Preferred candidates will have a strong working knowledge of common workflows for data analysis, data preparation and model development. They must have a working knowledge of data analysis and manipulation tools, statistics (e.g. statistical distributions and probability) and have experience with applying supervised and unsupervised learning models to solve well defined problems. They should possess the ability to develop statistical and Deep Learning models, measure their outcomes and be able to interpret them for business stakeholders. Candidates should have a working knowledge of Generative AI models, transformer architectures and when to apply these tools and techniques.
As a Lead Data Scientist at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you are an integral part of team that works to deliver Machine Learning solutions that satisfy pre-defined functional and user requirements with the added dimension of detection and prevention of misuse,...