Springer Nature is hiring : Data Editor, Scientific American in New York

Title : Data Editor, Scientific American

Location(s) : New York or Washington, DC – Hybrid Working

About Springer Nature

Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit about.springernature.com and follow @SpringerNature.

About the Brand

Scientific American, the oldest continuously published magazine in the U.S., reaches millions of people each month through its print magazine, app, social media and on ScientificAmerican.com. We publish expert-written opinions and feature stories; news and feature articles by leading journalists; and award-winning graphics, art and multimedia. Visit scientificamerican.com and follow @ScientificAmerican / @Sciam

About the Role

Scientific American is seeking a Data Editor to help us produce award-winning investigative journalism, develop and launch new lists and rankings, and contribute data to stories across our newsroom. They will lead the production and growth of new franchise projects from their conception to their publication, identify opportunities for the smart use of data, and help evaluate strategic partnerships and tools.

We're looking for someone with strong data analysis skills and incredible instincts for finding stories and developing smart methodologies. They will work closely with reporters and editors across the newsroom who have expertise in various scientific disciplines, as well as our graphics, product and design departments.

This role is based in our New York or Washington, D.C. offices on a hybrid working model.

Role Responsibilities :

• Develop methodologies and code for statistical analyses of large and complex datasets
• Identify important stories that can be told with the use of data, and execute them flawlessly
• Collaborate with reporters and editors across the newsroom, helping them to incorporate data into their stories
• Bring your data analysis skills to bear on stories with a variety of deadlines, ranging from breaking news to in-depth investigations
• Work closely with colleagues on all aspects of the editorial process

Experience, Skills & Qualifications :

Essential

Desirable

Springer Nature US provides a comprehensive and competitive benefits package which includes the benefit offerings listed below :

US Annualized Base Salary : $105,000 - $120,000. The salary offer may vary based on work experience, education, skill level, and equity. The US salary range does not align with the salary ranges in other countries when converted to the currency of that country.

Springer Nature is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following https : / / www.eeoc.gov / sites / default / files / 2023-06 / 22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf poster.

At Springer Nature, we value the diversity of our teams and work to build an inclusive culture where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture, and develop the very best talent. Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here : https : / / group.springernature.com / gp / group / taking-responsibility / diversity-equity-inclusion

If you have any access needs related to disability, neurodivergence, or a chronic condition, please contact us so we can make all necessary accommodations.

For more information about career opportunities in Springer Nature please visit https : / / springernature.wd3.myworkdayjobs.com / SpringerNatureCareers /

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