A company is looking for a Principal Applied Scientist.Key ResponsibilitiesLead the development and maintenance of advanced statistical and machine learning models for financial forecasting, risk scoring, and anomaly detectionCollaborate with cross-functional teams to leverage data for financial insights and communicate complex AI/ML concepts to senior leadershipResearch and prototype new AI/ML methodologies to address complex financial challenges and ensure compliance with regulatory frameworksRequired QualificationsPh.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, Financial Engineering, or related STEM fields8+ years of experience in applied machine learning and predictive modeling, preferably in finance or healthcareProven expertise in financial forecasting, risk modeling, and large-scale data analysisStrong proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow)Experience with big-data technologies and scalable model deployment in cloud environments