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      • North York, Ontario
      • Contract
      Our Client in the Education Sector is looking for a Data Scientist on a 9 month contractExperience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, datamining, predictive analytics, machine learning and algorithms, natural language processing, and other related disciplinesExperience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, CognosExperience with SQL and using queries to extract relevant dataExperience with cleaning, transforming, integrating, and visualizing data setsAdvantagesLong Term ContractPayment Every week Hybrid Work ScheduleWorking with new technology ResponsibilitiesStatistical modelling using R scriptExperience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an assetExperience integrating R Script into Microsoft Power BIExperience with predictive analyticsExperience with dimensionalized data / building cubesQualifications The general scope of work for the data scientist involves:Assessing datasets from various ministry sources, including those involved with land-use planning, child care, and school related data;Identifying potential gaps (e.g. inconsistencies, errors) in datasets and documenting gaps as well as steps for resolution;Identifying new datasets needed to improve analytical capabilities of a proof of concept; Developing reports in various visualization tools (e.g. GIS, Tableau, Microsoft PowerBI);Conducting historical analytics on relational datasets;Conducting predictive analytics on relational datasets; andDocumenting the findings at each phase of work and reporting the findings to the team;SummaryLead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights. Work closely with clients 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.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      Our Client in the Education Sector is looking for a Data Scientist on a 9 month contractExperience with a range of analytical methods, techniques and tools such as statistical analysis and modelling, datamining, predictive analytics, machine learning and algorithms, natural language processing, and other related disciplinesExperience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft PowerBI, and PowerViewer, CognosExperience with SQL and using queries to extract relevant dataExperience with cleaning, transforming, integrating, and visualizing data setsAdvantagesLong Term ContractPayment Every week Hybrid Work ScheduleWorking with new technology ResponsibilitiesStatistical modelling using R scriptExperience with land-use planning, child care, StatsCan demographics, and Ontario Open Data is an assetExperience integrating R Script into Microsoft Power BIExperience with predictive analyticsExperience with dimensionalized data / building cubesQualifications The general scope of work for the data scientist involves:Assessing datasets from various ministry sources, including those involved with land-use planning, child care, and school related data;Identifying potential gaps (e.g. inconsistencies, errors) in datasets and documenting gaps as well as steps for resolution;Identifying new datasets needed to improve analytical capabilities of a proof of concept; Developing reports in various visualization tools (e.g. GIS, Tableau, Microsoft PowerBI);Conducting historical analytics on relational datasets;Conducting predictive analytics on relational datasets; andDocumenting the findings at each phase of work and reporting the findings to the team;SummaryLead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights. Work closely with clients 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.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      • Toronto, Ontario
      • Permanent
      Our client is looking for talented developers with a passion for data visualization and embedded analytics on our product development team. Are you ready for your next challenge as a BI developer?Our client team helps retailers turn shopper insights into a strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision-making. Using advanced modelling, artificial intelligence, and cloud-based SaaS solutions, we can put these insights at our clients’ fingertips.As a BI Developer, you’ll be part of a team of brilliant, highly skilled engineers and data scientists who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data-driven solutions powered by technology and people. While your core skill will be BI Application development, you will be expected to contribute in all areas of the product by developing your skills in other technologies, such as data, web development, automated testing and infrastructure.If you feel this is the right fit for you please email me your word resume to aaron.lail@randstad.caAdvantages●Work in an agile development environment, collaborating with web developers, testers and DevOps where you will be involved in scrum meetings, requirements discussion, technical design sessions, UAT process and other tasks related to iterative developmentResponsibilities●You are eager to be part of a fast-growing company that rewards creativity and innovation where your input is encouraged and welcomed.●You have a college or university degree in Mathematics, Computer Science, Business, Information Systems (or equivalent combination of skill and experience)●You have 1-3 years of development experience working with business data with exposure to ETL, data modelling and front-end UI design using industry-leading BI tools (Qlik Sense, Qlikview, Sisense, Tableau, or PowerBI)●You have a strong foundation of data visualization skills, design principles, dashboard and scorecard design.