Remote Data Scientist II work centers on Python, SQL, and machine learning for fraud detection and authentication models. The role supports TD’s internal risk capabilities.

As a Data Scientist II, you will develop, validate, and optimize predictive models across fraud and authentication use cases. You will manage data discovery, feature engineering, experimentation, evaluation, documentation, and productionization support. Collaboration spans Strategy, Engineering, Product, Data, Model Validation, and Risk teams.

Key Responsibilities:

- Develop machine learning and statistical fraud detection models
- Lead data preparation, feature engineering, training, and evaluation
- Compare internal models with vendor models and business strategies
- Build documented workflows using Python, SQL, and data platforms




- Monitor stability, performance, data gaps, and remediation actions

Requirements:

- Degree in data science, statistics, mathematics, computer science, engineering, or related field
- Three to five-plus years in data science or machine learning
- Proficiency in Python, SQL, machine learning, and statistical analysis
- Experience developing predictive models in business or production environments
- Solid presentation, communication, and stakeholder management skills

Apply data science, Python, SQL, and model evaluation expertise to TD’s fraud and authentication analytics programs.

📌 Data Scientist II Fraud Analytics (Montreal)
🏢 Safe Engineering Services & technologies
📍 Montreal