Data Scientist

The Federal Reserve

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Atlanta, GA
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live yesterday
Closes: Nov 14, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $166k

$97k $233k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$204,800.

Based on 240 similar postings.

Employer

About The Federal Reserve

The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.

The Federal Reserve currently has 33 open roles on FindRole.

Listed pay typically runs $113,250–$158,300 across 12 roles with salary data.

Most-posted roles

View all roles at The Federal Reserve

At a glance

TL;DR · Data Scientist

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The Data Scientist joins the Atlanta Fed to solve complex business problems by leveraging AI and quantitative disciplines. This role involves translating stakeholder needs into clear solutions by building descriptive, diagnostic, predictive, and prescriptive analytics. Day-to-day responsibilities include sourcing and integrating large datasets, ensuring data quality, and developing internal reports and visualizations to provide critical business intelligence. The successful candidate will design data architecture strategies, mentor interns, and lead bank-wide communities of practice. Required skills include proficiency in R or Python, along with knowledge of statistical, econometric, and AI/ML methods. The role requires expertise in data management standards, architecture frameworks, and business intelligence tools to support sound decision-making and monitor project impact within the financial system.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

Skills

Python R AI ML Data Science Data Architecture Data Management Business Intelligence GitLab Data Analytics

What you'll do

Solve complex business problems using statistical, econometric, or AI/ML modeling techniques.
Develop, document, test, and maintain analytics and reports in line with internal policies.
Source, integrate, and prepare large datasets while ensuring high data quality.
Create clear visualizations to help end-users understand and apply analytical results.
Design and implement data architecture strategies that support overall business strategy.
Define and track business metrics to monitor project impact over time.
Mentor interns and lead bank-wide communities of practice on analytics and AI.
Promote the reuse of coding assets through modular design and platforms like GitLab.

What we're looking for

Bachelor's Degree or 4 years equivalent experience.
Master's Degree (preferred).
Strong background in a quantitative discipline such as data science or computer science.
Proficiency with at least one widely used statistical or data science programming language such as R or Python.
Three to five years of experience in data and general architecture principles (preferred).
Knowledge of statistical, econometric, or AI/ML methods for developing models and tools (preferred).
Advanced degrees in STEM fields (preferred).

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