●You have solid database skills and can validate tools you build with direct database queries.●You employ a design-first approach to coding and technical problem solving and dedicate time to unit testing and integration testing to achieve your high-quality standards.●You are inspired by continual improvement challenges to deliver high-quality products quickly and efficiently.●You thrive in a team environment, contributing to shared knowledge and questioning the status quo to push yourself and your peers to be even better developers.●You stay informed about the latest developments in the technology space because new ideas excite you.●You are self-motivated and enjoy finding solutions to problems.Qualifications●Develop custom web reporting solutions for industry-leading interactive retail analytics●Work as part of a team to design, develop and deploy systems with configuration for different client data and business rules.●Develop Qlik Sense applications with a focus on accuracy, data model efficiency and data relationships across reports ●Develop with system integration in mind, mainly in data flow into and from Qlik Sense (BI Reporting Tool) and integrate with web applications.●Continually develop technical expertise to ensure that customer solution is efficient.●Consistently develop with performance in mind to optimize end-user experience.●Work with architects and senior team members to identify new tools and technologies applicable to expanding customer offerings.●Research and take advantage of new technology to improve and expand solutions.●Participate in team innovation by exploring the newest QlikSense versions and functionality, implementing tools, and presenting via formal knowledge sharing sessions.●Participate in peer code reviews, troubleshoot and correct software defectsSummaryalways ensures that its associates maintain a healthy work-life balance. Our client puts its associates first – investing in developing their technical and soft skills. We learn together, deliver excellent products that we are proud of, and have fun.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      Our client is looking for talented developers with a passion for data visualization and embedded analytics on our product development team. Are you ready for your next challenge as a BI developer?Our client team helps retailers turn shopper insights into a strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision-making. Using advanced modelling, artificial intelligence, and cloud-based SaaS solutions, we can put these insights at our clients’ fingertips.As a BI Developer, you’ll be part of a team of brilliant, highly skilled engineers and data scientists who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data-driven solutions powered by technology and people. While your core skill will be BI Application development, you will be expected to contribute in all areas of the product by developing your skills in other technologies, such as data, web development, automated testing and infrastructure.If you feel this is the right fit for you please email me your word resume to aaron.lail@randstad.caAdvantages●Work in an agile development environment, collaborating with web developers, testers and DevOps where you will be involved in scrum meetings, requirements discussion, technical design sessions, UAT process and other tasks related to iterative developmentResponsibilities●You are eager to be part of a fast-growing company that rewards creativity and innovation where your input is encouraged and welcomed.●You have a college or university degree in Mathematics, Computer Science, Business, Information Systems (or equivalent combination of skill and experience)●You have 1-3 years of development experience working with business data with exposure to ETL, data modelling and front-end UI design using industry-leading BI tools (Qlik Sense, Qlikview, Sisense, Tableau, or PowerBI)●You have a strong foundation of data visualization skills, design principles, dashboard and scorecard design.●You have solid database skills and can validate tools you build with direct database queries.●You employ a design-first approach to coding and technical problem solving and dedicate time to unit testing and integration testing to achieve your high-quality standards.●You are inspired by continual improvement challenges to deliver high-quality products quickly and efficiently.●You thrive in a team environment, contributing to shared knowledge and questioning the status quo to push yourself and your peers to be even better developers.●You stay informed about the latest developments in the technology space because new ideas excite you.●You are self-motivated and enjoy finding solutions to problems.Qualifications●Develop custom web reporting solutions for industry-leading interactive retail analytics●Work as part of a team to design, develop and deploy systems with configuration for different client data and business rules.●Develop Qlik Sense applications with a focus on accuracy, data model efficiency and data relationships across reports ●Develop with system integration in mind, mainly in data flow into and from Qlik Sense (BI Reporting Tool) and integrate with web applications.●Continually develop technical expertise to ensure that customer solution is efficient.●Consistently develop with performance in mind to optimize end-user experience.●Work with architects and senior team members to identify new tools and technologies applicable to expanding customer offerings.●Research and take advantage of new technology to improve and expand solutions.●Participate in team innovation by exploring the newest QlikSense versions and functionality, implementing tools, and presenting via formal knowledge sharing sessions.●Participate in peer code reviews, troubleshoot and correct software defectsSummaryalways ensures that its associates maintain a healthy work-life balance. Our client puts its associates first – investing in developing their technical and soft skills. We learn together, deliver excellent products that we are proud of, and have fun.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      • Toronto, Ontario
