About The Position

Bloomberg Economics is seeking a Data Scientist/Economist to join the Washington, D.C. office on a full-time contract basis (40 hours per week). This role is part of a global network of more than 70 economists and analysts, and 200 economics and government reporters - a team uniquely positioned to explain where the world economy stands, where it's heading, and how policy and geopolitics shape its course. This position offers the chance to apply cutting-edge data science and machine learning to some of the most critical questions in US economic statistics measurement.

Requirements

  • Minimum of five years of professional experience in data science, ideally in macroeconomic measurement
  • Experience working with US economic statistics in a measurement capacity, ideally from a US federal statistical agency
  • Strong programming expertise in Python and SQL, with experience using PyTorch for machine learning or deep learning applications
  • Familiarity with LangChain or comparable frameworks for large language model applications
  • Proven ability to transform complex data into accessible insights that inform analysis and decision-making
  • Experience building and maintaining data products or leading data-driven projects in a production setting
  • Advanced degree such as a PhD or Master's in data science, computer science, economics, statistics, or a related field preferred
  • A mindset that blends technical rigor with curiosity, creativity, and a passion for understanding global economic dynamics!

Responsibilities

  • Developing alternative data series on US economic statistics
  • Creating AI-powered applications
  • Refining Bloomberg's data infrastructure to improve how information is collected, processed, and visualized
  • Collaboration with economists, developers, and journalists
  • Contributing to data strategy
  • Ensuring best practices in reproducibility, architecture, and model deployment
  • Mentoring others and drive new data initiatives that expand the analytical capabilities of Bloomberg Economics

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Web Search Portals, Libraries, Archives, and Other Information Services

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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