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Data Scientist / Data Analyst and Infrastructure / Computer Science
Job summary
A leading analytics firm is seeking a Data Scientist to join their Toronto team. The role involves modeling complex business scenarios, conducting statistical analyses, and developing data infrastructure to support executive decision-making. Ideal candidates hold a Master's or PhD and possess advanced skills in statistical analysis, big data tools, and machine learning techniques to drive business insights.
Qualifications
- Master's degree or PhD in a relevant field required.
- Experience in statistical analysis and using advanced statistical software.
- Proficient with big data tools and predictive modeling techniques.
Responsibilities
- Model complex business problems and derive insights through various analytical techniques.
- Translate business needs into reporting requirements for decision support.
- Visualize and report on data analysis results, utilizing data visualization tools.
Skills
Education
Tools
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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.