      • Permanent
      Our team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients. As a Data Architect, you’ll be part of a team of smart, highly skilled engineers and architects who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data driven solutions - all powered by our exceptional technology and people. Our core technologies currently include Python and Snowflake and we continue to adopt the best of breed in cloud-native, low-latency technologies. Our team is co-located and agile, with a central hub in Toronto. If you feel this is the right role for you please email me your word resume to aaron.lail@randstad.caAdvantages•Expertise with Cloud platforms – Azure, AWS, Snowflake •Expertise with CI/CD – Git/Bitbucket, JIRA, Bamboo •Experience with designing and developing serverless applications an asset •Experience with real-time/near real-time reporting using in-memory data tools or query engines•Preferred experience with business intelligence tools such as Sisense, Qliksense, Tableau and MicroStrategy an asset •Experience with Databricks, Delta Lake, Spark data pipeline development an asset •Understanding of machine learning an asset •Desire to independently research work-around solutions to complex problems an asset Responsibilities•Focus on defining, developing and promoting the Enterprise Data Architecture strategy that aids the organization and our clients in achieving their strategic information management goals.•Lead design, development and implementation of our clent's data architecture. This includes the design and deployment of enterprise data standards, architecture patterns and data models. •Lead data architecture efforts in support of key analytics innovations that involve multiple internal and/or external (client) stakeholders •Define how data will be stored, consumed, integrated and managed within data platforms and application products•Design, develop and implementation of new and existing data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster •Design and implement highly performant, reliable and secure data pipelines and interfaces that feed various analytics applications, both structured and unstructured data •Work alongside key stakeholders within the team to put data processing solutions into production environment •Drive standardization and simplification across the enterprise, lowering cost, improving quality and value of data assets.Qualifications•Computer Science, Engineering, Information Systems degree (or equivalent combination of skill and experience) •5+ years' experience leading complex data architecture projects •Expertise SQL (required) coding and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Java and Spark •Expertise in dimensional and relational database design and data models (Snowflake, RedShift, Teradata) •Expertise with various analytical data platforms and technologies •Expertise in data integration design, implementation, and maintenance, data lakes/hubs •Experience with developing REST APIs and microservices •Experience with data governance and information security practicesSummaryMany retailers feel like they’re drowning in data, but don’t have to. Our data scientists use advanced modeling and artificial intelligence (AI) capabilities to mine shopper data, uncover what drives shoppers’ decisions and identify leading ways to optimize retail strategy. Our cloud-based Software-as-a-Service (SaaS) solutions put actionable customer insights at the fingertips of marketing and merchandising decision-makers and enable you to share these insights with suppliersRandstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      Our team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients. As a Data Architect, you’ll be part of a team of smart, highly skilled engineers and architects who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data driven solutions - all powered by our exceptional technology and people. Our core technologies currently include Python and Snowflake and we continue to adopt the best of breed in cloud-native, low-latency technologies. Our team is co-located and agile, with a central hub in Toronto. If you feel this is the right role for you please email me your word resume to aaron.lail@randstad.caAdvantages•Expertise with Cloud platforms – Azure, AWS, Snowflake •Expertise with CI/CD – Git/Bitbucket, JIRA, Bamboo •Experience with designing and developing serverless applications an asset •Experience with real-time/near real-time reporting using in-memory data tools or query engines•Preferred experience with business intelligence tools such as Sisense, Qliksense, Tableau and MicroStrategy an asset •Experience with Databricks, Delta Lake, Spark data pipeline development an asset •Understanding of machine learning an asset •Desire to independently research work-around solutions to complex problems an asset Responsibilities•Focus on defining, developing and promoting the Enterprise Data Architecture strategy that aids the organization and our clients in achieving their strategic information management goals.