Dow Jones Data Science Lead, Editorial Lab in NEW YORK, New York

Job Description:

Job Description:

The Wall Street Journal is seeking a Data Science Lead for its Editorial Lab. The Data Science Lead will work collaboratively across the organization to help deploy and research emerging technologies, establish experimentation best-practices, and disseminate the methods to the rest of the WSJ newsroom and beyond.

Tasks and responsibilities

  • Responsible for the technical and creative direction of the Editorial Lab

  • Help identify emerging fields of exploration such as artificial intelligence, machine learning analysis, algorithmic transparency, content analysis and immersive media

  • Work with Head of Editorial Lab to identify technical solutions for projects, manage technology implementation and coordinate relationships with external vendors

  • Partner with stakeholders from around the organization to implement and disseminate data science best practices, while establishing standards for computational journalism that emphasize methodological transparency

  • Write and publish findings on the use of new technologies in the context of journalism. With the Editorial Lab team, produce a monthly internal newsletter discussing the work and findings of the Lab

  • Collaborate with the Head of Editorial Lab to identify, build and manage technical partnerships with academic institutions and technology companies to launch new efforts

  • Work closely with DJ Innovation and the Product, Design and Engineering team to facilitate workshops, develop research and then design and conduct market tests together with the Analytics & Audience team

Leadership

  • Inspire the Editorial Lab team and our other journalists to produce their best work on all platforms.

  • Contribute by attitude, example and encouragement to a culture of creativity, enthusiasm, motivation, ownership and professionalism.

  • Contribute to the shaping and management of staff-development programs.

  • Identify high-potential members of the team and ensure they are effectively developed.

Key Attributes/Knowledge/Experience

  • Extensive technical experience playing a bridging role between journalists, designers, data scientists, and engineers

  • 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

  • Experience in data visualization and design with JavaScript and preferably D3, React, Node.js or similar packages

  • Diverse portfolio of experiments and digital projects at the intersection of media, education and technology

  • Experience with project management and vendor relationship management

  • Excellent communication, writing and workshop-facilitation skills. Knowledge of design thinking methodology is a plus

  • Experience working in R&D setting, newsroom, media agency or academic lab

*LI-JA1-WSJ

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

About Us

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).

If you require assistance in completing the online application, please contact the Talent Management team for Application Help at TalentResourceTeam@dowjones.com