Data Editor, Scientific American
22 Minutes ago • 5 Years + • $105,000 PA - $120,000 PA
Data Analysis
Job Description
Scientific American is seeking a Data Editor to lead the production and growth of new franchise projects, identify opportunities for smart data use, and contribute data to stories across the newsroom. The role involves developing methodologies for statistical analyses, finding and executing data-driven stories, and collaborating with various departments. The ideal candidate will have strong data analysis skills and instincts for storytelling, working on diverse deadlines from breaking news to in-depth investigations.
Good To Have:
- Experience in science, technology or health journalism
- A master’s degree in journalism, particularly with an emphasis on data journalism
- An undergraduate or graduate degree in a STEM field
- A knowledge of and enthusiasm for all kinds of science
Must Have:
- Develop methodologies and code for statistical analyses of large and complex datasets
- Identify important stories that can be told with data and execute them flawlessly
- Collaborate with reporters and editors to incorporate data into stories
- Apply data analysis skills to stories with varying deadlines
- Work closely with colleagues on all aspects of the editorial process
- At least 5 years of experience in a newsroom producing data-driven journalism
- Strong writing and reporting skills and an ability to find interesting topics
- Impeccable project management skills and a track record of producing complex stories
- Desire to innovate, experiment, and create new things
Perks:
- Medical, Dental and Vision
- 401(k) with company match and contribution
- Hybrid office working policy, Summer Hours, and paid time off
- Flexible Spending and Commuter programs
- Multiple Life insurance options
- Disability coverage
- Tuition Assistance
- Voluntary benefits: Identity Theft Protection, Pet Insurance, and Legal Assistance Insurance
- Employee Assistance Program
- Family friendly benefits and a variety of employee discounts
- An array of Employee Social Networks
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
- At least 5 years of experience in a newsroom producing data-driven journalism
- Strong writing and reporting skills and an uncanny ability to find interesting topics
- Impeccable project management skills and a track record of producing complex stories
- A desire to innovate experiment, and create new things
Desirable
- Experience in science, technology or health journalism
- A master’s degree in journalism, particularly with an emphasis on data journalism
- An undergraduate or graduate degree in a STEM field
- A knowledge of and enthusiasm for all kinds of science
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