Data Scientist / Data Analyst and Infrastructure / Computer Science

SolveCo Solutions; Toronto; On-site; CAD 80,000 - 120,000; Full time

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

Statistical analysis

Data visualization

Machine learning

Big data analysis

Data mining

Education

Master's degree or PhD in computer science, statistics, or economics

Tools

Microsoft Azure Cognitive Services

Statistical software

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