Data Scientist III

Role overview

Responsibilities

• Document processes, pain points, controls, dependencies, and handoffs; facilitate workshops to define current and future workflows.
• Identify and prioritize AI, automation, and analytics opportunities and translate them into use cases, requirements, measures, delivery plans, and change impacts.
• Lead initiatives from discovery and proof of concept through implementation, validation, rollout, and continuous improvement.
• Plan milestones, dependencies, risks, decisions, and accountabilities; report status and escalate issues.
• Build cross-functional alignment and establish practical governance and quality controls for responsible, traceable, testable AI processes.
• Track adoption, efficiency, quality, and business outcomes after implementation.

Job requirements

• Undergraduate or advanced degree in a quantitative field such as data science, computer science, engineering, statistics, business analytics, or operations research; graduate degree preferred.
• At least 5 years in data science, analytics, AI/automation delivery, process transformation, consulting, or cross-functional project leadership.
• Working knowledge of generative AI, machine learning, NLP, AI assistants or agents, prompt design, and workflow automation.
• Proficiency in Python and SQL; experience with data and machine-learning libraries and Databricks or a comparable cloud analytics platform.
• Experience operationalizing AI solutions with evaluation, human-in-the-loop controls, monitoring, documentation, and responsible AI practices.
• Experience integrating AI or automation with enterprise data, APIs, semantic models, reporting tools, and business workflows; Power BI is an asset.
• Strong process redesign, project delivery, stakeholder influence, communication, facilitation, and data analysis skills.

Pay details

• The posting lists a pay range of CAD 96,900–136,800; no compensation cadence is stated.

Hours

• The listed hours are 37.5.

Department