Data Specialist
$70 - $85 per hourRussell Tobin
Russell Tobin & Associates is hiring on behalf of one of its esteemed clients.Job Title:
Data Analytical Specialist/Scientist - SeniorLocation:
Toronto, ON (Onsite)Client:
Public SectorPay 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 frameworksExperience 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 IaaSExperience with Agile methodologies including using kanban/task boardsKey Responsibilities:Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insightsWork closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvementFacilitate decision-making and manage client expectationsOwn the execution of analytics initiatives including end-to-end reporting and data set deliveryDevelop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferencesParticipate in documentation, development, testing, and end user trainingWork with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutionsDesign methods to capture, structure, transform, and process data to be used to generate modelsBuild data models that provide information which is accurate, easy to understand and unbiasedCommunicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summariesProvide 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
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Data Analytical Specialist/Scientist - SeniorLocation:
Toronto, ON (Onsite)Client:
Public SectorPay 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 frameworksExperience 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 IaaSExperience with Agile methodologies including using kanban/task boardsKey Responsibilities:Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insightsWork closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvementFacilitate decision-making and manage client expectationsOwn the execution of analytics initiatives including end-to-end reporting and data set deliveryDevelop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferencesParticipate in documentation, development, testing, and end user trainingWork with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutionsDesign methods to capture, structure, transform, and process data to be used to generate modelsBuild data models that provide information which is accurate, easy to understand and unbiasedCommunicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summariesProvide 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
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Vacancy posted 1 hour ago
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