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    1 job found for Data scientist in Toronto, Ontario

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      • Toronto, Ontario
      • Contract
      Position OverviewAs a global leader in 3D design, engineering, and entertainment software, we help people imagine, design, and create a better world. We accelerate better design through an unparalleled depth of experience and a broad portfolio of software to give customers the power to solve their design, business, and environmental challenges. The Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to AutoCAD users. We are looking for a Sherlock Holmes that can put on that data detective hat and get their hands dirty.AdvantagesWork with a world leader in 3D Design, Engineering Technology. Work with highly technical, like minded technical detectives !ResponsibilitiesResponsibilities• Work on a variety of problems that seek to better understand how customersuse their products and what drives deeper adoption and usage of products- Apply your quantitative analysis, data mining and machine learning expertiseto building models that make sense of user needs, usage patterns, factorsthat drive deeper adoption • Influence product development, strategy and roadmap prioritization- Design and implement machine learning pipelines that improve Autodesk’sevidence-based decision-making capabilities- Tackle complex problems requiring a creative mindset to find innovative andelegant solutionsQualificationsMinimum Qualifications• BS/MS/PhD in the fields of: Mathematics, Physical Sciences,Statistics/Analytics, Computer Science, or other relevant fields• 2+ years of industry experience and a passion for designing, analyzing anddeploying machine learning-based solutions• Experience working with relational SQL and/or NoSQL databases• Experience working with big data platforms (Hadoop, Spark, Hive)• Fluency with one or more programing language: Python, Java, Scala, etc.• Good understanding of CS fundamentals, e.g. algorithms and datastructures• Experience in statistical programming tools such as R, Matlab, SAS, etc.• Experience with data science toolkits like: pandas, Jupyter, scikit,TensorFlow, etc.• Familiarity with statistics concepts and analysis, e.g. hypothesis testing,regression, etc.• Familiarity with Machine Learning techniques, e.g. classification, clustering,regularization, optimization, dimension reduction, etc.• Ability to write good quality, well-documented, scalable code - Pythonpreferred. Experience tools like mlFlow, Airflow, Cron, Docker and CloudPlatforms such as AWS/GCP is a plus• Good communication skills and ability to explain complex topics to a nontechnical audiencePreferred Qualifications• Pursuing a Masters or PhD in Statistics, Math, Computer Science, InformationScience, Data Science, Analytics, Machine Learning, Physical Sciences, or arelated field• Self-starter: Can take a big idea or a complex problem, mine data to createinsights, and use those insights to establish a point-of-view on the idea / problem• Desire to learn in a fast-paced environmentSummaryAre you the Sherlock Holms Detective we are looking for ? If so, apply ASAP !!Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.
      Position OverviewAs a global leader in 3D design, engineering, and entertainment software, we help people imagine, design, and create a better world. We accelerate better design through an unparalleled depth of experience and a broad portfolio of software to give customers the power to solve their design, business, and environmental challenges. The Experience Analytics team is seeking a Data Scientist for the Incubation team. You will be working on a myriad of analytics related to a data product that provides ML insights to AutoCAD users. We are looking for a Sherlock Holmes that can put on that data detective hat and get their hands dirty.AdvantagesWork with a world leader in 3D Design, Engineering Technology. Work with highly technical, like minded technical detectives !ResponsibilitiesResponsibilities• Work on a variety of problems that seek to better understand how customersuse their products and what drives deeper adoption and usage of products- Apply your quantitative analysis, data mining and machine learning expertiseto building models that make sense of user needs, usage patterns, factorsthat drive deeper adoption • Influence product development, strategy and roadmap prioritization- Design and implement machine learning pipelines that improve Autodesk’sevidence-based decision-making capabilities- Tackle complex problems requiring a creative mindset to find innovative andelegant solutionsQualificationsMinimum Qualifications• BS/MS/PhD in the fields of: Mathematics, Physical Sciences,Statistics/Analytics, Computer Science, or other relevant fields• 2+ years of industry experience and a passion for designing, analyzing anddeploying machine learning-based solutions• Experience working with relational SQL and/or NoSQL databases• Experience working with big data platforms (Hadoop, Spark, Hive)• Fluency with one or more programing language: Python, Java, Scala, etc.• Good understanding of CS fundamentals, e.g. algorithms and datastructures• Experience in statistical programming tools such as R, Matlab, SAS, etc.• Experience with data science toolkits like: pandas, Jupyter, scikit,TensorFlow, etc.• Familiarity with statistics concepts and analysis, e.g. hypothesis testing,regression, etc.• Familiarity with Machine Learning techniques, e.g. classification, clustering,regularization, optimization, dimension reduction, etc.• Ability to write good quality, well-documented, scalable code - Pythonpreferred. Experience tools like mlFlow, Airflow, Cron, Docker and CloudPlatforms such as AWS/GCP is a plus• Good communication skills and ability to explain complex topics to a nontechnical audiencePreferred Qualifications• Pursuing a Masters or PhD in Statistics, Math, Computer Science, InformationScience, Data Science, Analytics, Machine Learning, Physical Sciences, or arelated field• Self-starter: Can take a big idea or a complex problem, mine data to createinsights, and use those insights to establish a point-of-view on the idea / problem• Desire to learn in a fast-paced environmentSummaryAre you the Sherlock Holms Detective we are looking for ? If so, apply ASAP !!Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.Randstad Canada is also committed to developing an inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner.Information received relating to accommodation measures will be addressed confidentially.For all feedback on equity and accommodation needs, please contact your local Randstad Canada Branch.

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