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Job Description & How to Apply Below
Data Scientist II page is loaded## Data Scientist IIremote type:
On Site locations:
Toronto, Ontario time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
February 20, 2026 (6 days left to apply) job requisition :
R 1465761
*
* Work Location:
** Toronto, Ontario, Canada
*
* Hours:
** 37.5
** Line of Business:
** Analytics, Insights, & Artificial Intelligence
** Pay Details:**$81,600 - $115,200 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:
*** Undergraduate degree required, advanced technical degree ,relevant experience; higher degree education and research tenure can be counted.
* Strong understanding of Data Science algorithms from a mathematical and statistical standpoint.
* Proven track record in developing end-to-end Data Science projects going through the different phases (ETL, EDA, Model Development, Code Refactoring)
* Experience with Git Hub
* 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 such as MRM/MV and COMO; facilitate alignment on governance requirements is considered a plus
* Understand business context and data infrastructure and translate business problems to viable data science solutions.
* Use a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
* Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
* Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business
* ** EXPERIENCE AND / OR EDUCATION
*** Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
* 3+ year of relevant experience; higher degree education and research tenure can be counted.
*
* Who We Are:
** TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.
TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
** Our Total Rewards Package
** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and…
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