Senior Data Scientist - Credit Risk Modeler (Databricks)

Location: Remote

Company

hirify.global is a remote-first machine learning startup building data products, scalable data infrastructure, AI solutions, and predictive models for business applications.

What you will do

• Take ownership of an existing credit score model based on tree ensembles and gradient boosting.
• Retrain the model and incorporate new features, including digital payments and CISP data.
• Evaluate model performance using AUC-ROC, F1, probability calibration, and other risk metrics.
• Segment the portfolio into risk levels A–F according to credit standards.
• Calculate dynamic credit lines and expected loss by integrating score, potential, and sales history.
• Package the model for production using the MFL framework, PyFunc, model cards, and tests.

Requirements

• Proven experience developing credit-risk or credit-scoring models.
• Experience with supervised machine learning, statistics, and model validation.
• Strong Python skills with scikit-learn and XGBoost.
• Experience with MLflow and understanding of probability of default, expected loss, and exposure.
• Ability to work remotely with data and platform teams while taking ownership of a live financial model.

Nice to have

• Experience in financial services, credit bureaus, or commercial credit portfolios.
• Experience developing AI agents or agentic infrastructure, including Mosaic AI Agent Framework, agent orchestration, or MCP.

Culture & Benefits

• Remote-first work environment.
• Opportunity to work with a multinational beverage company on a live credit-risk model.
• Collaboration with data and platform teams.
• Exposure to partnerships with AWS, Astronomer, and Databricks.
• Focus on technology, collaboration, and continuous learning.