Data Scientist

Company

Federal Reserve Bank of New York

When you work at the New York Fed, you have the opportunity to make an impact in our communities and across the nation.

Our mission-driven, curious, and dedicated colleagues apply their diverse perspectives and unique talents to support the strength of the U.S.

economy and stability of the global financial system.

At the Bank, we work full-time onsite with our teams.

We believe being physically together allows us to draw on our collective strengths, while recognizing that the ability to work flexibly from time to time remains important to achieving our mission.

Our Unique Work:    

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. 

How You’ll Make an Impact as a Data Scientist:  

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  



* Technical communication and translation of complex concepts  

The Unique Skill Sets We’re Looking For:  


* Enterprise Architecture; Systems Design 



* Kubernetes; Cloud Computing (AWS/Azure/GCP) 



* Distributed Systems; Ray; Apache Spark; Dask; MPI  



* GPU Computing; AI/ML Infrastructure; LLM Operations; Performance Optimization  



* Cost Optimization; Network Architecture; Leadership  



* Strategic Planning; Stakeholder Management 

Other Things to Know:   

Salary Range: $170000 - $230000 / y...