Machine Learning Research Assistant

The Federal Reserve

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Work type
On-site
Location
Philadelphia, PA
Posted
80 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Similar $228k
$172k most similar roles pay here $289k

This listing doesn't post a salary. Most similar roles pay $200,887–$254,750.

Based on 240 similar postings.

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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 23 open roles on FindRole.

Listed pay typically runs $133,350–$174,450 across 16 roles with salary data.

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At a glance

TL;DR · Machine Learning Research Assistant

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Machine Learning Research Assistant The Machine Learning Research Assistant joins the Economic Research Department to support research and consulting projects initiated by machine learning economists. In this role, you will perform statistical and econometric analyses using state-of-the-art machine learning techniques to prove project findings. Day-to-day responsibilities include identifying, collecting, and preparing data for machine learning projects, designing databases, writing documentation for algorithms and statistical tests, and automating data collection procedures. You will also produce charts and graphs to communicate results to various business lines. The role requires proficiency in Python, R, SAS, Stata, and Matlab, along with knowledge of natural language processing and large dataset management. This position addresses the technical challenges of economic research by applying advanced quantitative methods and programming skills to analyze complex data sources for monetary policy and economic forecasting.

Skills

Machine Learning Python R SAS Stata Matlab Natural Language Processing Statistics Mathematics Computer Science

What you'll do

  • Perform statistical and econometric analyses using state-of-the-art machine learning techniques.
  • Identify, collect, and prepare data required for machine learning projects.
  • Write computer programs in Python, R, SAS, Stata, or Matlab to organize data and automate collection procedures.
  • Design databases and write documentation for data sources, algorithms, and statistical tests.
  • Initiate, plan, and execute independent research projects under the supervision of economists.
  • Produce charts, graphs, and written reports to communicate findings to management and business lines.
  • Review relevant literature and summarize key information for economic research projects.
  • Train junior analysts on data procedures and documentation when required.

What we're looking for

  • Preferred bachelor's degree in computer science, economics, mathematics, statistics, or finance.
  • Minimum of two years of experience or knowledge regarding natural language processing and processing large datasets.
  • Proficiency in programming languages including Python, R, SAS, Stata, and Matlab.
  • Knowledge of state-of-the-art machine learning methods and techniques.
  • Ability to perform advanced statistical and econometric analyses.
  • Strong analytical and problem-solving skills.
  • Good oral and written communication skills for reporting research findings.
  • Must be a U.S. citizen, U.S. national, or U.S. permanent resident to access confidential information.

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