Applied Machine Learning Scientist II

🔥 14 hours ago

🇨🇦 Canada – Remote

💵 $125.5k - $154k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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TD

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1855

🏦 Banking

💸 Finance

🛡️ Insurance

💰 Grant on 2023-10

Banking • Finance • Insurance

TD is one of North America's biggest banks offering a wide range of banking services including personal and business banking, insurance, wealth management, and securities. TD is committed to sustainability, diversity, equity, and inclusion, ensuring a supportive and inclusive workplace where employees are empowered to grow. The bank provides various roles and career opportunities across different regions with a focus on community impact and professional development. TD's culture is defined by care and respect, aimed at benefiting their business performance, customers, and communities.

📋 Description

• Provide technical expertise and develop and implement state-of-the-art machine learning models for personal banking products, including marketing, risk management, and strategy optimization • Analyze large and complex structured and unstructured datasets scaling to petabytes • Deploy deep learning techniques, including large language models, to develop solutions • Perform feature engineering and selection from raw data to enhance model accuracy and interpretability • Conduct research and support development • Prepare and deliver presentations • Communicate project progress, plans, and risks to stakeholders • Manage relationships across business lines, corporate and control functions • Ensure alignment with enterprise and regulatory requirements • Create and maintain appropriate documentation • Manage programs, policies, and practices to meet business needs and internal and external requirements • Lead, facilitate, and implement actions and remediation plans addressing performance, risk, and governance issues • Monitor emerging issues, trends, and evolving regulatory requirements and assess potential impacts • Maintain a culture of risk management and control aligned with risk appetite • Act as a brand ambassador for the business area and TD

🎯 Requirements

• Advanced university degree (Master's and Ph.D.) in STEM—statistics, computer science, mathematics, physics, engineering etc. • 5+ years of relevant experience • Developed and deployed machine learning models for marketing use cases such as customer propensity, next best action, churn prediction, customer lifetime value, and audience targeting, with demonstrated business impact • Exposure to financial services, banking, retail, telecommunications, or digital marketing ecosystems, including customer segmentation, campaign management, and personalization platforms • Proven experience in development and deployment of machine learning models in production • Solid understanding of machine learning, deep learning, large language models, and traditional statistical methodologies • Hands-on coding experience with Python, PySpark, PyTorch, and SQL • Experience with cloud platforms and MLOps practices • Strong problem-solving skills • Good writing skills • Ability to communicate complex concepts to non-technical audiences

🏖️ Benefits

• Base salary • Variable compensation • Health and well-being benefits • Savings and retirement programs • Paid time off • Banking benefits and discounts • Career development • Reward and recognition programs • Regular development conversations • Training programs • Online learning platform • Mentoring programs • Training and onboarding sessions • Interview accommodations, including accessible meeting rooms and captioning for virtual interviews