Principal Data Scientist - Applied Research & Deep Learning
Core
Lead the design, implementation, and delivery of next-generation AI models and algorithms, operating at the intersection of business problem-solving, mathematical modeling, software development, and Agentic AI development.
Role type
Principal Architect (Scientist) specializing in Applied Research & Deep Learning
Builds
Scalable, robust, and secure AI models and algorithms for large-scale enterprise systems
Domain
Supply Chain / Enterprise AI / Applied Mathematics
Deliverable
production ML models
Required skills
Applied Mathematics, Statistical Modeling, Deep Learning, Software Engineering, Linear Algebra, Optimization, Numerical Methods, Statistics, Causal Inference, Model Optimization, Distributed Training, GPU Optimization
Preferred skills
Agentic AI development, First-principles mathematical design, Technical mentorship
Technologies
Transformers, State-space models, Diffusion models, Pruning, Quantization
Responsibilities
Own end-to-end mathematical and statistical architecture of complex AI systems; Design scalable AI models grounded in first-principles; Translate business problems into mathematical and statistical representations; Design, develop, and deploy advanced deep learning models; Optimize models and pipelines for speed, scalability, and accuracy; Act as a technical mentor
Seniority
Principal, hands-on IC with strategic influence