Data Scientist
Core
Build predictive models and ML pipelines to support consumer lending lifecycle decision points and business strategy.
Role type
Senior IC data scientist (predictive modeling & ML)
Builds
Automated, reusable analytical components and scalable data products for consumer lending
Domain
Financial services (consumer lending, credit risk)
Deliverable
production ML models
Required skills
predictive modeling, statistical analysis, machine learning deployment, feature engineering, model performance evaluation, hyperparameter optimization
Preferred skills
financial services domain experience (credit risk, marketing, collections), large-scale data processing (PySpark, BigQuery, Snowflake, Hadoop), MLOps best practices, CI/CD pipelines
Technologies
Python, SQL, GCP, AWS, Azure, PySpark, BigQuery, Snowflake, Hadoop, Git
Responsibilities
Design and optimize predictive models and ML pipelines; Extract, clean, and feature-engineer large-scale datasets; Translate business requirements into automated analytical components; Present technical findings and model metrics to leadership; Conduct code and model reviews for peers and juniors
Seniority
Senior, hands-on IC