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Bloomberg Economics - Data Scientist/Economist - Contractor (12 months)

Bloomberg

Bloomberg

Data Science
Washington, DC, USA
Posted on Nov 13, 2025
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.

Key Responsibilities
Projects will focus on developing alternative data series on US economic statistics, creating AI-powered applications, and refining Bloomberg’s data infrastructure to improve how information is collected, processed, and visualized. Collaboration with economists, developers, and journalists is a key part of the work, as is contributing to data strategy and ensuring best practices in reproducibility, architecture, and model deployment.

Candidates with leadership experience will have opportunities to mentor others and drive new data initiatives that expand the analytical capabilities of Bloomberg Economics.

Qualifications
  • 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!