Fellow, Data Journalism

New York, NY

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.

Join the 2027 New York Times Fellowship class as a data journalist in New York.

The Times is looking for a fellow who is excited about using data analysis to find, report and tell stories. As a member of the Data Journalism team, you'll exercise traditional, computational and quantitative skills to pursue breaking news, explanatory reporting and enterprise journalism. You'll work closely with your direct colleagues and with journalists across the newsroom; we're looking for someone who excels in such collaborations.

This is an in-office position and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. You may be required to work some nights, weekends and holidays as needed.

• Gather and analyze data in a rigorous, reproducible manner
• Clearly communicate data findings internally and in published articles
• Be comfortable in a range of roles, from making small contributions to leading reporting projects
• Participate in training and social programs designed for the fellowship
• Collaborate with colleagues across the newsroom
• 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

• No more than five years of full-time, professional journalism experience, excluding internships
• Published work that weaves original data analysis with traditional reporting
• Proficiency in Python and/or R
• Proficiency in spreadsheet and/or database software

• Record of multiple news internships or equivalent experience
• Proficiency in command-line tooling and version control
• Subject-area expertise applicable to major news cycles (politics, specific government agencies, education, law, immigration, criminal justice, etc.)
• Training in statistics, applied mathematics, computer science, economics or similar fields

You may apply to only one fellowship position per year. For instance, if you apply as a Data Journalism fellow, you should not apply for any other positions in the fellowship. Duplicate applications will be discarded.

The Times Fellowship generates a high level of interest, so we cannot acknowledge the status of applications upon receipt or during the vetting process, which can take eight weeks or more. We cannot accept applications that are mailed or emailed to us. We will contact you for interviews as needed.

The fellowship program will begin on or about June 7, 2027, and end on May 26, 2028, subject to satisfactory performance. There is no guarantee of a full-time position upon completion of the program.

For more information about the Times Fellowship, visit here.

This position is represented by the News Guild of New York.

REQ-020777

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

The annual base pay range for this role is between:

$82,414.80 - $82,414.80 USD

We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use…