The successful Data Scientist Architect will join an enthusiastic team responsible for designing and implementing the bank’s enterprise-wide data science platform by envisioning and executing projects that leverage modern data science and distributed high-performance computing capabilities to implement mission-critical end-to-end solutions for the global business.
This role is highly collaborative: the Data Scientist Architect will develop and maintain consultative relationships with key business stakeholders including business executives, data scientists, data engineers/technologists, risk/compliance functions and other teams across the bank on a broad range of data science projects with a particular focus on machine learning. Many projects involve text/NLP.
In total we are seeking three Data Scientists to oversee three areas of responsibility:
We believe that solid career experience in data science is critical to building an exceptional enterprise data science platform. Therefore we’re looking for data scientists who are keen to use their modeling experience to design and build a state-of-the art data science platform for a community of many thousands of data scientists and hundreds of complex ML/AI models deployed in real-time and at scale.
The ideal candidate will have strong quantitative qualifications and excellent communication skills ideally with experience across data science, computer science, business and project management.
Shift:1st shift (United States of America)
Hours Per Week:40
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