Inactive
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Rakuten Advertising

Performance-driven affiliate & partner marketing platform

Data Science Intern

Data SciencePosted on May 9
Internship · Summer 2026San Francisco, CA, USA$30 - $35 /hrIn-person

About the Job

Requirements

  • Experience in using Machine Learning methods (Deep Learning is a plus).
  • Good knowledge of Python and SQL.
  • Strong mathematical skills.
  • Good conversational and written English skills for presentation, documentation, and discussion.
  • Interest in e-commerce and new technologies.
  • Degree in progress.

Responsibilities

  • Explore both existing and latest Machine Learning and Deep Learning methods to build and improve our in-house models.
  • Mine our internal advertising datasets and perform practical statistical analysis to identify new relevant indicators and business trends.
  • Collaborate company wide on product requirements to maximize customer satisfaction and with Software Engineers to deploy scalable/monitored models while maintaining a clean codebase.
  • Effectively communicate your analysis and findings through interactive visualizations, documents, and presentations.

Desired Qualifications

  • Deep Learning experience is a plus (beyond general Machine Learning).

About the Company

Rakuten Advertising

Performance-driven affiliate & partner marketing platform

Rakuten Advertising builds performance-driven marketing solutions for brands by connecting them with highly engaged audiences through a global affiliate and partner network. Its products work by using a combination of a large, owned-and-operated media footprint and a broad network of partners, powered by AI-backed technology, to deliver targeted ad experiences that reach the right people at the right time and drive actions from awareness to loyalty. The company differentiates itself with the largest partner network in affiliate marketing, an extensive data heritage, and a full-service team that blends strategy, creative, and optimization to craft campaigns that perform. The goal is to help brands achieve their objectives—boost engagement, increase sales, build loyalty, and create long-term value—by delivering measurable results and value across markets worldwide.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2013

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