Data Scientist / Senior Data Scientist (Atlanta / Miami)

Company
Federal Reserve Bank of Atlanta
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. Develops or assists in the development of internal MIS tools and other technologies to support risk identification and enhancing processes.
Creates visualizations to facilitate information sharing. Also, works closely with clients and IT teams to turn data into critical information that can be used to make sound business decisions. Contributes to building perspectives
on industry modeling approaches for a variety of business problems. Serves as an internal consultant to staff, Department officers, and Reserve Bank management. Has an understanding of economics, finance, mathematics and/or computer science.
Key Responsibilities:

• Independently identifies opportunities to enhance Bank processes through the use of financial and/or nonfinancial data and analytics.
• Serves as a subject matter expert in quantitative, and technology initiatives within the Federal Reserve System.
• Conducts complex data analysis and modeling using statistical, econometric, or AI/ML techniques to meet business needs.
• Develops analytics such as SupTech (S&R only), 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, including validity of information produced and identification of related information which may be meaningful.
• Understands key business drivers and advises on best ways to manipulate data to provide insights and outcomes. Identifies available and relevant data, including internal and external data sources, 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.
• Works with data stewards to ensure that information used follows regulatory and security policies in place.

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.

• Provides business metrics for projects to show improvements, and monitors improvements both initially and over multiple iterations.
• 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.
• Identifies opportunities for reuse of coding assets through modular code design and sharing through platforms such as Gitlab.

Education:
Bachelor's Degree or 4 years equivalent experience, Master’s Degree preferred
Experience:
Three to five years
Functional Knowledge Preferences
KnowledgeAreas:

• 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 method

Technical Skills:

• 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)

Full Time / Part Time
Full time
Regular / Temporary
Regular
Job Exempt (Yes / No)
Yes
Job Category
Data Analytics Family Group
Work Shift
First (United States of America)
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