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data scientistTD Bank • Toronto, ON, CA
data scientist

data scientist

TD Bank • Toronto, ON, CA
30+ days ago
Job type
  • Full-time
Job description

Job Details

  • Company : TD Bank
  • Title : Applied Machine Learning Scientist II
  • Location : Toronto, Ontario, Canada
  • Hours : 37.5 per week
  • Pay : $114,000 - $154,000 CAD
  • Posted : Oct 24, 2025

Job Description

  • Develop and implement customer engagement strategy, optimizing engagement across the product and service portfolio.
  • Develop complex and advanced machine learning models that learn from and scale to petabytes of data.
  • Design and deliver enterprise analytic solutions for customers.
  • Develop powerful business insights from social, marketing, and industrial data using advanced machine learning techniques.
  • Provide insight into leading analytic practices and iterative learning cycles, producing innovative analytic solutions as core deliverables.
  • Conduct internal and external research projects; support development and delivery of presentations and communications to management or broader audiences.
  • Actively manage relationships within and across business lines, corporate and / or control functions, ensuring alignment with enterprise and regulatory requirements.
  • Keep current on emerging trends and developments, and grow knowledge of business, related tools, and techniques.
  • Act as a brand ambassador for your business area / function and the bank, both internally and / or externally.
  • Qualifications

  • Undergraduate degree in STEM required (computer science, engineering, math, or physics).
  • Graduate’s degree preferred with progressive project work experience.
  • Solid knowledge of applied Machine Learning, Deep Learning, and Large Language Models.
  • Experience with Optimization and Operations Research methodologies in a commercial marketing context.
  • Strong coding proficiency in Python, Java, or Scala.
  • Cloud experience with Azure or AWS and cloud AI / ML services such as Databricks, Kubernetes, Docker, container orchestration, Azure Machine Learning, and Azure Data Factory.
  • 5+ years of relevant experience.
  • Application Deadline

    Advertised until 2025-11-22

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