The Wall Street Journal is the most trusted news organization in America and the best source of news and analysis for ambitious people. Our reporters, editors, developers, and audio and visual journalists around the world create important and impactful stories, firmly rooted in fact and adhering to the highest ethical standards. We report without fear or bias, and we maintain a proper sense of perspective, detachment and objectivity in our reporting. We're using the latest technology to develop new ways of publishing our journalism on a variety of platforms, experimenting with augmented reality and cutting-edge video and mobile storytelling formats. We’re looking for great journalists and innovative minds to join our newsroom as we continue to tell the important stories and further reinvent our journalism for digital priorities.
The Wall Street Journal seeks a data scientist who will be responsible for developing models, new metrics and a sophisticated understanding of the publication’s audience to help the newsroom provide more value to its audiences, current and future. The Journal is expanding its use of data as the newsroom increases its focus on its audience and what’s known about them, and this data scientist will be an important leader in shaping the newsroom’s key metrics, its predictive models and in segmenting its current and future audience into groups.
This is a high-impact role responsible for working closely with the newsroom’s head of data solutions, head of strategy, head of research and development, and other newsroom leaders on responsible, effective metrics that can be developed to inform decision making. The data scientist will work closely with a data engineer to make the most of largely untapped audience data sets. A working knowledge of audience behavior around common journalism types, like breaking news and enterprise journalism, would be helpful as would experience in newsroom tools such as data dashboards. Knowledge of product testing, including A/B testing, as well as a strong background in what has worked well for content reach in newsrooms would also be helpful. And understanding of basic newsroom workflow and content types would help.
A passion for helping journalists connect better with their audiences is essential.
Experience applying computational methods to journalism
Experience creating newsroom tools
Experience with recommendation engines and product testing
Knowledge of R and Python (Pandas and Scikit-Learn)
Experience with machine learning and natural language processing using open source libraries including TensorFlow, Scikit Learn, SpaCy and NLTK is preferred.
Familiarity with natural language generation and template writing
Dow Jones , Making Careers Newsworthy
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. 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, please reach out to us at TalentResourceTeam@dowjones.com . Please put “Reasonable Accommodation" in the subject line.
Business Area: NEWS/WSJ
Job Category: Data/Content Group
The Wall Street Journal is a global news organization that provides leading news, information, commentary and analysis. The Wall Street Journal engages readers across print, digital, mobile, social, and video. Building on its heritage as the preeminent source of global business and financial news, the Journal includes coverage of U.S. and world news, politics, arts, culture, lifestyle, sports, and health. It holds 36 Pulitzer Prizes for outstanding journalism. The Wall Street Journal is published by Dow Jones, a division of News Corp (NASDAQ: NWS, NWSA; ASX: NWS, NWSLV).
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Req ID: 14702