The Wall Street Journal’s Data Team is seeking a creative data journalist with a strong background in causal inference, economics, political science or quantitative social sciences, with a particular emphasis on explaining real-world phenomena. The ideal candidate should have a deep understanding of how to leverage data to uncover causal relationships, a natural and wide-ranging curiosity about how the world works and the ability to identify clever and revealing natural experiments.
You will:
- Develop and implement statistical and causal inference models to analyze and interpret complex datasets, focusing on uncovering relationships and patterns that explain real-world events.
- Collaborate with journalists to uncover data-driven stories.
- Conduct rigorous methodology assessments to determine the validity and reliability of data, and evangelize statistical rigor across the newsroom.
- Balance theoretical knowledge with practical application, and communicate findings clearly and effectively to non-technical audiences.
You have:
- Previous experience in data journalism or working with media organizations is a plus, but not required.
- 5+ years of post-graduate experience in data science.
- An MS with research experience or PhD in data science, statistics, economics, quantitative social sciences, or a related field—or equivalent, documented experience.
- A strong theoretical foundation in areas such as statistical modeling or causal inference, coupled with a practical approach to data analysis.
- Proficiency in statistical software and programming languages (e.g., R, Python, SQL) and their use in large datasets with advanced statistical techniques, such as regression analysis, machine learning and causal modeling. Familiarity with modern data visualization tools would be helpful.
- Excellent problem-solving skills and ability to think critically and creatively with a demonstrated ability to translate complex data findings into engaging and understandable narratives.
To apply, please submit a resume and cover letter by November 26th.
Pay Range: $145,000 – $165,000
To apply, go here.
