Product Data Scientist Intern

Criteo; Paris; Sur place; EUR 20 000 - 40 000; Plein temps

Résumé du poste

A leading tech company in France is seeking motivated Data Science interns to join their Product Analytics & Data Science team. The role involves mining large data sets for actionable insights, developing analytic solutions, and mastering analytic datasets. Ideal candidates are pursuing a Master’s degree or higher and are available for 5 to 6 months. Strong skills in Python and SQL are essential. Applications must be submitted with an English resume.

Qualifications

• Master’s degree student or higher in Mathematics, Computer Science, Physics, Engineering, or Economics.
• Available for at least 5 to 6 months from September.
• Outstanding analytical skills and creative thinking.

Responsabilités

• Mine large data sets and turn them into understandable and actionable insights.
• Build scalable analytic solutions using state of the art tools.
• Design and execute a stream of analysis and tests.
• Master our internal analytic datasets and reporting tools.

Connaissances

Python

SQL

Analytical skills

Creative thinking

Data manipulation

Data visualization

Formation

Master’s degree or higher in relevant fields

Description du poste

What You'll Do :

Criteo is looking for new talented interns from January !

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 :

• 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

Who You Are :

Master’s degree student or higher (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)

Available for at least 5 to 6 months from September

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!

PS : Please apply with an English resume