Lead Data Scientist, Machine Learning

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September 30

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The Brick

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Retail • eCommerce • Furniture

The Brick is a Canadian retail chain specializing in furniture, mattresses, appliances, and home decor. With over 200 locations across Canada and a robust online shopping platform, The Brick provides a wide range of products for every room in the house, including living room furniture, bedroom sets, dining room items, and kitchen appliances. They pride themselves on offering quality products and excellent customer service, catering to diverse spaces, including small living areas.

5001 - 10000 employees

Founded 1971

🛒 Retail

🛍️ eCommerce

📋 Description

• Own and shape the company's machine learning landscape with a focus on credit risk and portfolio health • Design, build, and continuously improve credit scoring models using credit bureau, behavioral, and alternative data sources • Leverage advanced ML/AI techniques (gradient boosting, neural networks, feature engineering) to optimize risk assessment • Own the ML lifecycle from experimentation to production, ensuring scalable, robust, and explainable models in partnership with engineering teams • Set up monitoring, model validation, and performance tracking systems to ensure predictive stability and compliance • Collaborate with product, operations, and risk analysis teams to integrate ML-driven solutions into lending, collections, and new product launches • Act as subject-matter expert in data science for risk, mentoring team members and setting best practices for model governance, fairness, and interpretability

🎯 Requirements

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field (Titulado) • English: Advanced (B1 or B2) • 5+ years experience in applied machine learning, focused on credit risk, consumer lending, or financial services • 5+ years experience with Python • 5+ years experience with SQL • 5+ years experience with ML frameworks (e.g., scikit-learn, XGBoost; TensorFlow/PyTorch nice to have) • 5+ years experience deploying and maintaining ML models in production • Familiarity with credit bureau data, behavioral analytics, and alternative data sources • 5+ years experience with BI/visualization tools (e.g., Tableau, Power BI, Looker)

🏖️ Benefits

• MX$ 110,000.00 - MX$ 118,000.00 (Mexican Peso) salary range shown on posting • $6,000 to $6,500 USD NET Salary offered • Flexible work locations (Remote job) • Relocation options available • Competitive compensation package aligned with experience • Opportunity to shape the company's ML and risk strategy • Mission-driven, collaborative team environment