Senior Data Scientist, Predictive Modeling, Credit & Risk
Core
Developing, validating, and productionizing high-impact predictive models for credit and risk assessment to inform business decisioning.
Role type
Senior individual contributor machine learning engineer (credit & risk)
Builds
Production credit and risk models, scalable modeling infrastructure, and reusable data signals
Domain
Automotive retail, credit risk, financial modeling
Deliverable
production ML models
Required skills
predictive modeling, gradient boosting (LightGBM/XGBoost), neural networks, representation learning, embeddings, transformer-based approaches, statistical intuition, Python, SQL
Preferred skills
deep representation models, unstructured data integration, model monitoring and drift detection, high-stakes modeling environments
Technologies
LightGBM, XGBoost, Python, SQL
Responsibilities
Improve core credit and risk models through incremental advancements in accuracy and robustness; Design, train, and deploy advanced machine learning models; Build and apply rigorous evaluation frameworks (backtests, simulations, online experiments); Partner with data engineering teams to ensure models are production-ready; Translate successful work into reusable patterns and abstractions; Serve as a technical leader through design and code reviews
Seniority
Senior, hands-on IC