Risk Data Scientist

Working remotely, the full-time Risk Data Scientist will research, model, implement, and validate algorithms to analyze diverse data sources, contributing to effective risk management and business problem-solving. Key responsibilities Works with large structured and unstructured datasets to unlock value across business functions Builds and tests machine learning and AI models while designing data visualizations for communication with business leaders Utilizes Big Data tools to develop data analytics solutions and draws insights for informed decision-making Required qualifications Bachelor's degree with four years, Master's degree with two years, or Ph.D. with two years of experience in a quantitative/analytical/STEM field One year of hands-on experience with Big Data technologies such as Hadoop or Spark Two years of experience with statistical and predictive modeling concepts, including machine learning techniques Two years of programming experience analyzing large datasets using tools like Python or R Proficiency in data visualization tools such as Power BI or Tableau