Lead Data Scientist, AI Research

Our client, a cutting-edge research and development organization, is looking for an innovative Lead Data Scientist specializing in AI to spearhead our advanced research initiatives in **Dallas, Texas, US**. This pivotal role involves pushing the boundaries of artificial intelligence, developing novel algorithms, and leading a team of talented data scientists. You will be at the forefront of creating next-generation AI solutions, focusing on machine learning, deep learning, and natural language processing. Your responsibilities will encompass designing and implementing complex AI models, conducting rigorous experimentation, and interpreting results to drive product innovation. This includes architecting end-to-end machine learning pipelines, from data acquisition and preprocessing to model deployment and monitoring. You will collaborate closely with cross-functional teams, including engineers and domain experts, to translate research breakthroughs into tangible applications. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field, with a strong publication record in top-tier AI conferences. Extensive experience in Python, R, and ML frameworks like TensorFlow or PyTorch is mandatory. Proven leadership experience in guiding research projects and mentoring junior scientists is essential. We are seeking individuals with a deep understanding of AI ethics, interpretability, and scalability challenges. This position demands exceptional problem-solving skills, a passion for scientific discovery, and the ability to communicate complex technical concepts to diverse audiences. Contribute to groundbreaking research and make a significant impact in the field of artificial intelligence. The role will involve occasional travel for conferences and team collaborations, complementing the hybrid work structure.