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Data Specialist

  • Toronto, ON, Canada

$70 to $85 CAD / hour · Contract

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Job details

Pay
$70 to $85 CAD / hour
Job type
Contract
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Posting language
English
Posted

Original job description

Russell Tobin & Associates is hiring on behalf of one of its esteemed clients.

Job Title: Data Analytical Specialist/Scientist - Senior

Location: Toronto, ON (Onsite)

Duration: 12 Months (Possible extension)

Client: Public Sector

Pay Rate: $70/hr - $85/hr [CAD]

Must have Skills:

  • 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

Key Responsibilities:

  • Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights
  • Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement
  • Facilitate decision-making and manage client expectations
  • Own the execution of analytics initiatives including end-to-end reporting and data set delivery
  • Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
  • Participate in documentation, development, testing, and end user training
  • Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions
  • Design methods to capture, structure, transform, and process data to be used to generate models
  • Build data models that provide information which is accurate, easy to understand and unbiased
  • Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries
  • Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making

If this opportunity matches your experience and career goals, please share your most updated resume for consideration.

More about this job

Responsibilities

Lead analytics initiatives and deliver reporting, datasets, statistical models, and machine learning solutions that support evidence-based decision-making. Collaborate with client groups and technical stakeholders to define requirements, improve analytics capabilities, communicate insights, and support documentation, testing, and end-user training.

Requirements

Requires more than five years of experience with cloud environments and big data frameworks, along with strong coding, data manipulation, and SQL skills. Candidates should have experience developing and deploying predictive and deep learning models, .NET and Azure technologies, cloud service models, and Agile practices.

Skills

  • Data Manipulation
  • SQL
  • Data Cleaning And Transformation
  • Azure
  • AWS
  • Big Data Frameworks
  • Predictive Modeling
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • ASP.NET
  • .NET Core
  • Entity Framework
  • Azure SQL
  • DevOps

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Government & Public Sector
  • Consulting

Keywords

  • Data Analytics
  • Business Intelligence
  • SQL
  • Relational Databases
  • Data Cleaning
  • Data Transformation
  • Azure
  • AWS
  • 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
  • Agile
  • Kanban
  • Statistical Modeling
  • Machine Learning
  • ETL
  • Data Modeling

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