•Lead design, development and implementation of our clent's data architecture. This includes the design and deployment of enterprise data standards, architecture patterns and data models. •Lead data architecture efforts in support of key analytics innovations that involve multiple internal and/or external (client) stakeholders •Define how data will be stored, consumed, integrated and managed within data platforms and application products•Design, develop and implementation of new and existing data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster •Design and implement highly performant, reliable and secure data pipelines and interfaces that feed various analytics applications, both structured and unstructured data •Work alongside key stakeholders within the team to put data processing solutions into production environment •Drive standardization and simplification across the enterprise, lowering cost, improving quality and value of data assets.Qualifications•Computer Science, Engineering, Information Systems degree (or equivalent combination of skill and experience) •5+ years' experience leading complex data architecture projects •Expertise SQL (required) coding and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Java and Spark •Expertise in dimensional and relational database design and data models (Snowflake, RedShift, Teradata) •Expertise with various analytical data platforms and technologies •Expertise in data integration design, implementation, and maintenance, data lakes/hubs •Experience with developing REST APIs and microservices •Experience with data governance and information security practicesSummaryMany retailers feel like they’re drowning in data, but don’t have to. Our data scientists use advanced modeling and artificial intelligence (AI) capabilities to mine shopper data, uncover what drives shoppers’ decisions and identify leading ways to optimize retail strategy. Our cloud-based Software-as-a-Service (SaaS) solutions put actionable customer insights at the fingertips of marketing and merchandising decision-makers and enable you to share these insights with suppliersRandstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      • Toronto, Ontario
      • Permanent
      team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients. As a Senior Data Engineer, you’ll be part of a team of smart, highly skilled engineers who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data driven solutions - all powered by our exceptional technology and people. Our core technologies currently include Python and Snowflake and we continue to adopt the best of breed in cloud-native (Azure), low-latency technologies. Our team is co-located and agile, with a central hub in Toronto. If you like what you see please email me your word resume to aaron.lail@randstad.caAdvantages•Computer Science, Engineering, Information Systems degree (or equivalent combination of skill and experience) •5+ years' experience leading complex data architecture projects •Expertise SQL (required) coding and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Java and Spark •Expertise in dimensional and relational database design and data models (Snowflake, RedShift, Teradata) •Experience with various analytical data platforms and technologies •Experience in data integration design, implementation, and maintenance, data lakes/hubs •Experience with developing REST APIs and microservices Responsibilities•Lead the design, development, and implementation of new and existing data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster •A key contributor in providing data extraction and management solutions to a diverse team of data analysts and data scientists as they develop best-in-class analytics solutions •Lead data architecture efforts in support of key analytics innovations that involve multiple internal and/or external (client) stakeholders •Develop efficient queries to retrieve appropriate datasets from relational databases •Design, implement and maintain performance of reliable data pipelines and interfaces that feed various analytics applications, both structured and unstructured data •Create, implement, and maintain data transformation processes •Work alongside key stakeholders within the team to put data processing solutions into production environment Qualifications•Experience with Cloud platforms – Azure, AWS, Snowflake •Experience with CI/CD – Git/Bitbucket, JIRA, Bamboo •Experience with designing and developing serverless applications an asset •Experience with Databricks, Delta Lake, Spark data pipeline development an asset •Preferred experience with business intelligence tools such as Sisense, Qliksense, Tableau and MicroStrategy an asset •Understanding of machine learning an asset •Desire to independently research work-around solutions to complex problems an asset SummaryMany retailers feel like they’re drowning in data, but don’t have to. Our data scientists use advanced modeling and artificial intelligence (AI) capabilities to mine shopper data, uncover what drives shoppers’ decisions and identify leading ways to optimize retail strategy. Our cloud-based Software-as-a-Service (SaaS) solutions put actionable customer insights at the fingertips of marketing and merchandising decision-makers and enable you to share these insights with suppliers.