
Data Scientist - IT Architecture
- Toronto, ON
- Permanent
- Full-time
- Developing models using appropriate data science techniques to generate actionable insights
- Identifying data sources within the business and integration of those sources into the data technology platforms to support analysis and data workflows
- Ad hoc analysis as needed and requested by business representatives
- Thought leadership on data organization, approaches, workflows, and processes that allow the translation of real-world business problems into useful internal and external products and services
- Maintaining up-to-date industry knowledge around the practice of Data Science and the technology stacks that support it
- Collaborating with IT, Digital, and Broadcast technology departments to implement data-driven workflow solutions
- Working with Data Science team members to design and operate the technology stack that supports data analysis
- Maintaining knowledge about machine learning operational expertise across hybrid cloud platforms
- Participation in data governance, ethics, and policy initiative
- Providing operational support for automated data pipelines
- Assisting to explore, identify, and construct business use cases for the integration of artificial intelligence technology
- Supporting technical proposals for external/internal products and services
- Providing regular support to stakeholders/clients as needed
- BA/BS or MS degree in Computer Science, Data Science, Applied Mathematics or other related field
- Expertise in data science related development language (we currently use Python, but the ability to code in another languages is welcome)
- Experience working with cloud-based technology stacks for data analytics, including Amazon Web Services, Google Cloud Platform, and Azure
- Ability to evaluate hypotheses and build statistical models
- Demonstrated expertise in Natural Language Processing, Deep Learning, and various machine learning methodologies
- Demonstrated experience operating within an Agile framework
- Skilled in data visualization and presenting data-driven insights
- Understanding of the engineering/software development lifecycle
- Strong communicator, able to collaborate with technical teams and translate information for non-technical stakeholders easily
- Proven capacity to deliver excellent results to stakeholders/clients
- Commitment to continuous learning in a fast-evolving industry
- Effective communication and presentation skills (written and verbal)