Election Analytics Fellow: Data-Driven News & Polls

The New York Times Company

New York (NY)

Hybrid

USD 74,000 - 91,000

Full time

2 days ago
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Benefits offered by this job

Annual bonus
Stock options
Medical benefits
401(k) plan
Paid vacation
Professional development

Job summary

The New York Times Company is seeking an elections analytics fellow in New York to contribute to data-driven coverage of American elections. You will join the Election Analytics team producing The New York Times/Siena University Poll, the live election-night forecast known as The Needle and our polling tracker, and related stories.

This in-office fellowship offers some remote flexibility and requires collaboration across reporters, editors, developers and statisticians.

Qualifications

  • No more than five years of full-time, professional journalism experience.
  • Deep understanding of American elections.
  • Experience working with data.
  • Data-driven reporting and statistics.
  • Proficiency with R or Python.
  • Development with cloud computing and productionized web applications.

Responsibilities

  • Contribute original analyses of polls, voter registration trends and election results for articles or graphics.
  • Increase team understanding through data collection, scraping, statistical analysis and reporting.
  • Collaborate with colleagues across the newsroom.
  • Uphold journalistic independence and the mission to seek the truth.

Skills

Understanding American elections
Data analysis
Statistical modeling
Python/R
Data storytelling

Tools

Cloud computing
Web development

Job description

The New York Times Company is seeking an elections analytics fellow in New York to contribute to data-driven coverage of American elections. You will join the Election Analytics team producing The New York Times/Siena University Poll, the live election-night forecast known as The Needle and our polling tracker, and related stories.

This in-office fellowship offers some remote flexibility and requires collaboration across reporters, editors, developers and statisticians.

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