Graphics/Multimedia Editor - Data and Tooling, Election Analytics

The New York Times
New York, NY; Washington, DCPosted 24 April 2026

Job Description

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Election Analytics team produces flagship, standard-setting elections coverage, including the live, election night statistical model known as the Needle and The New York Times/Siena Poll. Both of those efforts rely on one of the most comprehensive election data operations in media, with the voter file at the core. We’re just scratching the surface of all the journalistic products we could produce with the voter file and the rest of the data we collect — absentee files, precinct-level results, live turnout figures, poll results and more. But our tooling has not always kept pace with our ambitions. You will be responsible for owning this mass of data end-to-end, for ensuring that we have reliable, automated pipelines for putting the data into consistent formats and for validating that the data is being transformed correctly. You will also be responsible for the tooling to work with the data, ensuring that more data journalists can leverage it without the existing steep learning curve. (We are an R shop, though prior R experience is not a necessity.) If you like solving problems for which there is little, if any, documented precedent, this would be a fun job for you. Your work will ensure that we can even more regularly tell compelling stories about voting patterns and elections, whether they take the form of articles or evolve into new products that deliver as much insight as our polls and the Needle. You will be a key part of producing these stories and products, working with other journalists to understand the data that is available and transforming the data into new formats as needed. You will also contribute to other areas of our elections coverage based on your skills and interest, including opportunities to pursue original reporting on your own and to collaborate on stories, graphics and tools for readers based on government, polling and other types of data. This is an in-office position based in New York City or Washington, D.C., and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. To apply, you MUST include a cover letter of no more than 300 word that... - described the solution you developed to a unique technical problem, preferably one around data; and - directly addresses your interest in and experience with the type of data you expect to be working with in this role Responsibilities: Develop libraries in R that form the basis of our apps Work with colleagues to onboard them to existing tools and develop new tooling as needed Maintain the pipelines that process and score the voter file, a list of registered voters that forms the basis of much of our work Develop tooling to support, deploy and monitor R apps in Google Cloud and Amazon Web Services Balance engineering principles with the need to move at the speed of news Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world This role reports to the Director of Election Analytics Basic qualifications: 5+ years of relevant work experience Familiarity working with large data sets and with best practices in data management Experience working with data-oriented programming languages, such as R or Python, specifically creating packages or libraries, debugging third-party software and otherwise using scripting languages ... (truncated, view full listing at source)
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