Job Description:
Responsible for modeling complex business problems and discovering business insights through the use of statistical, algorithmic, mining, and visualization techniques. The data scientist contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
You will join a team based on a trajectory of success, and an organization that has partnered up with big-name brands across different industries thanks to maintaining the highest quality of technical workmanship. This work environment will enable growth for the right person!
Your role:
Understands the decision-making process, workflows, and business and information needs of business unit heads and service manager/owners
Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information
Proactively mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership
Performs large-scale experimentation to identify hidden relationships between variables in large datasets
Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
Visualizes information and develops engaging reports on the results of data analysis using data visualization tools
Develops frameworks and processes to analyze unstructured information collected through social media platforms i.e., wikis, blogs, instant messaging, etc. and traditional sources such as e-mail and SharePoint.
Distributes best practices to analytics and product teams and provides consultations for their data-based experimentations.
Qualifications:
Master's degree or PhD in computer science, statistics, economics or related fields.
Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages.
Experience with big data analysis tools and techniques
Experience building and deploying predictive models, web scrapping, and scalable data pipelines
Experience with Microsoft Azure Cognitive Services is desirable
Up-to-date knowledge of machine learning and data analytics tools and techniques
Experienced at leveraging both structured and unstructured data sources
Data Scientist / Data Analyst and Infrastructure / Computer Science • Toronto, ON
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