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    3 jobs found for data scientist

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      • Mississauga, Ontario
      • Permanent
      Our client located in Mississauga in the Retail SaaS product space is looking for an experienced Data Scientist for a permanent opportunity!Do you have 4+ years of professional experience as a Data Scientist beyond academic research? Do you know your stuff and can get into detail about the challenges you've overcome with Machine Learning? Can you review and read C++ code and while being able to code in Python? Do you have specific experience solving business problems (such as demand forecasting) with Machine Learning? If you think this description fits you, please send your updated resume to alfred.lo@randstad.ca or connect with me on LinkedIn with a specific message! AdvantagesJoining a leading organization in their respective space during an exciting time of growth and opportunity!This is a white space moment for them, lots of opportunities for thinking and exploring - they need someone who won't be lost or be a deer in headlights! ResponsibilitiesWork with the principal Data Scientist to help drive the their data science program forward. Lots of challenges such as feature development; research and creating demand forecasting models QualificationsSpecific examples of professional (not academic) exp as a Data Scientist 3-5 yearsMachine Learning Experience 3-5 yearsExp with big BI tools (Power BI or Tableau) 2-3 yearsAbility to read production code (C++) 2-3 yearSummaryOur client located in Mississauga in the Retail SaaS product space is looking for an experienced Data Scientist for a permanent opportunity!Do you have 4+ years of professional experience as a Data Scientist beyond academic research? Do you know your stuff and can get into detail about the challenges you've overcome with Machine Learning? Can you review and read C++ code and while being able to code in Python? Do you have specific experience solving business problems (such as demand forecasting) with Machine Learning? If you think this description fits you, please send your updated resume to alfred.lo@randstad.ca or connect with me on LinkedIn with a specific message!
      Our client located in Mississauga in the Retail SaaS product space is looking for an experienced Data Scientist for a permanent opportunity!Do you have 4+ years of professional experience as a Data Scientist beyond academic research? Do you know your stuff and can get into detail about the challenges you've overcome with Machine Learning? Can you review and read C++ code and while being able to code in Python? Do you have specific experience solving business problems (such as demand forecasting) with Machine Learning? If you think this description fits you, please send your updated resume to alfred.lo@randstad.ca or connect with me on LinkedIn with a specific message! AdvantagesJoining a leading organization in their respective space during an exciting time of growth and opportunity!This is a white space moment for them, lots of opportunities for thinking and exploring - they need someone who won't be lost or be a deer in headlights! ResponsibilitiesWork with the principal Data Scientist to help drive the their data science program forward. Lots of challenges such as feature development; research and creating demand forecasting models QualificationsSpecific examples of professional (not academic) exp as a Data Scientist 3-5 yearsMachine Learning Experience 3-5 yearsExp with big BI tools (Power BI or Tableau) 2-3 yearsAbility to read production code (C++) 2-3 yearSummaryOur client located in Mississauga in the Retail SaaS product space is looking for an experienced Data Scientist for a permanent opportunity!Do you have 4+ years of professional experience as a Data Scientist beyond academic research? Do you know your stuff and can get into detail about the challenges you've overcome with Machine Learning? Can you review and read C++ code and while being able to code in Python? Do you have specific experience solving business problems (such as demand forecasting) with Machine Learning? If you think this description fits you, please send your updated resume to alfred.lo@randstad.ca or connect with me on LinkedIn with a specific message!
      • Mississauga, Ontario
      • Permanent
      Our client, a leader in the Retail industry, is looking for several Data Scientists to join their team on a permanent hire basisOverviewThis is an exciting opportunity to join our Innovation and Strategy team at the ground level ! You will be part of our innovation hub located in downtown Toronto where your desire for impact will only be matched by your innate ability to collaborate with other like minded individuals to come up with creative solutions to our retail data science problems.Job DescriptionIn this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations. The Data Scientist will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization. You will be responsible for the building, training, scoring and monitoring of machine learning models. You will work closely with various stakeholders throughout our business to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques.Advantages- work from home initially until quarantine is over- new area being developed within companyResponsibilitiesJob DescriptionIn this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations. The Data Scientist will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization. You will be responsible for the building, training, scoring and monitoring of machine learning models. You will work closely with various stakeholders throughout our business to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques.QualificationsJob Requirements• MS/PHD or equivalent in Computer Science, Engineering, Statistics, Mathematics, or related technical field• Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools• Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, neural nets, etc.• Ability to identify predictive attributes of data sets and perform feature engineering to improve machine learning results• Experience with manipulating big data sets via SQL able to process, filter and present large quantities of data• Experience in one or more programming languages (e.g. Python, R, Scala, etc.)• Experience with Databricks, Tableau and AutoML tools an assetSUMMARY• Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools• Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, neural nets, etc• Ability to identify predictive attributes of data sets and perform feature engineering to improve machine learning results• Experience with manipulating big data sets via SQL able to process, filter and present large quantities of data• Experience in one or more programming languages (e.g. Python, R, Scala, etc.)• Experience with Databricks, Tableau and AutoML tools an assetSummary• Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools• Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, neural nets, etc• Ability to identify predictive attributes of data sets and perform feature engineering to improve machine learning results• Experience with manipulating big data sets via SQL able to process, filter and present large quantities of data• Experience in one or more programming languages (e.g. Python, R, Scala, etc.)• Experience with Databricks, Tableau and AutoML tools an asset
