Senior AI & Data Scientist — RAG & Agentic AI Lead

Federal Reserve Board

Washington (District of Columbia)

On-site

USD 141,000 - 211,000

Full time

14 days+
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Benefits offered by this job

Relocation provided

Job summary

Federal Reserve Board seeks a Senior Data Scientist to lead statistical and mathematical initiatives, applying ML, NLP, and modeling to inform policy and research. You will refine and deploy algorithms, transform data into actionable insights, and guide data-driven decisions.

This role requires 6+ years of experience, a Bachelor's degree or equivalent, and proficiency in R, MATLAB, SAS, Python, Java, and SQL; relocation may be provided for DC-based work.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 6 years of experience in data science, statistics, or related field.
  • Proficiency with analytical software: R, MATLAB, SAS.
  • Programming experience: Python, Java, or SQL.

Responsibilities

  • Lead analytic projects and predictive modeling using data mining techniques.
  • Design and optimize algorithms for matching and pattern recognition.
  • Lead large-scale analytical research projects through all stages.
  • Build and leverage large datasets for analysis and insights.
  • Transform large datasets for analysis and reporting.
  • Lead data studies and discovery initiatives for new data sources.
  • Develop data quality tests and improve statistical inferences.
  • Visualize and report findings for stakeholders.

Skills

Statistical analysis
Machine learning
Data science
Python
SQL
R
MATLAB
SAS

Education

Bachelor's degree or equivalent experience

Tools

Python
Java
SQL
R
MATLAB
SAS

Job description

Federal Reserve Board seeks a Senior Data Scientist to lead statistical and mathematical initiatives, applying ML, NLP, and modeling to inform policy and research. You will refine and deploy algorithms, transform data into actionable insights, and guide data-driven decisions.

This role requires 6+ years of experience, a Bachelor's degree or equivalent, and proficiency in R, MATLAB, SAS, Python, Java, and SQL; relocation may be provided for DC-based work.

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