Data Scientist

Atlanta, GA, United States

Company Federal Reserve Bank of Atlanta 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.

We are a dynamic hybrid workplace environment that requires at least 2 days a week in the office. Job Description: Creates descriptive and diagnostic analytics that explore data and relationships between involved entities and events, culminating in predictive or prescriptive analytics. Models complex problems by discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Facilitates obtaining data from a variety of different sources, in the right formats, assuring that it adheres to data quality standards, as well as resolving any information flow and content issues. Proficient at architecting, integrating, and preparing large, varied datasets. Consults and advises on best practices for data manipulation. Creates visualizations to facilitate information sharing. Also, turns data into critical information that can be used to make sound business decisions. Serves as an internal consultant to staff, Department officers, and Reserve Bank management. Has an understanding of economics, banking, payments, mathematics and/or computer science. Conducts complex data analysis and modeling using statistical, econometric, or AI/ML techniques to meet business needs.

Develops analytics and MIS with transparent documentation supporting the development and uses of the tools in line with internal policies and procedures. In addition, appropriately tests, maintains and monitors the tool or develop a plan for these responsibilities to be covered. May also review other internally developed tools for quality assurance purposes.

Understands key business drivers and advises on best ways to manipulate data to provide insights and outcomes, leveraging new data collection processes and channels.

Works with stakeholders and analysts to identify business requirements and expected outcomes. Works iteratively with customers, validating findings along the way and seeking and responding to feedback.

Develops experimental design approaches to validate or test hypotheses.

Creates visualizations to help end-users understand and use results of analysis/models/tools.

Works to design, develop, and implement data architecture strategies and solution recommendations in support of business strategies.

Provides business metrics for projects to show improvements, and monitors improvements both initially and over multiple iterations.

Collaborates with data stewards to ensure that information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements

Serves as a resource in quantitative analytics for Bank, department management, and senior staff. Maintains proficiency in advanced statistical/analytical methods and methodologies; and monitors white papers, industry developments and other key knowledge sources.

Working knowledge of more than one design methodology and framework and Data Architecture principles

Education: Bachelor's Degree or 4 years equivalent experience, Master’s Degree preferred Experience: Three to five years Qualifications: Knowledge Areas: 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 Technical Skills: Architecture Frameworks and Methodologies Data Management Standards and Frameworks Data Analytical & Business Intelligence Tools Must have experience with analytical and statistical software packages programmed in MATLAB, Stata, Python, or R. Preferred candidates will also have and extensive experience working with large datasets, as well as building nad querying databases such as SQL. Our total rewards program offers benefits that are the best fit for you at every stage of your career: Comprehensive healthcare options (Medical, Dental, and Vision) 401K match, and a fully funded pension plan Paid vacation and holidays; flexible work environment Generously subsidized public transportation Annual tuition reimbursement Professional development programs, training and conferences And more… This is not necessarily an exhaustive list of all responsibilities, duties, performance standards or requirements, efforts, skills or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed when circumstances change ( e.g. emergencies, rush jobs, change in workload or technological developments).

The Federal Reserve Bank of Atlanta is an equal opportunity employer. Full Time / Part Time Full time Regular / Temporary Regular Job Exempt (Yes / No) Yes Job Category Work Shift First (United States of America) The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Privacy Notice

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