News-posted 3 months ago
$25 - $25/Yr
Intern
New York, NY
5,001-10,000 employees
Broadcasting and Content Providers

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. This role is hybrid, based in our NYC - 1211 Ave of the Americas City office.

  • Support Predictive Modeling & Advanced Analytics: 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.
  • Assist with Marketing Spend Analysis & Optimization: Work on media spend attribution models, help structure data for analysis, and assist in scenario planning for marketing optimization.
  • Data-Driven Insights: 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.
  • Collaborate Across Teams: Work closely with marketing, sales, and product teams to understand their data needs. Help communicate data insights and recommendations to different stakeholders.
  • At least two years completed towards your Bachelor's degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
  • BY NEXT SUMMER, YOU WILL BE: either a rising junior or rising senior in your undergrad program.
  • 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.
  • Comprehensive and highly competitive benefits package, including physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits.
  • Elective benefits employees may select to best fit the needs and personal situations of our diverse workforce.
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