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Data Scientist

  • Vancouver, BC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Education And Experience

  • Strong background in applying machine learning techniques and generative/agentic AI solutions
  • Strong ability in Python and R
  • Experience building and optimizing data pipelines, architectures and data sets
  • Strong ability to prototype deployment tools such as web app development
  • Fluency in big data platforms such as Spark
  • Experience with relational SQL and NoSQL databases
  • Experience with agile project management
  • Experience with cloud services such as AWS, Azure, or equivalent
  • Fluency in open source machine learning and generative/agentic AI frameworks
  • Experience with natural language processing, large language models, and/or computer vision
  • 3-5 years of relevant quantitative and qualitative research and analytics work
  • Master s Degree or above in Computer Science, Statistics or Data Science
More about this job

Responsibilities

Apply machine learning and generative or agentic AI techniques to research and analytics work. Build and optimize data pipelines, architectures, and data sets, and prototype deployment tools such as web applications.

Requirements

Requires 3–5 years of relevant quantitative and qualitative research and analytics experience, strong Python and R skills, and experience with big data platforms, databases, cloud services, and AI frameworks. A master's degree or higher in Computer Science, Statistics, or Data Science is required.

Skills

  • Machine Learning
  • Generative AI
  • Agentic AI
  • Python
  • R
  • Data Pipelines
  • Data Architecture
  • Data Sets
  • Web App Development
  • Apache Spark
  • SQL
  • NoSQL
  • Agile Project Management
  • Cloud Services
  • Natural Language Processing
  • Large Language Models

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Science & Research
  • Software

Keywords

  • Machine Learning
  • Generative AI
  • Agentic AI
  • Python
  • R
  • Data Pipelines
  • Data Architecture
  • Data Sets
  • Web App Development
  • Apache Spark
  • Big Data
  • Relational Databases
  • SQL
  • NoSQL
  • Agile Project Management
  • Cloud Services
  • AWS
  • Azure
  • Open-Source Frameworks
  • Natural Language Processing
  • Large Language Models
  • Computer Vision
  • Quantitative Research
  • Qualitative Research
  • Analytics
  • Computer Science
  • Statistics
  • Data Science

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