Data Scientist II

Role overview

Key responsibilities

• Translate business problems into practical analytics, forecasting, machine learning, or AI solutions.
• Analyze large datasets to identify trends, performance drivers, and operational opportunities.
• Develop and maintain time-series, regression, statistical, and predictive models.
• Use Python, PySpark, and SQL to extract, transform, validate, and analyze data.
• Automate analytical and reporting processes.
• Build dashboards, visualizations, reports, and presentations using Power BI, Tableau, or similar tools.
• Explain methods, insights, and recommendations to technical and non-technical stakeholders.
• Partner across operations, product, analytics, data engineering, and technology to deliver solutions through implementation.
• Contribute to agentic AI initiatives and help colleagues adopt analytics and AI capabilities.

Required qualifications and skills

• Undergraduate or advanced degree in mathematics, statistics, engineering, finance, economics, computer science, data science, or a related field.
• At least three years of relevant professional, project, or research experience.
• Proficiency in Python and SQL for data analysis, modeling, and automation.
• Experience preparing, cleansing, validating, and analyzing large and complex datasets.
• Experience in one or more listed areas: forecasting and regression; statistical analysis, predictive analytics, or machine learning; AI applications; visualization; or cloud and collaborative development tools.
• Strong analytical, problem-solving, communication, and data-storytelling skills.
• Ability to manage multiple priorities and work effectively with business and technology partners.
• Financial services, banking operations, workforce analytics, or capacity planning experience is an asset.

Pay details

• The posted pay range is CAD $81,600–$115,200; no compensation cadence is specified.

Hours

• The stated hours are 37.5.