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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Product Data Scientist Intern

Criteo
Found 1 month ago
Location
Paris, France
Duration (Months)
5.5 Months
Time
Full-time
Work Mode
Hybrid
Salary
Attractive salary
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Manipulating large-scale data sets
  • Building data pipelines
  • Descriptive and predictive modeling
  • Implementing visualizations, dashboards, and reports

Soft Skills

  • Outstanding analytical skills
  • creative thinking
  • Excellent interpersonal and communication skills
  • pro-active and independent to work with!

Job Description

Criteo is looking for new talented interns from April 2026! The Product Analytics & Data Science team uses cutting-edge technology, advanced statistics and machine learning to tackle some of the most complex Product challenges at Criteo. We help Criteo validate and evolve our products while exploring strategic game-changers to vault Criteo ahead in a fast-evolving media landscape. The team brings data and business expertise to feature teams, a unique understanding of complex Criteo machinery and supports Product Managers to design and build products with difference. Wondering how is the life in the Product Analytics & Data Science​ team? Take a peek at : https://careers.criteo.com/en/criteo-life-blog/from-the-inside/live-my-life-with-the-product-analytics-data-science-team/ You will be assigned to one or several projects. The topics we tackle are wide and always evolving! * Support the Measurement and R&D teams to build a comprehensive, practical, and universal measurement framework that frames the way CMOs understand their online marketing efficiency along the entire buyer journey * Improve Identity & Privacy solutions by optimizing our capability to recognize users across all their devices and their interactions in the open-internet * Work with the Quality Ad Experience team to pivot our user-level personalization engine and delivery rules to contextual and/or audience-based strategy * Explore and support the development of our New Marketing Outcomes: Video & CTV, Contextual, and Omnichannel. * Build the Buyer Index, a decision support service to improve the performance of digital ad campaigns in meeting clients’ goals across all addressability scenarios: addressable, cohort-based, or contextual. * Work with the Trading Strategies team, to offer a suite of controls to our advertisers and enhance the performance of our business models: budget, audience, targeting. Overall, your responsibilities include: * Mine large data sets and turn them into understandable and actionable insights * Build scalable analytic solutions using state of the art tools based on large and granular datasets * Design and execute a stream of analysis and tests to measure the impact of your solutions * Master our internal analytic datasets and reporting tools

Requirements

  • Master’s degree student or higher (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)
  • Available for at least 5 to 6 months
  • End of study or gap year internship
  • Outstanding analytical skills and creative thinking
  • Fluency in the core toolkit of Data Science: Python; SQL
  • Manipulating large-scale data sets
  • Building data pipelines
  • Descriptive and predictive modeling
  • Implementing visualizations, dashboards, and reports
  • Excellent interpersonal and communication skills, pro-active and independent to work with!

Related Field

  • Data & Analytics

Related Subfield

  • Data Science

Languages

  • English
▶Apply Now

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