Data Scientist III

Role overview

Responsibilities

• Assess and document end-to-end processes, pain points, controls, dependencies, and handoffs.
• Facilitate workshops to consolidate processes and define current- and future-state workflows.
• Prioritize AI, automation, and analytics opportunities by value, feasibility, risk, and adoption readiness.
• Translate opportunities into use cases, requirements, success measures, delivery plans, and change impacts.
• Lead initiatives from discovery and proof of concept through implementation, validation, rollout, and improvement.
• Develop project plans and track milestones, dependencies, risks, decisions, accountabilities, and status; escalate issues as needed.
• Align business, technology, data, risk, privacy, and governance partners and support adoption.
• Establish responsible AI governance and quality controls; track adoption, efficiency, quality, and business outcomes.

Qualifications and technical skills

• Undergraduate or advanced degree in a related quantitative field; a graduate degree is preferred.
• Five or more years in data science, analytics, AI or 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 common data and machine-learning libraries and Databricks or a comparable cloud analytics platform.
• Experience prototyping, testing, and operationalizing AI solutions, including evaluation, human-in-the-loop controls, monitoring, documentation, and responsible AI.
• Experience integrating AI or automation with enterprise data, APIs, semantic models, reporting tools, and business workflows; Power BI is an asset.
• Strong data analysis and visualization skills.

Pay details

• Posted base pay range is $96,900–$136,800 CAD; the description does not specify a pay cadence.

Hours

• The stated hours are 37.5.