Job Description
Job Description
Cape Fox is seeking a skilled Data Scientist with a strong background in unsupervised learning, predictive analytics, and algorithm development to support a government client. This role involves designing and deploying tree-based clustering models, implementing core algorithms such as decision trees and k-nearest neighbors from scratch, optimizing data structures like distance matrices, and writing efficient, vectorized Python code. The ideal candidate will hold a Bachelor’s degree in a quantitative field such as Computer Science, Applied Mathematics, or Economics, and have at least three years of hands-on experience in predictive analytics and Python development using libraries like NumPy, Pandas, Matplotlib, and Scikit-learn. Highly desirable qualifications include experience with AI/ML dashboard integration, dimensionality reduction, deep learning frameworks (TensorFlow, PyTorch), and familiarity with human biology, performance, and pri...
Apply for this Position
Ready to join Cape Fox Federal Contracting Group? Click the button below to submit your application.
Submit Application