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      team helps retailers turn shopper insights into strategic advantage. We leverage our deep expertise in data science and technology to mine shopper data, uncovering what drives consumer decision making. By using advanced modeling, artificial intelligence and cloud-based SaaS solutions, we are able to put these insights at the fingertips of our clients. As a Senior Data Engineer, you’ll be part of a team of smart, highly skilled engineers who are proud to partner with some of the world’s leading retailers on challenging, cutting-edge, data driven solutions - all powered by our exceptional technology and people. Our core technologies currently include Python and Snowflake and we continue to adopt the best of breed in cloud-native (Azure), low-latency technologies. Our team is co-located and agile, with a central hub in Toronto. If you like what you see please email me your word resume to aaron.lail@randstad.caAdvantages•Computer Science, Engineering, Information Systems degree (or equivalent combination of skill and experience) •5+ years' experience leading complex data architecture projects •Expertise SQL (required) coding and experience with a broad array of development tools and platforms, experience with Linux/UNIX shell coding, analytics data management tools/languages such as Python (required), Java and Spark •Expertise in dimensional and relational database design and data models (Snowflake, RedShift, Teradata) •Experience with various analytical data platforms and technologies •Experience in data integration design, implementation, and maintenance, data lakes/hubs •Experience with developing REST APIs and microservices Responsibilities•Lead the design, development, and implementation of new and existing data processing solutions; enabling teams to be more efficient and effective in analyzing data and getting to insights faster •A key contributor in providing data extraction and management solutions to a diverse team of data analysts and data scientists as they develop best-in-class analytics solutions •Lead data architecture efforts in support of key analytics innovations that involve multiple internal and/or external (client) stakeholders •Develop efficient queries to retrieve appropriate datasets from relational databases •Design, implement and maintain performance of reliable data pipelines and interfaces that feed various analytics applications, both structured and unstructured data •Create, implement, and maintain data transformation processes •Work alongside key stakeholders within the team to put data processing solutions into production environment Qualifications•Experience with Cloud platforms – Azure, AWS, Snowflake •Experience with CI/CD – Git/Bitbucket, JIRA, Bamboo •Experience with designing and developing serverless applications an asset •Experience with Databricks, Delta Lake, Spark data pipeline development an asset •Preferred experience with business intelligence tools such as Sisense, Qliksense, Tableau and MicroStrategy an asset •Understanding of machine learning an asset •Desire to independently research work-around solutions to complex problems an asset SummaryMany retailers feel like they’re drowning in data, but don’t have to. Our data scientists use advanced modeling and artificial intelligence (AI) capabilities to mine shopper data, uncover what drives shoppers’ decisions and identify leading ways to optimize retail strategy. Our cloud-based Software-as-a-Service (SaaS) solutions put actionable customer insights at the fingertips of marketing and merchandising decision-makers and enable you to share these insights with suppliers.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      • Oakville, Ontario
      • Permanent
      Reporting to the Chief Information Officer, this is your chance to define, develop, and own internal data initiatives for Canada’s largest Mortgage Insurer. This is a greenfield opportunity for someone who wants to be a strategic leader; deploying complex software implementations and delivering a data platform in a manner that accelerates clients' business strategy. As our Director, of Data Enterprise Architecture you will build out the company's data platform, team and methodology with the autonomy and resources needed to succeed.AdvantagesThis would an opportunity to work on a greenfield project that has financial backing and support from the executive leadership, identifying the latest and the newest tech space in the Data world!ResponsibilitiesTechnical data strategy. You will:Lead data management and deployment; constantly looking for ways to improve upon our tech stack.Help build the Data Life Cycle Management program for the organization.Work with the Modelling & Data Analytics teams to identify future needs and requirements of the platform.Apply best practices to all solution architecture, design areas, including on-prem, AWS, or a combination. This includes areas such as Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.Overseeing the translation of detailed requirements into functional specifications.Develop data patterns, define playbooks and technologies to support the data platform.Analyze requirements for new software and applications.Lead technology POCs and pilots in the data and analytics domain in partnership with the Modelling and Data Analytics teams.Build a team. You will:Engage the business leadership and lead the Data Platform design and build while defining the data program for the company.Roll-up your sleeves and help the teams and business with complex technical issues.Mentor others, both within your team and elsewhere in the business, to support solution development and application of best practices.Proactively recruit and develop roles within your team at all levels.Build and lead a team of data personnel using Agile methodology.Drive the program. You will:Provide leadership on the design & end-to-end solutions for building data & analytics applications on cloud and on-premises platforms.Provide high level estimates for project proposals and solution designs.Set up and provide governance on data architecture and technology standards for the