Data Scientist; Senior Product Analyst

Position Overview

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:
Product Management

Pay Details: $81,600 - $115,200 CAD. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are a defining feature 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.

When you work in RESL, you're helping potential Canadian homeowners achieve their home ownership dreams. And as we relentlessly pursue this goal, we work with vendors and partners across the Bank building out new capabilities, driving both big and small "i" innovation, and disrupting the industry with our market leading digital solutions. RESL is a dynamic and complex business. You'll have opportunities to gain foundational knowledge, skills and specialized expertise that is transferable throughout the Bank.

Because of our size, scale, unique distribution channels and operating environment, you can also grow and advance your career for many years within the business. This is a place where you make a difference. Anchored by an inclusive culture, you'll work smart, fast, and build your network. You'll be supported in your career journey, receive thanks and rewards for your impact, and you'll have some laughs along the way.

• Undergraduate degree required
• Advanced technical degree
• RESL experience and background is considered an asset
• Experience with structured and unstructured data, feature engineering, and model interpretability techniques
• Experience writing clear, maintainable, and extensible code
• Excellent verbal and written communication skills, with the ability to explain complex policies and procedures clearly
• Experience in developing standardized workflows and processes to support compliance and governance
• Strong understanding of model lifecycle management (e.g., development, validation, implementation, and monitoring)
• Strong organizational skills to manage multiple tasks and deadlines
• Excellent problem solving, analytical, and strategic thinking skills, with the capability to remove obstacles and recommend implementable solutions
• Skill in using Microsoft office such as Word, Excel, PowerPoint; knowledge of data analytical tools is an asset
• A proactive approach to process improvement and identifying best practices for compliance
• Proven ability to collaborate effectively with cross-functional teams; facilitate alignment on governance requirements is considered a plus
• Proficiency in Databricks, Python and modern open source ML libraries

Our Total Rewards package includes base salary, variable compensation, health and well‑being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more.

At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.

Sans Objet