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 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 include a brief example (no more than 200 words) demonstrating how you would use data to produce a journalistic story.
This could be a short outline of an actual investigation you've conducted or a hypothetical scenario using publicly available data.
Explain what data you'd analyze, how you'd identify a newsworthy angle and how you'd present the findings to a general audience.
Focus on storytelling and clarity, not just technical methods
**Deadline is December 20.**
Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/AA/M/F/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at [redacted]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
Business Area: Dow Jones - News - WSJ
Job Category: Data Analytics/Warehousing & Business Intelligence
Union Status:
Union role
Pay Range: $145,000 - $165,000
We recognize that attracting the best talent is key to our strategy and success as a company.As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates.The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.
Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice.
For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce..
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Req ID: 43803