Data Scientist (Senior Product Analyst)

TD•Toronto, ON

1d•CA$81,600 - CA$115,200•Onsite

About The Position

When you work in RESL, you're helping potential Canadian homeowners achieve their homeownership 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's transferable throughout the Bank. And 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 our 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. Reporting to the Senior Product Manager, RESL Data Governance and Management, the Data Scientist role has the following key accountabilities:

Requirements

Undergraduate degree required, advanced technical degree
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

Nice To Haves

RESL experience and background is considered an asset

Responsibilities

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