Senior Data Journalist

$145,000 - $165,000/Yr

The Wall Street Journal - New York, NY

Full-time

New York, NY

About the position

The Wall Street Journal's Data Team is looking for a creative data journalist who specializes in causal inference and has a strong background in economics, political science, or quantitative social sciences. The role focuses on leveraging data to uncover causal relationships and explain real-world phenomena, collaborating with journalists to develop data-driven stories, and ensuring statistical rigor in the newsroom.

Responsibilities

• Develop and implement statistical and causal inference models to analyze and interpret complex datasets.
• Collaborate with journalists to uncover data-driven stories.
• Conduct rigorous methodology assessments to determine the validity and reliability of data.
• Evangelize statistical rigor across the newsroom.
• Balance theoretical knowledge with practical application and communicate findings clearly to non-technical audiences.

Requirements

• 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.
• Strong theoretical foundation in statistical modeling or causal inference.
• Proficiency in statistical software and programming languages (e.g., R, Python, SQL).
• Experience with advanced statistical techniques such as regression analysis, machine learning, and causal modeling.
• Excellent problem-solving skills and ability to think critically and creatively.

Nice-to-haves

• Previous experience in data journalism or working with media organizations is a plus.
• Familiarity with modern data visualization tools.

Benefits

• Comprehensive and highly competitive benefits package including physical health, retirement and savings, caregiving, emotional wellbeing, and transportation benefits.