Data Scientist III

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Data Scientist III page is loaded## Data Scientist IIIremote type:
On Site locations:
Toronto, Ontario time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
February 20, 2026 (7 days left to apply) job requisition :
R 1469759
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* Work Location:

** Toronto, Ontario, Canada
*
* Hours:

** 37.5
** Line of Business:
** Analytics, Insights, & Artificial Intelligence
** Pay Details:**$96,900 - $136,800 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
*
* Job Description:

**** Department Description
** The Analytics, Insights & Artificial Intelligence (AI2) team delivers data- and analytics-driven insights that support informed decision-making and strategic planning across the organization. Within AI2, the Canadian Personal Banking (CPB) team provides end-to-end analytics support—including reporting, advanced analytics, and AI solutions—to drive measurable business value.
** Job Description
** The Data Scientist III reports to the Senior Manager,
** Specialized Sales Force (SSF),
** and serves as a subject-matter expert in Power BI semantic modeling, with deep DAX expertise and strong visualization and technical capabilities. This role demands exceptional communication skills and a genuine passion for solving complex business problems.

The successful candidate will provide thought leadership in shaping the future state of the reporting stack and roadmap—including Artemis—while strengthening integration between AI2 and business partners. In addition, the role leads AI-driven initiatives and translates complex analytical outputs into clear, actionable insights to optimize sales pipeline performance and business outcomes, working in close partnership with business, risk, and technology teams.
** Key Responsibilities
*** Lead end-to-end development of Power BI dashboards and reporting packages for the Specialized Salesforce (SSF) team.
* Define and influence the future state of BI reporting, aligning with Artemis benchmarks.
* Champion best practices for visualization and reporting standards across AI2.
* Lead advanced analytical work (e.g., regression, clustering, time series, causal inference) to solve complex business problems.
* Act as a trusted advisor to business partners, influencing decisions through clear, compelling insights.
* Design and build scalable data assets, dashboards, and analytical tools to enable repeatable insights.
* Collaborate with Data & Technology partners to develop high-quality, reliable, and reusable data assets.
* Communicate insights effectively to both technical and non-technical audiences, including senior leadership.
* Mentor junior data scientists and contribute to analytics best practices.
** Qualifications
* ** Advanced proficiency in Power BI (Premium) and Tableau.
* DAX Expert with Strong ETL skills using Databricks, Azure, Python, SQL and Git Hub.
* Experience with agile delivery methodologies, time estimation and documentation tools (Confluence, Jira).
* Familiarity with wire framing tools (Adobe XD, Figma) is an asset.
* Advanced proficiency in SQL and Python/PySpark, with experience building production-ready analytical solutions.
* 5+ years of experience in data science or advanced analytics, with ownership of complex, high-impact initiatives.
* Degree in quantitative discipline (e.g., data science, business management, statistics, economics, computer science, engineering).
* Strong foundation in statistics, experimentation (A/B testing), and applied machine learning.
* Experience developing analytical data…