Senior Decision Scientist, Decision Sciences
Core
Design, build, and deploy machine learning models and analytical frameworks for credit risk assessment, income estimation, fraud detection, and portfolio optimization in lending.
Role type
Senior IC decision scientist (fintech lending)
Builds
Production ML models for credit lifecycle stages (scoring, income prediction, collection, fraud detection) and scalable data pipelines
Domain
Fintech / Lending / Credit Risk
Deliverable
production ML models
Required skills
Machine learning, SQL, Python, statistical modeling, model validation, regulatory compliance, data pipeline development, performance optimization, cross-functional collaboration, mentorship
Preferred skills
AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2), clustered data processing (Hadoop, Spark, Map-reduce, Hive), quantitative analysis, GenAI model benchmarking
Technologies
Python, SQL, AWS, Hadoop, Spark, Monte Carlo Simulations, DNNs, Probabilistic Graph Models
Responsibilities
Define and implement complex ML solutions for credit lifecycle stages; create robust model validation and governance; deploy ML solutions in production with sub-second latency; develop new modeling techniques for innovative lending products; drive end-to-end delivery of scalable data pipelines; optimize performance and accuracy of existing ML solutions; lead analytical design for new global market geographies; mentor junior team members
Seniority
Senior, hands-on IC