Senior Data Scientist

The role

The Senior Data Scientist will design, develop, and implement predictive and prescriptive models to address business needs. This role involves partnering with business, product, marketing, finance, and technology teams to translate complex challenges into data science solutions.

What you will do

• Design, develop, validate, and implement predictive and prescriptive models.
• Improve the modeling process including feature selection, development, validation, and monitoring.
• Lead the development and enhancement of Customer Lifetime Value (CLV) models.
• Partner with business stakeholders to provide data-driven insights through ad hoc analytics.
• Analyze large and complex financial datasets to extract patterns and features.
• Ensure models comply with industry regulations, internal policies, and audit requirements.
• Monitor model performance and implement retraining or improvements.
• Lead strategic data science initiatives like portfolio optimization and customer behavior analysis.

Required qualifications

• Master’s degree with 5+ years of hands-on experience in data science, econometrics, statistics, financial economics, or a related quantitative field, or PhD with 2+ years.
• Experience developing, validating, implementing, monitoring, and refining predictive models and analytical solutions.
• Strong knowledge of statistical and machine learning techniques, feature engineering, and model performance monitoring.
• Advanced proficiency in Python and SQL.
• Strong knowledge of predictive modeling, regression, classification, forecasting, segmentation, and model evaluation techniques.
• Experience with feature engineering, feature selection, model validation, performance monitoring, and model refinement.
• Experience working with large-scale customer, transactional, and financial datasets.
• Strong data visualization and analytical communication skills.
• Bachelor’s degree in a quantitative STEM field such as Computer Science, Data Science, Statistics, Mathematics, Economics, Finance, Engineering, or related discipline.

Nice to have

• Experience with Customer Lifetime Value (CLV), customer behavior, profitability, forecasting, or similar customer-level modeling.
• Experience with IFRS 9, credit risk, expected loss, or other financial models involving segmentation, forward-looking forecasts, and ongoing model monitoring.
• Experience with CLV methodologies, survival analysis, customer behavior modeling, or profitability/forecasting models.
• Knowledge of IFRS 9, credit risk modeling, or other financial modeling frameworks.
• Experience with cloud-based analytics and ML platforms (e.g., SnowFlake, Azure, Databricks).
• Familiarity with MLOps, model deployment, automated monitoring, and improving end-to-end modeling processes.
• Master’s or PhD in Data Science, Statistics, or a closely related quantitative field.

Benefits

• Discretionary annual bonus
• Health and dental plans with 100% of premiums covered
• Employee Assistance Program
• Retirement savings options
• Hybrid work model
• Reimbursement for tuition assistance and professional development
• Discounts through Perkopolis
• Rewards and recognition programs

Before you apply

• Notify MFSG if you require accommodation for interview materials or procedures

About the company

Momentum Financial Services Group is the team behind Money Mart, Canada’s largest non-bank branch network. They provide financial solutions like short-term loans, money transfers, and prepaid cards to underserved communities.