Data ScientistSenior Data Scientist (AtlantaMiami)

Company

Summary
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:

• 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 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. Positions in Supervision & Regulation will develop SupTech technologies.
• Leverages Generative AI tools to perform tasks efficiently while also ensuring quality and reliability of output.
• 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. Models and frames meaningful business scenarios and the impact on critical business processes and/or decisions.
• 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.
• Identifies opportunities for reuse of coding assets through modular code design and sharing through platforms such as Gitlab.
• Working knowledge of more than one design methodology and framework and Data Architecture principles

Education:

• Data Scientist: Bachelors Degree or 4 years equivalent experience Masters Degree preferred
• Sr. Data Scientist: Masters Degree or 5 years of equivalent experience in Mathematical Economics or Computer Science

Experience:

• Data Scientist: 3 years of experience
• Sr. Data Scientist: 5 years of experience

Qualifications:

• Data and General Architecture Principles
• 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
• 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)

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 programstrainingand 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 bean accuratereflection 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 ( rush jobs change in workload or technological developments).

The Federal Reserve Bank of Atlanta is an equal opportunity employer.

Full Time / Part Time

Regular / Temporary

Job Exempt (Yes / No)

Job Category

Work Shift

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