Data Scientist – AI, Analytics & Strategic Impact

Federal Reserve Bank of New York

Atlanta (GA)

On-site

USD 120,000 - 160,000

Full time

8 days ago

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Benefits offered by this job

Comprehensive healthcare options
401K match and pension plan
Paid vacation and holidays
Public transportation subsidies
Education Assistance Program
Professional development programs
And more…

Job summary

Federal Reserve Bank of Atlanta is seeking a Data Scientist to translate stakeholder needs into analytic solutions, building descriptive, diagnostic, predictive, and prescriptive models. You will work with large, varied datasets, ensuring data quality while delivering BI tools and reports to inform decision-making across the Bank.

The role requires strong quantitative skills, experience with Python/R, and collaboration with IT and client teams.

Qualifications

  • Bachelor’s degree in a quantitative field or 4 years equivalent experience.
  • Master’s degree preferred.
  • Three to five years of related experience.

Responsibilities

  • Solve complex business problems through data analysis and modeling.
  • Develop, test, and maintain analytics and reports.
  • Advise on data manipulation best practices and data sources.
  • Collaborate with stakeholders to define requirements and drive insights.
  • Create clear visualizations to help end-users apply results.

Skills

Data analysis
Statistical modeling
AI/ML techniques
Python
R programming
Data visualization
Stakeholder communication

Education

Bachelor's degree or 4 years equivalent experience
Master's degree preferred

Tools

SQL
Tableau
Power BI
Git

Job description

Federal Reserve Bank of Atlanta is seeking a Data Scientist to translate stakeholder needs into analytic solutions, building descriptive, diagnostic, predictive, and prescriptive models. You will work with large, varied datasets, ensuring data quality while delivering BI tools and reports to inform decision-making across the Bank.

The role requires strong quantitative skills, experience with Python/R, and collaboration with IT and client teams.

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