Data Scientist

As an employee of the Atlanta Fed, you will help support our mission of promoting the stability and efficiency of the U.S. economy and financial system. Your work will affect the economy of the Southeast, the United States, and the world. The work we do here is important, and how we do it is just as important as what we do.

We live our values of integrity, excellence, and respect every day. We do the right thing, we do things right, and we treat people right. A career at the Federal Reserve Bank of Atlanta gives you the chance to do work that touches lives and helps communities prosper. The Bank believes in flexibility to balance the demands of work and life while also recognizing the necessity of connecting and collaborating with our colleagues in person.

Onsite work is an essential function of this position, and you are required to be onsite according to the schedule set by your management.

An exceptional problem solver who leverages AI and a variety of tools to tackle complex challenges with autonomy, initiative, and strong communication skills. This role translates stakeholder needs into clear solutions—building descriptive, diagnostic, predictive, and prescriptive analytics through statistical, algorithmic, mining, and visualization techniques to uncover insights and opportunities. The Data Scientist sources, integrates, and prepares large, varied datasets, ensuring data quality while advising on best practices for data manipulation.

This individual develops internal reports and visualizations that turn raw data into critical business intelligence, working closely with clients and IT teams to support sound decision-making. They also serve as an internal consultant to staff, department officers, and Reserve Bank management, bringing a strong background in a quantitative discipline such as data science or computer science.

• Solve complex business problems through data analysis and modeling using statistical, econometric, or AI/ML techniques.
• Develop, document, test, and maintain analytics and reports in line with internal policies and procedures.
• Advise on best practices for data manipulation; identify relevant internal/external data sources and frame business scenarios to assess impact on key decisions.
• Partner with stakeholders to define requirements, working iteratively and incorporating feedback.
• Create clear visualizations that help end-users understand and apply analytical results.
• Mentor interns and lead bank-wide communities of practice on analytics and AI.
• Design and implement data architecture strategies that support business strategy.
• Define and track business metrics to demonstrate and monitor project impact over time.
• Partner with data stewards to ensure data quality and effective solutions.
• Serve as a go-to quantitative resource for the Bank, staying current on advanced methods and industry developments.
• Promote reuse of coding assets through modular design and platforms such as Git Lab.

Bachelor's Degree or 4 years equivalent experience, Master’s Degree preferred

Three to five years

• Data and General Architecture Principles
• Maturity Models and Business Processes Emerging Technologies, Strategic and Analytical skills
• Quantitative skills, advanced degrees in STEM fields and knowledge of statistical/econometric/AI/ML methods for developing models and tools

• Architecture Frameworks and Methodologies
• Data Management Standards and Frameworks
• Data Analytical & Business Intelligence Tools
• Proficient with at least one widely used statistical or data science programming language such as R or Python