency in a programming language (ie: Python)
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Key Skills

Ranked by relevance

prototypes cassandra big data hadoop spark
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Posted
Jun 13, 2026
Type
Full-time
Level
Mid-Senior
Location
Greater Toronto Area

Industries

Retail

Categories

Information Technology

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