Remote Lead Data Scientist, AI Research

Our client, a globally recognized leader in scientific innovation, is seeking an exceptional Lead Data Scientist specializing in AI Research to join their groundbreaking team in a fully remote capacity. This pivotal role will involve driving cutting-edge research and development in artificial intelligence, machine learning, and data analytics, contributing to transformative scientific advancements.

As a Remote Lead Data Scientist, AI Research, you will:

Lead and mentor a team of talented data scientists and researchers in the design and execution of AI/ML projects. Develop novel algorithms and models for complex data analysis, prediction, and pattern recognition. Conduct advanced statistical analysis and build sophisticated machine learning models to address challenging scientific problems. Stay at the forefront of AI research, exploring and implementing state-of-the-art techniques and technologies. Collaborate with cross-functional teams of scientists and engineers to integrate AI solutions into research pipelines and products. Design and manage large-scale experiments, analyze results, and communicate findings effectively to technical and non-technical audiences. Contribute to the publication of research findings in peer-reviewed journals and presentations at leading conferences. Ensure the ethical development and deployment of AI systems, adhering to best practices and guidelines. Evaluate and select appropriate tools, technologies, and platforms for data processing, model training, and deployment. Drive innovation and foster a collaborative research environment within the team.

The ideal candidate will possess a PhD or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, with a strong focus on Artificial Intelligence and Machine Learning. A minimum of 7 years of experience in data science and AI research, with demonstrated leadership experience, is required. Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R), and big data technologies is essential. Proven track record of successfully developing and deploying AI models in a research or product development setting is critical. Exceptional analytical, problem-solving, and communication skills are necessary for effective remote collaboration and knowledge dissemination. You should have a strong publication record or significant contributions to open-source AI projects. This is an unparalleled opportunity to shape the future of AI research from a remote setting, working on impactful projects with a world-class organization.