Hybrid Marketing Data Science Intern (NYC)

Dow Jones & Company, Inc.

New York (NY)

Hybrid

USD 32,000 - 45,000

Part time

2 days ago
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Benefits offered by this job

Mentor program
Professional development sessions
Global intern community

Job summary

Dow Jones is seeking a Marketing Data Science Intern for Summer 2027 in New York City. The 10‑week program runs June 7, 2027 to August 13, 2027, with in-office, full‑time expectations.

You’ll build predictive models, analyze customer behavior, and support marketing optimization across product lines. Delineated by a mentor and senior leaders, you’ll gain hands-on experience in advanced analytics, machine learning, and data‑driven marketing strategies while joining a diverse global intern

Qualifications

  • 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.

Responsibilities

  • Support data science projects focusing on predictive modeling and marketing analytics.
  • Assist with data preparation, model training, and validation efforts for marketing effectiveness.
  • Analyze customer behavior and marketing performance to derive actionable insights.
  • Collaborate with marketing, sales, and product teams to communicate data-driven recommendations.

Education

Bachelor's degree progress

Tools

Python
R
SQL
Tableau
Looker

Job description

Dow Jones is seeking a Marketing Data Science Intern for Summer 2027 in New York City. The 10‑week program runs June 7, 2027 to August 13, 2027, with in-office, full‑time expectations.

You’ll build predictive models, analyze customer behavior, and support marketing optimization across product lines. Delineated by a mentor and senior leaders, you’ll gain hands-on experience in advanced analytics, machine learning, and data‑driven marketing strategies while joining a diverse global intern

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