Data Scientist


: $115,435.00 - $200,310.00 /year *

Employment Type

: Full-Time


: Information Technology

Dow Jones & Co.

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 are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view "Find Jobs - Dow Jones." Thank you.

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, email us at Please put ?Reasonable Accommodation in the subject line.

NYC - 1211 Ave of the Americas

Full time

We are looking for a data scientist to join the Data Science & Analytics team for The Wall Street Journal's Membership group. In this role, you will lead our efforts in machine learning and product analytics, working on the development and refinement of critical models for our business?including the propensity model behind WSJ's dynamic paywall. Additionally, you will serve as an evangelist for analytics within our organization and develop metrics for measuring engagement within our products.

The role will require a strong understanding of data wrangling, log-level usage data, and production models. You will need strong organization skills, and will oversee the execution of large scale data projects. An interest in best-in-class design and engineering, as well as visualization and storytelling, will also be critical to your success in this role.

  • You have at minimum bachelor's degree in information systems, computer science, mathematics, data analytics, data science, or a related quantitative discipline. Applicants with strong technical experience and a professional background in media are also encouraged to apply.
  • At least 2-5 years of experience working in a data-related role is preferred.
  • You have strong coding skills in R and/or Python and understand version control software (git/GitHub).
  • You have a mastery of analytics tools (SQL, Tableau, Adobe/Google Analytics).
  • You are well versed in the fundamentals of statistics and have a working understanding of machine learning algorithms and their applications.
  • You have an entrepreneurial attitude toward work and sweat the details.
  • You have an interest in continued learning and stay well versed in new technologies that can be applied to your work.

Business Area:


Associated topics: data analyst, data engineer, data integrity, data warehouse, etl, erp, mongo database, sql, sybase, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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