Dow Jones Summer 2019 Customer Value - Data Science Internship in NEW YORK, New York

Job Description:

Customer Value

The mission of the Customer Value team is to identify and chase new opportunities founded in our customer data to deliver value across our Consumer, Advertising and Professional Information Business. We analyze our customer lifecycles, partner with business and technology stakeholders, and identify innovative data questions that nobody else is answering. These questions transcend business unit boundaries and transform the ways we deliver value. We launch new ways of collecting data and ensure that we optimize it to supercharge revenue across our business.

Candidates for this role will have demonstrated past experience in reporting & business intelligence. Past data modeling projects should include topics such as machine learning methodologies, conversion analytics and retention & churn, where critical thinking is required to answer business questions through the reduction of 1st / 2nd / 3rd party datasets.


  • Develop scalable solutions based on state-of-the-art machine learning methodologies

  • Define key metrics to track revenue performance and inform product decisions

  • Support team analyze datasets which require critical thinking in the areas of consumer content consumption, campaign conversion, ROI and trends

  • Support QA processes to ensure reporting and analytics accurately reflect aggregation of data for business questions

  • Identify opportunities to enhance an understanding of the Dow Jones customer base, segmenting content consumption and revenue

Application Requirements

  • Undergraduate or Graduate Students with a Major in Computer Science, Mathematics, Statistics, Physics, Engineering or related STEM major

  • Programming experience with either Python or R, plus one other general purpose programming language such as Java or C/C++ SQL & relational database experience a must, experience with noSQL, Big Data stack preferred

  • Strong foundation in inferential statistics and machine learning techniques

  • Experience in visualization tools such as Tableau, PowerBI, etc.

  • Capacity to communicate complex concepts in easy-to-understand terminology

  • Ability to translate data and insight into a value-driving business plan

  • Experience with consumer B2C marketing and (digital) publishing preferred

Nice to Have

  • Experience with text mining and natural language processing

  • Experience building knowledge graphs based on text

  • Experience writing scripts to interact with APIs for data retrieval

We're looking for candidates who are working towards a bachelor's degree with at least one year of school completed.

Application Deadline: November 30th, 2018

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 . Please put “Reasonable Accommodation" in the subject line.


Job Category: Contingent Workers

About Us

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 125 years and today has one of the world’s largest news gathering operations globally. It produces leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Factiva, Barron’s, MarketWatch, Financial News, DJX, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones VentureSource.Dow Jones is 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