Machine Learning Research Assistant

The Federal Reserve

Quick summary

Work type
On-site
Location
Philadelphia, PA
Posted
5 days ago

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Salary context

How this pay compares to similar roles

Similar $220k
$161k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $189,344–$249,750.

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 $139,250–$185,200 across 24 roles with salary data.

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At a glance

TL;DR · Machine Learning Research Assistant

As a Research Assistant in the Economic Research Department at the Federal Reserve Bank of Philadelphia, you will collaborate closely with machine learning economists to perform statistical and econometric analyses using advanced techniques. Your daily tasks include organizing data for analysis, writing programs in Python, R, SAS, Stata, and Matlab, and presenting research findings through reports and visualizations. You will also design databases for economic research projects and document methodologies and results thoroughly. This role requires a strong background in computer science, economics, mathematics, statistics, or finance, with experience in natural language processing and handling large datasets. The department fosters a collegial environment where RAs can enhance their skills through training opportunities and collaborative work on global research initiatives.

What you'll do

  • Performs statistical and econometric analyses using advanced machine learning techniques.
  • Organizes data for analysis, writing programs in Python, R, SAS, Stata, and Matlab.
  • Designs databases and documents procedures for economic research projects.
  • Initiates independent research projects under the supervision of economists.
  • Presents research findings to economists and management through oral or written reports.

What we're looking for

  • Bachelor's degree in computer science, economics, mathematics, statistics, or finance.
  • Minimum two years’ experience with natural language processing and large datasets.
  • Proficiency in Python, R, SAS, Stata, Matlab for data analysis and programming.
  • Strong analytical skills and ability to apply quantitative techniques in research.
  • Excellent oral and written communication skills for presenting findings.
  • Knowledge of state-of-the-art machine learning methods and statistical programs.

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