      Our client, a leader in the Retail industry, is looking for several Data Scientists to join their team on a permanent hire basisOverviewThis is an exciting opportunity to join our Innovation and Strategy team at the ground level ! You will be part of our innovation hub located in downtown Toronto where your desire for impact will only be matched by your innate ability to collaborate with other like minded individuals to come up with creative solutions to our retail data science problems.Job DescriptionIn this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations. The Data Scientist will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization. You will be responsible for the building, training, scoring and monitoring of machine learning models. You will work closely with various stakeholders throughout our business to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques.Advantages- work from home initially until quarantine is over- new area being developed within companyResponsibilitiesJob DescriptionIn this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations. The Data Scientist will play a key role in enhancing our advanced analytics and machine learning capabilities within the organization. You will be responsible for the building, training, scoring and monitoring of machine learning models. You will work closely with various stakeholders throughout our business to understand business needs and develop solutions through machine learning or other advanced analytics/predictive modeling techniques.QualificationsJob Requirements• MS/PHD or equivalent in Computer Science, Engineering, Statistics, Mathematics, or related technical field• Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools• Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, neural nets, etc.• Ability to identify predictive attributes of data sets and perform feature engineering to improve machine learning results• Experience with manipulating big data sets via SQL able to process, filter and present large quantities of data• Experience in one or more programming languages (e.g. Python, R, Scala, etc.)• Experience with Databricks, Tableau and AutoML tools an assetSUMMARY• Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools• Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, neural nets, etc• Ability to identify predictive attributes of data sets and perform feature engineering to improve machine learning results• Experience with manipulating big data sets via SQL able to process, filter and present large quantities of data• Experience in one or more programming languages (e.g. Python, R, Scala, etc.)• Experience with Databricks, Tableau and AutoML tools an assetSummary• Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools• Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, neural nets, etc• Ability to identify predictive attributes of data sets and perform feature engineering to improve machine learning results• Experience with manipulating big data sets via SQL able to process, filter and present large quantities of data• Experience in one or more programming languages (e.g. Python, R, Scala, etc.)• Experience with Databricks, Tableau and AutoML tools an asset
      • Hamilton, Ontario
      • Permanent
      Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutionsDevelop scalable and mathematical solutions for complex business problems such as demand forecastingPerform analytical studies and generate actionable recommendations. Use statistical techniques and hypothesis testing to validate your findingsCollect, analyze, and interpret large datasetsProvide ongoing reportsDevelop and implement data collection systems and other strategies that optimize statistical efficiency and data qualityBuild predictive models to predict sales, customer demand and more complex problemsIdentify, analyze, and interpret trends using the data to inform and influence the direction of team roadmaps and inform business decisionsProvide analytical support of key statistical data and metrics related to the performance of Our Clients locations. Build dashboards and reports to drive awareness and understanding to provide actionable intelligence.Conduct insightful, ad hoc analysis to investigate ongoing or one-time operational issuesLocate and define new process improvement opportunitiesBuild strong relationships with the Operations team, the Store Team and other Our clients departments supporting their initiativesOther duties as reasonably assignedIf you feel you are the right fit for this role please email me your word resume to aaron.lail@randstad.caAdvantagesYou will be working very closely with predictive analytics and helping the organization see the bigger picutre.ResponsibilitiesYou will be the main point of contact to capture company data and put this into predictive analytics.QualificationsDegree Qualifications in Data Science, Actuarial Sciences, Mathematics and/or StatisticsAt least 3 -5 years’ professional commercial experience in the use of coding languages as well as statistical analysis and machine learning processesWorking knowledge and experience with databasesDemonstrated ability to use and develop data visualization and reporting technologiesDemonstrated ability to conduct data experimentation and testingOutstanding analytical and problem-solving skillsStrong statistical, and data modeling skillsAdvanced software use with excel (including pivot tables), access, PowerPoint and VisioStrong Presentation skillsExperience using SQL Queries to extract data from relational databaseAbility to influence multifunctional teams to adopt and implement programsExperience in Project Management and Account ManagementSummaryWe are looking for Individuals that can present and communicate strongly to a C level type of audience.
      Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutionsDevelop scalable and mathematical solutions for complex business problems such as demand forecastingPerform analytical studies and generate actionable recommendations. Use statistical techniques and hypothesis testing to validate your findingsCollect, analyze, and interpret large datasetsProvide ongoing reportsDevelop and implement data collection systems and other strategies that optimize statistical efficiency and data qualityBuild predictive models to predict sales, customer demand and more complex problemsIdentify, analyze, and interpret trends using the data to inform and influence the direction of team roadmaps and inform business decisionsProvide analytical support of key statistical data and metrics related to the performance of Our Clients locations. Build dashboards and reports to drive awareness and understanding to provide actionable intelligence.Conduct insightful, ad hoc analysis to investigate ongoing or one-time operational issuesLocate and define new process improvement opportunitiesBuild strong relationships with the Operations team, the Store Team and other Our clients departments supporting their initiativesOther duties as reasonably assignedIf you feel you are the right fit for this role please email me your word resume to aaron.lail@randstad.caAdvantagesYou will be working very closely with predictive analytics and helping the organization see the bigger picutre.ResponsibilitiesYou will be the main point of contact to capture company data and put this into predictive analytics.QualificationsDegree Qualifications in Data Science, Actuarial Sciences, Mathematics and/or StatisticsAt least 3 -5 years’ professional commercial experience in the use of coding languages as well as statistical analysis and machine learning processesWorking knowledge and experience with databasesDemonstrated ability to use and develop data visualization and reporting technologiesDemonstrated ability to conduct data experimentation and testingOutstanding analytical and problem-solving skillsStrong statistical, and data modeling skillsAdvanced software use with excel (including pivot tables), access, PowerPoint and VisioStrong Presentation skillsExperience using SQL Queries to extract data from relational databaseAbility to influence multifunctional teams to adopt and implement programsExperience in Project Management and Account ManagementSummaryWe are looking for Individuals that can present and communicate strongly to a C level type of audience.

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