company.Collaborate with business lines to deliver data projects and analytical models.QualificationsThe experience. You have 10+ years of hands-on data management experience and have successfully led and delivered numerous complex data programs at an enterprise level. You have an undergraduate degree in technology or a related field, and ideally, have your MBA.Data skills. You are technically strong and have deep knowledge on MDM, RDM, data modeling techniques, and advanced data patterns augmented with some experience in Machine Learning / AI methodologies and technologies such as Sagemaker, Azure Synapse, Azure ML, R, Python and Azure Data Bricks.Cloud skills. You have a solid background and experience in delivering a data governance platform and its technical related projects using cloud technologies (AWS or Azure or GCP or similar), data lake technologies like Glue, EMR, Redshift, Lambda and open-source technologies like Python, Spark, Hive, Data Lake and Cassandra.Analytic Skills. You are an expert in understanding analytics and visualization solutions using any modern age tools like SAS, AWS Sagemaker, R Studio, Tableau.Collaboration skills. You’re a relationship-builder who enjoys working closely with and learning from internal teams. You easily gain the trust of your team members and are excellent at defining the big-picture vision and obtaining stakeholder buy-in.Project management expertise. You are highly detail-oriented and meticulous. Your focus is accomplishing every milestone while ensuring processes are followed and issues are proactively dealt with. You’re a strong multi-tasker who can track the progress of multiple team members and motivate them to put their best foot forward. You are proficient in Microsoft Project as well as other project management tools. Communication skills. You have strong verbal and written communication skills with the ability to clearly articulate project needs to a diverse range of stakeholders. You proactively follow up on action items and don’t hesitate when it comes to picking up the phone or sending an email. The technical knowledge. You are very familiar with the intricacies of operating systems, application development, database management, interface engines, and information systems principles. You can develop cases that highlight the ROI and TCO of technical projects. You are excellent at defining technology architectures end to end at the enterprise level.SummaryReporting to the Chief Information Officer, this is your chance to define, develop, and own internal data initiatives for Canada’s largest Mortgage Insurer. This is a greenfield opportunity for someone who wants to be a strategic leader; deploying complex software implementations and delivering a data platform in a manner that accelerates cleint's business strategy. As our Director, of Data Enterprise Architecture you will build out the company's data platform, team and methodology with the autonomy and resources needed to succeed.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      Reporting to the Chief Information Officer, this is your chance to define, develop, and own internal data initiatives for Canada’s largest Mortgage Insurer. This is a greenfield opportunity for someone who wants to be a strategic leader; deploying complex software implementations and delivering a data platform in a manner that accelerates clients' business strategy. As our Director, of Data Enterprise Architecture you will build out the company's data platform, team and methodology with the autonomy and resources needed to succeed.AdvantagesThis would an opportunity to work on a greenfield project that has financial backing and support from the executive leadership, identifying the latest and the newest tech space in the Data world!ResponsibilitiesTechnical data strategy. You will:Lead data management and deployment; constantly looking for ways to improve upon our tech stack.Help build the Data Life Cycle Management program for the organization.Work with the Modelling & Data Analytics teams to identify future needs and requirements of the platform.Apply best practices to all solution architecture, design areas, including on-prem, AWS, or a combination. This includes areas such as Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization.Overseeing the translation of detailed requirements into functional specifications.Develop data patterns, define playbooks and technologies to support the data platform.Analyze requirements for new software and applications.Lead technology POCs and pilots in the data and analytics domain in partnership with the Modelling and Data Analytics teams.Build a team. You will:Engage the business leadership and lead the Data Platform design and build while defining the data program for the company.Roll-up your sleeves and help the teams and business with complex technical issues.Mentor others, both within your team and elsewhere in the business, to support solution development and application of best practices.Proactively recruit and develop roles within your team at all levels.Build and lead a team of data personnel using Agile methodology.Drive the program. You will:Provide leadership on the design & end-to-end solutions for building data & analytics applications on cloud and on-premises platforms.Provide high level estimates for project proposals and solution designs.Set up and provide governance on data architecture and technology standards for the company.Collaborate with business lines to deliver data projects and analytical models.QualificationsThe experience. You have 10+ years of hands-on data management experience and have successfully led and delivered numerous complex data