Essential Functions

📍Develop and apply cutting-edge algorithms and models, ranging from classical machine learning to deep learning techniques, including advanced neural network architectures such as Transformers, Graph Neural Networks (GNNs), and other emerging paradigms. 📍Pioneer and apply novel data science, deep learning, and AI methodologies to address unique business challenges and drive innovation. 📍 Stay up-to-date with the latest research in machine learning, deep learning, and neural network architectures, integrating relevant advancements into business solutions. 📍 Build, experiment with, and implement statistical, machine learning, and deep learning algorithms - including custom techniques as well as industry-standard tools. 📍Devise and apply advanced methods for explainability and interpretability of deep learning models, including mechanistic interpretability and model transparency techniques.

Qualifications

📍MS or PhD in a quantitative discipline such as Statistics, Data Science, Mathematics, Physics, Operations Research, Engineering, or a related field, with demonstrated strength in machine learning, deep learning, or equivalent practical experience. 📍 7+ years of directly related experience applying data science and machine learning to solve business problems, with proficient Python coding skills and deep expertise in statistical analysis. 📍Exceptional problem-solving abilities, with experience designing and implementing complex data science solutions. 📍Hands-on experience developing and deploying deep learning models using PyTorch, including model architecture design and optimization. 📍Strong background in deep learning, including architectures such as Transformers. Experience with Large Language Models (LLMs), natural language processing (NLP), and advanced expertise in time-series modeling techniques.

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