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    1 job found for economics in toronto, ontario

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      • Toronto, Ontario
      • Contract
      Our public sector client is looking for a Data Analyst/Scientist to join them for an initial 1 year contract.Must Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)Advantages- work from home until quarantine is lifted - work on high profile projectrsResponsibilitiesLead 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 makingQualificationsMust Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)SummaryMUST HAVE QUALIFICATIONSOTHERvisualization software tools (R Shiny, PowerBI, etc.) 5-8 yearscoding skills in various data languages (e.g. R, Python) 3-5 yearsStructured Query Language (SQL) 5-8 yearsknowledge of algorithms on machine learning, deep learning 5-8 yearsknowledge of data mining, statistical analysis, statistical models 5-8 years
      Our public sector client is looking for a Data Analyst/Scientist to join them for an initial 1 year contract.Must Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)Advantages- work from home until quarantine is lifted - work on high profile projectrsResponsibilitiesLead 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 makingQualificationsMust Haves:Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplinesAbility to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology Nice to Have:Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)SummaryMUST HAVE QUALIFICATIONSOTHERvisualization software tools (R Shiny, PowerBI, etc.) 5-8 yearscoding skills in various data languages (e.g. R, Python) 3-5 yearsStructured Query Language (SQL) 5-8 yearsknowledge of algorithms on machine learning, deep learning 5-8 yearsknowledge of data mining, statistical analysis, statistical models 5-8 years

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