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Data Scientist/Data Engineer

  • Toronto, ON, Canada

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Job details

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Contract
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Posting language
English
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Original job description

Requisition Title: RQ11753 - Data Analytical Specialist/Scientist - Senior 

Location: 222 Jarvis St(5 days onsite) 

Duration: 11 months 

Working Hours: 7.25 

Must Have 

· Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.

· Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.

· +5 years experience with cloud environments (Azure, AWS).

· +5 years experience with big data frameworks.

· Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).

· Experience with custom .Web API development, ASP.NET, .Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.

· Proficiency in all cloud service models: SaaS, PaaS, and IaaS.

· Experience with Agile methodologies including using kanban/task boards.

More about this job

Responsibilities

Source, clean, transform, and structure messy or unstructured data from multiple channels, and query and manage large relational databases. Train, test, and deploy predictive algorithms, classification models, and deep learning solutions in cloud environments.

Requirements

Requires more than five years of experience with cloud environments such as Azure or AWS and big data frameworks, along with strong coding and SQL skills. Candidates should also have experience with machine learning and deep learning, .NET web development, Azure SQL, DevOps, CI/CD pipelines, cloud service models, and Agile methods including Kanban.

Skills

  • Coding
  • Data Manipulation
  • SQL
  • Data Cleaning
  • Data Transformation
  • Azure
  • AWS
  • Big Data Frameworks
  • Predictive Modeling
  • Classification Models
  • Deep Learning
  • TensorFlow
  • PyTorch
  • ASP.NET
  • .NET Core
  • CI/CD

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Data Analytics
  • Data Science
  • Data Engineering
  • Coding
  • Data Manipulation
  • SQL
  • Relational Databases
  • Data Sourcing
  • Data Cleaning
  • Data Transformation
  • Unstructured Data
  • Azure
  • AWS
  • Cloud Computing
  • Big Data Frameworks
  • Predictive Algorithms
  • Classification Models
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Web API Development
  • ASP.NET
  • .NET Core
  • Entity Framework
  • Azure SQL
  • DevOps
  • CI/CD Pipelines
  • SaaS
  • PaaS
  • IaaS

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