Decision Scientist, Decision Sciences
Core
Build and validate statistical and machine learning models to drive data-informed business decisions for credit decisioning, risk management, and customer experience optimization.
Role type
Decision Scientist (IC)
Builds
Scalable data pipelines, production ML models, and analytical solutions for 1P Lending
Domain
Fintech / Credit Risk / E-commerce
Deliverable
production ML models
Required skills
Statistical modeling, Machine learning, A/B testing, SQL, Python/R, Data pipeline development, Metrics definition, Root cause analysis
Preferred skills
Clustered data processing (Hadoop/Spark), AWS Solutions, Quantitative analysis for business decisions
Technologies
Logistic regression, Gradient boosting, Survival analysis, Random forests, Decision trees, SQL, Python, R, Hadoop, Spark, AWS (EC2, S3, Redshift, EMR)
Responsibilities
Build and validate statistical and machine learning models using standard methodologies; Design, execute, and analyze A/B tests and controlled experiments; Drive end-to-end delivery of scalable data pipelines from ideation to production deployment; Create and maintain metrics and KPIs to quantify model performance and business improvement; Conduct root cause analysis on business performance trends and anomalies.
Seniority
Mid-level, hands-on IC