Principal Applied Scientist

Job Summary

A company is looking for a Principal Applied Scientist.

Key Responsibilities

• Lead the development and maintenance of advanced statistical and machine learning models for financial forecasting, risk scoring, and anomaly detection
• Collaborate with cross-functional teams to leverage data for financial insights and communicate complex AI/ML concepts to senior leadership
• Research and prototype new AI/ML methodologies to address complex financial challenges and ensure compliance with regulatory frameworks

Required Qualifications

• Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, Financial Engineering, or related STEM fields
• 8+ years of experience in applied machine learning and predictive modeling, preferably in finance or healthcare
• Proven expertise in financial forecasting, risk modeling, and large-scale data analysis
• Strong proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow)
• Experience with big-data technologies and scalable model deployment in cloud environments