Predictive Analytics Consultant

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for leading the design and delivery of critical solutions like Automated Underwriting and Risk Scoring, and Portfolio Monitoring. The position will focus on building, testing, validating, and deploying predictive and optimization models that support credit underwriting decisions in AWS. The ideal candidate will possess deep expertise in AWS to own the end-to-end deployment and operationalization of machine learning models in production environments. You will architect and implement scalable ML infrastructure leveraging AWS SageMaker, Lambda, and Step Functions to automate model deployment, retraining, and inference pipelines. You will design and deploy comprehensive monitoring solutions using CloudWatch and custom metrics to track model performance, detect data drift, and identify outliers and anomalies in real-time. Your responsibilities include establishing MLOps best practices and building data quality systems, implement alert mechanisms for performance degradation, and ensure logging and tracing for explainability and compliance. You should be comfortable optimizing costs through resource management and scaling strategies while maintaining enterprise-level reliability, observability, and security. The ideal candidate will have proven experience deploying ML systems at scale, strong [... source excerpt omitted ...] unctions, and other cloud-native technologies. Develop scalable and automated workflows for model training, deployment, retraining, and inference to ensure efficient and reliable production operations. Design and implement comprehensive model monitoring frameworks to track model performance, detect data drift, identify anomalies, and ensure continued model accuracy. Build and maintain data quality validation processes that verify data integrity, identify inconsistencies, and support reliable model performance. Establish monitoring, logging, tracing, and alerting capabilities that provide visibility into production systems and enable rapid identification and resolution of issues [... source excerpt omitted ...] ion, documentation, and lifecycle management. Optimize AWS infrastructure for performance, scalability, security, reliability, and cost efficiency while ensuring enterprise-grade production standards. Partner with data scientists, software engineers, product teams, and business stakeholders to translate analytical solutions into production-ready applications. Conduct model validation, performance testing, and ongoing maintenance to ensure predictive models remain accurate, compliant, and aligned with business objectives. Research, evaluate, and implement new machine learning technologies, cloud services, and analytical methodologies to continuously improve predictive capabiliti