Paul David
Data Scientist & Research Scientist
- Role
- Data Scientist at Viking
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Paul David
Highly motivated and research-oriented Data and Machine Learning Scientist with a Ph.D. in Mathematics and a proven track record of developing innovative solutions for complex business challenges. Utilizes this foundation to design novel algorithms and models, optimize performance, and extract actionable insights from large-scale data. Proven ability to lead cutting-edge research, translate complex findings into clear and concise communication, and collaborate effectively across teams.• Innovative Research: Developed and published novel mathematical frameworks for anomaly detection and data analysis (e.g, Lie group structure, Riemannian structure for correlation matrices).• Real-World Impact: Successfully implemented machine learning solutions at U-Haul, achieving significant results in sales forecasting, inventory optimization, and logistics planning• Effective Communicator: Highly adept at condensing deeply technical information for non-technical audiences. Excellent presenter who delivers key insights unobstructed by jargon.
Experience
Data Scientist
Oct 2024 — Present · Los Angeles, CA, US
Selected as the first internal data science hire on a high-impact dynamic pricing initiative in collaboration with a top-tier consulting firm to optimize revenue through causal inference and optimization-based models. Projected additional revenue in the 9-figure range.• Developed a supplemental machine learning forecasting pipeline incorporating lagged business-critical features, enhancing the interpretability and flexibility of the core demand model.• Led technical documentation efforts across forecasting and optimization modules to facilitate onboarding, reproducibility, and long-term maintainability of data science assets.• Refactoring legacy model serialization into a scalable MLflow-based system within Databricks, improving model traceability, reproducibility, and alignment with modern MLOps standards.
Education
Claremont Graduate University
Master of Science - MS, Mathematics
2012 — 2015
Claremont Graduate University
Doctor of Philosophy - PhD, Mathematics
2012 — 2019
University of Southern California
Bachelor of Science - BS, Physics
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