Senior AI Data Scientist: RAG & Enterprise AI Lead

Federal Reserve Board of Governors; Washington; On-site; USD 120,000 - 190,000; Full time

Job summary

Federal Reserve Board of Governors seeks an AI/Data Scientist lead to drive statistical and mathematical initiatives using ML, NLP, and modeling techniques. You will design, deploy, and refine data pipelines and predictive models across large datasets to inform policy and organizational decisions.

The role requires a strong foundation in data science, statistics, and software tools, plus the ability to work cross-functionally and manage multiple complex projects in a regulated environment.

Qualifications

• Requires bachelor’s degree or equivalent experience with six years of experience; strong background in advanced theoretical and quantitative techniques in data science, statistics, math, CS, or related field.
• Experience with analytical/statistical software (R, MATLAB, SAS) and programming languages (Python, Java, SQL); extensive experience with large datasets.

Responsibilities

• Lead development of analytic projects and predictive modeling using data mining techniques.
• Lead design and optimization of algorithms for matching and pattern recognition.
• Oversee large-scale analytical research projects from concept to final report.
• Design and leverage large, complex datasets for strategic analysis.
• Transform and integrate data from internal/external sources for analysis.
• Lead data quality testing and improvements for statistical inferences.
• Visualize and report data findings to drive insights and decisions.
• Collaborate cross-functionally to solve complex problems and manage multiple projects.

Skills

Data science

Statistics

Machine learning

Data mining

Big data

Problem solving

Communication

Python

SQL

R

MATLAB

SAS

Java

Education

Bachelor's degree or equivalent experience

Tools

R

MATLAB

SAS

Python

Java

SQL

Job description

Federal Reserve Board of Governors seeks an AI/Data Scientist lead to drive statistical and mathematical initiatives using ML, NLP, and modeling techniques. You will design, deploy, and refine data pipelines and predictive models across large datasets to inform policy and organizational decisions.

The role requires a strong foundation in data science, statistics, and software tools, plus the ability to work cross-functionally and manage multiple complex projects in a regulated environment.