Nathan Bice is a Data Science Manager at Rockstar Games who builds high-impact analytics teams and runs a flagship internship program, drawing on eight years of industry experience across consulting, risk management, and applied machine learning. He has led ML initiatives at American Express to predict default and detect fraud, served as lead data scientist for digital transformation at Artefact, and built predictive systems early in his career at BDIPlus. Nathan pairs practical data engineering and model-building skills (PySpark, Python, Hive) with deep academic training—he recently completed a PhD in Philosophy at Columbia focused on logic and foundations of mathematics. That background informs a distinctive interest in formal languages and the cognitive structure of intelligence, which he brings to applied AI problems at scale. Based in New York, he combines technical leadership, curriculum-style training experience, and a researcher's rigor to develop both people and production-ready models.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at University of Wisconsin-Madison
Doctor of Philosophy (PhD), Philosophy, Doctor of Philosophy (PhD), Philosophy at Columbia University in the City of New York
Certificate, Mandarin Chinese, Certificate, Mandarin Chinese at Peking University
Contributions:4 PRs, 30 pushes, 4 branches in 21 days
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Nathan Bice - Data Science Manager, Emerging Talent