Data Scientist I

2 weeks ago

Toronto, Ontario, Canada TD Bank Full time

TD Description
Stay current and competitive. Carve out a career for yourself. Grow with us.

Department Overview

About this Role


As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models.

You will work to develop and/or integrate tools that help with model monitoring, governance and explainability.

You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

Must-Have

  • Experience working on highperformance engineering teams and being part of crossfunctional delivery teams
  • Experience with building and scaling dataintensive software in Python
  • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
  • Experience building and manage a machine learning data pipeline
  • You value good software design and sweat over details in code and API design
  • You enjoy learning new technology and educating others
  • You strive to communicate clearly and with empathy
  • You take great personal pride in building robust and scalable software
  • You are highly accountable and have a strong sense of ownership
  • Ability to do detailed code reviews and give thoughtful feedback

Nice to have:

  • Experience building a library or a framework
  • Knowledge of machine learning algorithms
  • Experience with Azure cloud stack
  • Data analytics
  • Knowledge with C++
  • Knowledge of one of javascript framework, such as React, Vuejs or Angular

Job Requirements

What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

  • University or post-graduate degree
  • Strong academic background (e.g., computer science, engineering)
  • 2+ years relevant experience

Additional Information
- #LI-Hybrid #datascientist

Inclusiveness


At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported.

We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve.

If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.


Job Family

  • Advanced Analytics & Modelling

Job Category - Primary

  • Enterprise Data & Analytics

Job Category(s)

  • Enterprise Data & Analytics

Hours

  • 37.5

Business Line

  • Corporate

Time Type

  • Full Time

Employment Type

  • Regular

Country

  • Canada

Province/State (Primary)

  • Ontario

City (Primary)

  • Toronto

Work Location

  • TD Centre
  • South 79 Wellington Street West

Job Expires

  • 14Jan2023

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