The Wall Street Journal is seeking a data science intern to work with their newsroom. The intern is a computational journalist who will work with the WSJ Lab, a multi-disciplinary team that supports the newsroom with experimentation and research. The intern will work on developing new approaches for storytelling and defining best practices for algorithmic accountability reporting.
This is a paid, full-time internship lasting 10 weeks.
Tasks and Responsibilities:
> Develop emerging story formats and explore AI-powered newsroom tools.
> Collaborate with colleagues from around the organization to identify high-impact experiments using machine learning.
> Write case studies highlighting best practices in algorithmic transparency to be shared across the newsroom.
> Help identify new data science methods worth exploring, and determine the processes and techniques by which we could use them for story development.
> Help create a program to educate newsroom stakeholders about data science and journalism.
Key Attributes, Knowledge and Experience:
> Academic background in computational journalism, computer science or data science.
> Knowledge of R and Python. Experience with machine learning and natural language processing using open source libraries including TensorFlow, Scikit Learn, SpaCy, NLTK is preferred.
> Excellent communication and writing skills.
> Diverse portfolio of experiments and journalism projects using emerging technology.
> Deep understanding of news media, digital journalism and content strategy.
*Applications are due by October 26th. Please submit a resume and cover letter. Only finalists will be contacted.
For more information or to apply: https://dowjones-internships.jobs/new-york-ny/summer-2019-data-science-newsroom-internship-at-the-wall-street-journal/B402800BC18C4AC2A262CC08A5313AC5/job/