Principal Data Scientist (Remote) at Migo Money Incorporated
Job Description
Migo Money Incorporated is seeking a highly skilled Principal Data Scientist to lead credit risk modelling and machine learning strategy. The role involves end-to-end management of ML pipelines, research and application of advanced modelling techniques, and driving impactful financial decision-making across lending, forecasting, and market expansion.
Key Responsibilities
- Design, develop, and manage credit scoring, underwriting, and forecasting models.
- Lead the development and deployment of machine learning pipelines, including ETL, data preprocessing, feature engineering, and model training.
- Apply statistical best practices, causal inference, and rigorous performance evaluation in all modelling efforts.
- Collaborate with cross-functional teams to adapt and generalize solutions for new markets.
- Ensure data integrity, scalable model deployment, and governance of financial risk models.
Requirements
Candidates should demonstrate:
- A PhD in Computer Science, Statistics, Economics, Physics, or equivalent practical experience.
- Strong expertise in machine learning and statistical concepts such as regularization, prediction vs. inference, multiple testing, and cross-validation.
- Proven experience in developing and deploying credit risk models, ETL pipelines, and feature engineering workflows.
- Proficiency in Python, SQL, and object-oriented programming, with hands-on experience in production ML models.
- Familiarity with A/B testing, boosting/bagging, and methods for tabular data in finance or lending contexts.
- Strong knowledge of causal inference concepts including confounding, positivity assumption, and exchangeability.
