Summer 2027 Internship Program - Marketing Data Science Intern at Dow Jones | NY, US | Rezi

Summer 2027 Internship Program - Marketing Data Science Intern at Dow Jones

Summer 2027 Internship Program - Marketing Data Science Intern

Dow Jones · NY, US

1 weeks ago

Summer 2027 Internship Program - Marketing Data Science Intern

Dow Jones · NY, US

10 days ago
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About the Role

As a Marketing Data Science Intern, you will collaborate with experienced data scientists and marketing professionals to support data-driven strategies for optimizing marketing effectiveness. You will work on projects that involve building and enhancing predictive models, analyzing customer behavior, and supporting marketing optimization efforts across our product lines. This is an excellent opportunity to gain hands-on experience in advanced analytics, machine learning, and data-driven marketing strategies while contributing to high-impact business outcomes.

Responsibilities

  • Assist in building and refining predictive models that forecast customer behaviors such as churn, lifetime value, and purchase propensity.
  • Participate in data preparation, model training, and validation efforts.
  • Work on media spend attribution models, help structure data for analysis, and assist in scenario planning for marketing optimization.
  • Support the analysis of large datasets to derive insights about customer segments, behavior patterns, and marketing performance.
  • Contribute to personalizing marketing campaigns through data-driven insights.
  • Work closely with marketing, sales, and product teams to understand their data needs.
  • Help communicate data insights and recommendations to different stakeholders.

Requirements

  • At least two years completed towards your Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
  • Familiar with programming languages such as Python, R, or SQL, and basic knowledge of data manipulation and visualization tools like Tableau or Looker.
  • Interest in predictive modeling, machine learning, and data-driven marketing strategies.
  • Strong interest in digital marketing, with a focus on acquisition strategies.
  • Familiarity with digital marketing platforms such as Google, Meta or TikTok
  • Analytical mindset with the ability to interpret data and draw meaningful conclusions.
  • Excellent written and verbal communication skills.
  • Creativity and willingness to contribute ideas to marketing campaigns.
  • Enrollment in a 4-year undergraduate degree program
  • Graduating in Dec 2027 – July 2029 (U.S.)
  • Does not require sponsorship for employment visa status (now or in the future) in the country where applying.

Skills

  • Python
  • R
  • SQL
  • Tableau
  • Looker
  • Predictive modeling
  • Machine learning
  • Data-driven marketing strategies
  • Digital marketing
  • Acquisition strategies
  • Google
  • Meta
  • TikTok
  • Data analysis
  • Data visualization
  • Communication

Location

  • NYC - 1211 Ave of the Americas City office

Work Type

  • Hybrid
  • Full-time
  • In-office

Experience Level

  • Internship

Education Level

  • Bachelor’s degree

Salary/Compensations

  • $28.00 - $28.00

Benefits

  • Comprehensive and competitive benefits package covering health, retirement, wellbeing, and more
  • Optional benefits to meet the diverse needs of our employees

About the Company

  • 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 130 years and today has one of the world’s largest newsgathering operations globally.
  • It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires.
  • Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law.
  • EEO/Disabled/Vets