Product Data Scientist Intern

Criteo • Paris, TX

332d

About The Position

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. You will be assigned to one or several projects. The topics we tackle are wide and always evolving!

Requirements

• Master's degree student or higher in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)
• Available for maximum 6 months, for end of study or gap year internship
• Outstanding analytical skills and creative thinking
• Fluency in the core toolkit of Data Science: Python; SQL/Hive/Presto
• 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!

Responsibilities

• 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
• 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

What This Job Offers

• Career Level: Intern
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree
• Number of Employees: 101-250 employees