The Data & Analytics Office (DAO) at the Federal Reserve Bank of New York drives the enterprise data and analytics strategy for the Bank and owns data policy and governance standards. The DAO is responsible for establishing a data foundation for the Bank, building capabilities while setting standards and measurements for data quality, compliance, security, and retention of our data assets. In addition, the DAO focuses on innovating through and driving advanced analytics in collaboration across the System. The data scientist has extensive experience applying advanced analytics skills and techniques and can lead other data scientists to build and enable data analytics solutions. In this role, you will contribute in strengthening the relationships with key business stakeholders by translating business problems into analytics use cases and jointly prioritizing those use cases. You will develop accurate, robust, and equitable analytical models utilizing cutting-edge ML infrastructure and enterprise cloud architecture, AI/GenAI/LLM infrastructure and GPU-accelerated computing, enterprise-scale systems design and optimization, distributed systems (Ray, MPI, Apache Spark, Dask), Kubernetes operations and workload optimization (especially EKS), cloud platforms (AWS) and HPC environments, network architecture in complex corporate topologies, cloud cost optimization strategies and implementation, performance profiling and optimization techniques, strategic planning and roadmap development, stakeholder management across technical and non-technical audiences, and technical communication and translation of complex concepts.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed