Data Scientist Associate/I/II

Company

Federal Reserve Bank of Cleveland

The Federal Reserve Bank of Cleveland’s mission is to foster the stability, integrity, and efficiency of the nation’s monetary, financial, and payment systems while representing the Fourth District perspectives.

As part of the nation’s central bank, we are a team of mission-driven professionals who are committed to serving with excellence.

Our core values are: Build Trust Every Day, Own Our Actions, Collaborate with Intention, and Be Open to Change.

For twenty-six years in a row, we’ve been named “One of Northeast Ohio’s Best Places to Work” by North Coast 99.

This prestigious award honors organizations with outstanding employment practices, including compensation, benefits, training, recruitment, retention, community services, and employee communications.

Follow us on LinkedIn, Twitter, Instagram, and our YouTube channel – Cleveland Fed

BETR, Bank Exams Tailored to Risk, is the Federal Reserve’s risk-focused approach to community and regional bank supervision.

The BETR Metrics Office, located at the Federal Reserve Bank of Cleveland, develops and maintains forward-looking models to help define the scope of exams at hundreds of supervised firms across the country – combining quantitative insight with examiner judgment.

We conduct rigorous, data-driven assessments of banking sector and financial market conditions; promote more efficient, effective supervisory processes; and drive actionable research to support supervision and policy more broadly.

As part of the Federal Reserve’s mission, we care about ensuring a safe, sound, and fair financial system.

Come join us!

Responsibilities, knowledge areas, and skill areas listed below are with respect to the Data Scientist II level, which is the preferred level for this opening – but we will also consider excellent candidates with education and experience at the Associate or Data Scientist I level.

General Responsibilities:


* Proven capability in designing, developing, and conveying the results of innovative models (including econometric, predictive, behavioral, simulation, or other) to ensure identification of firm-specific, sector, and broader banking industry trends and risk developments in an informative, forward-looking, and critically focused manner.

Experience in data mining, artificial intelligence, agentic frameworks, machine learning, and/or other emerging fields is a plus.


* Proven capability to contribute to large-scale analytic projects through all stages of development, including formulating concepts; developing and executing analysis plans; implementing and deploying models and tools; and reporting and presenting final research results.


* Proven ability in scalable data processing (e.g., distributed computing, cloud platforms, data warehousing) and MLOps/deployment processes (e.g., model serving, containerization, model monitoring).


* Beginning to show capability to lead transformation of larg...