programs at an enterprise level. You have an undergraduate degree in technology or a related field, and ideally, have your MBA.Data skills. You are technically strong and have deep knowledge on MDM, RDM, data modeling techniques, and advanced data patterns augmented with some experience in Machine Learning / AI methodologies and technologies such as Sagemaker, Azure Synapse, Azure ML, R, Python and Azure Data Bricks.Cloud skills. You have a solid background and experience in delivering a data governance platform and its technical related projects using cloud technologies (AWS or Azure or GCP or similar), data lake technologies like Glue, EMR, Redshift, Lambda and open-source technologies like Python, Spark, Hive, Data Lake and Cassandra.Analytic Skills. You are an expert in understanding analytics and visualization solutions using any modern age tools like SAS, AWS Sagemaker, R Studio, Tableau.Collaboration skills. You’re a relationship-builder who enjoys working closely with and learning from internal teams. You easily gain the trust of your team members and are excellent at defining the big-picture vision and obtaining stakeholder buy-in.Project management expertise. You are highly detail-oriented and meticulous. Your focus is accomplishing every milestone while ensuring processes are followed and issues are proactively dealt with. You’re a strong multi-tasker who can track the progress of multiple team members and motivate them to put their best foot forward. You are proficient in Microsoft Project as well as other project management tools. Communication skills. You have strong verbal and written communication skills with the ability to clearly articulate project needs to a diverse range of stakeholders. You proactively follow up on action items and don’t hesitate when it comes to picking up the phone or sending an email. The technical knowledge. You are very familiar with the intricacies of operating systems, application development, database management, interface engines, and information systems principles. You can develop cases that highlight the ROI and TCO of technical projects. You are excellent at defining technology architectures end to end at the enterprise level.SummaryReporting to the Chief Information Officer, this is your chance to define, develop, and own internal data initiatives for Canada’s largest Mortgage Insurer. This is a greenfield opportunity for someone who wants to be a strategic leader; deploying complex software implementations and delivering a data platform in a manner that accelerates cleint's business strategy. As our Director, of Data Enterprise Architecture you will build out the company's data platform, team and methodology with the autonomy and resources needed to succeed.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      • Toronto, Ontario
      • Permanent
      We are hiring a Senior Manager, Website Optimization. You will have the opportunity to learn from and work with fellow marketers, as well as cross-functionally, to build, test, and execute web optimization programs that provide a best-in-class user experience and drive growth. You love working in a collaborative team environment, but also enjoy your autonomy to accomplish tasks and provide excellent service to clients. As an individual who is driven by excellence, you are eager to contribute the success of one of Canada’s Best Managed companies.Reporting into the VP Performance Marketing, this role will work cross-functionally to develop best in class website experiences to increase conversion rates, make recommendations on campaign landing pages, and build the roadmap for web to maximize ROI and drive new patient growth.AdvantagesCompetitive Salary15% bonusBenefits from day 1Agile environment Great leadership Hybrid ResponsibilitiesPlan, build, and execute web optimization programs, including A/B testing, multivariate testing, and conversion rate optimization (CRO) to drive leads and new patient growth.Use data and insights to define web journey optimization roadmap and strategy, and work cross-functionally with marketing managers, operations, paid media, content, and agency partners to execute it.Identify opportunities and make recommendations for further improvements to the patient journey to drive new patient growth and retain existing patients.Measure, analyze, and report on website performance and share actionable insights to drive ongoing website improvements.Collaborate with the Marketing and Operations teams on test research, hypotheses, strategies, and testing roadmaps.Analyze and report on test results to determine the impact on UX and its subsequent ROI.Develop and run quantitative and qualitative research, including: User Testing, Heatmapping/Scrollmapping, Visual Analytics, Data Analytics, and Competitive Research.QA of all experiments including ensuring all running experiments are rendering appropriately and all goals are tracked properly across browsers and devices.Qualifications7+ years’ of performance marketing experience in testing and personalization, analytics, CRO either at an agency or in an in-house role, preferably in the service or B2B industry.Direct experience of preparing and setting up A/B and Multivariate experiments, applying targeting rules and audience conditions, launching, managing, and reporting on testing activity, and iterating on learnings.Deep knowledge of digital marketing tactics including SEO, conversion rate optimization (CRO), and website performance and best practices.Comfortable working with both creative (i.e. brand and design) and technical teams (i.e. developers and operations).Experience in a mobile-first approach, UX design, wireframing, and