06 Aug
|
The Institute for Performance and Learning
|
Toronto
06 Aug
The Institute for Performance and Learning
Toronto
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $125,500 - $154,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our 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 About the Role We're looking for a highly motivated Applied Machine Learning Scientist II. In this role, you’ll drive the development and deployment of ML solutions that power data-driven decision-making.
You’ll work closely with various teams to bring AI capabilities to life and deliver measurable business impact. This is a unique opportunity work on high-impact initiatives in a rapid-growing function. If you're passionate about solving real-world problems with machine learning and want to make a tangible difference at scale, we'd love to hear from you. What You’ll Do Develop, deploy, and maintain ML models for use cases such as customer segmentation, acquisition, pricing and lifetime value Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics and solution approaches Conduct rigorous model evaluation, A/B testing, and monitoring to ensure model performance, fairness, and stability in production Communicate complex technical results to non-technical stakeholders and provide actionable insights Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements. Keep current on emerging trends and developments, and grow knowledge of the business, related tools, and techniques. Act as a brand ambassador for your business area/function and the
📌 Applied Machine Learning Scientist Ii (Toronto)
🏢 The Institute for Performance and Learning
📍 Toronto