usability principles.High-level of knowledge working with Google Analytics and Google Tag Manager, as well as other web analytics tools.Experience using A/B and multivariate testing and personalization platforms like Optimizely, Google Optimize, Adobe Target, or similar.Strong understanding of statistics and analyzing large data sets to understand the conversion funnel and identify opportunities to improve performance.Proficient using Excel/Google Sheets and data visualization tools (Tableau, Looker, etc) with an ability to clearly articulate outcomes and learnings.Proactive and creative problem-solver with the ability to identify problems and solve them independently.Highly organized, strong attention to detail, and ability to manage multiple projects in a fast-paced startup environment.Ambitious self-starter with demonstrated ability and willingness to roll up sleeves and execute.Promote recommendations, articulate tradeoffs, and communicate plans to senior executive.Strong written and verbal communication skills, with an emphasis on web content best practices.Willingness to wear multiple hats, and ability to deliver high-quality results in a rapidly-evolving environment.SummaryIf you bring the right expertise within Website Optimization and find value value in this role, i highly encourage you to apply for this job posting.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
      We are hiring a Senior Manager, Website Optimization. You will have the opportunity to learn from and work with fellow marketers, as well as cross-functionally, to build, test, and execute web optimization programs that provide a best-in-class user experience and drive growth. You love working in a collaborative team environment, but also enjoy your autonomy to accomplish tasks and provide excellent service to clients. As an individual who is driven by excellence, you are eager to contribute the success of one of Canada’s Best Managed companies.Reporting into the VP Performance Marketing, this role will work cross-functionally to develop best in class website experiences to increase conversion rates, make recommendations on campaign landing pages, and build the roadmap for web to maximize ROI and drive new patient growth.AdvantagesCompetitive Salary15% bonusBenefits from day 1Agile environment Great leadership Hybrid ResponsibilitiesPlan, build, and execute web optimization programs, including A/B testing, multivariate testing, and conversion rate optimization (CRO) to drive leads and new patient growth.Use data and insights to define web journey optimization roadmap and strategy, and work cross-functionally with marketing managers, operations, paid media, content, and agency partners to execute it.Identify opportunities and make recommendations for further improvements to the patient journey to drive new patient growth and retain existing patients.Measure, analyze, and report on website performance and share actionable insights to drive ongoing website improvements.Collaborate with the Marketing and Operations teams on test research, hypotheses, strategies, and testing roadmaps.Analyze and report on test results to determine the impact on UX and its subsequent ROI.Develop and run quantitative and qualitative research, including: User Testing, Heatmapping/Scrollmapping, Visual Analytics, Data Analytics, and Competitive Research.QA of all experiments including ensuring all running experiments are rendering appropriately and all goals are tracked properly across browsers and devices.Qualifications7+ years’ of performance marketing experience in testing and personalization, analytics, CRO either at an agency or in an in-house role, preferably in the service or B2B industry.Direct experience of preparing and setting up A/B and Multivariate experiments, applying targeting rules and audience conditions, launching, managing, and reporting on testing activity, and iterating on learnings.Deep knowledge of digital marketing tactics including SEO, conversion rate optimization (CRO), and website performance and best practices.Comfortable working with both creative (i.e. brand and design) and technical teams (i.e. developers and operations).Experience in a mobile-first approach, UX design, wireframing, and usability principles.High-level of knowledge working with Google Analytics and Google Tag Manager, as well as other web analytics tools.Experience using A/B and multivariate testing and personalization platforms like Optimizely, Google Optimize, Adobe Target, or similar.Strong understanding of statistics and analyzing large data sets to understand the conversion funnel and identify opportunities to improve performance.Proficient using Excel/Google Sheets and data visualization tools (Tableau, Looker, etc) with an ability to clearly articulate outcomes and learnings.Proactive and creative problem-solver with the ability to identify problems and solve them independently.Highly organized, strong attention to detail, and ability to manage multiple projects in a fast-paced startup environment.Ambitious self-starter with demonstrated ability and willingness to roll up sleeves and execute.Promote recommendations, articulate tradeoffs, and communicate plans to senior executive.Strong written and verbal communication skills, with an emphasis on web content best practices.Willingness to wear multiple hats, and ability to deliver high-quality results in a rapidly-evolving environment.SummaryIf you bring the right expertise within Website Optimization and find value value in this role, i highly encourage you to apply for this job posting.Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

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