Product analytics - data scientist

What You'll Do:

The Data Science & Product Analytics 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.

We serve as trusted partners to leadership and work closely with Product Managers, R&D, Finance & Business teams.

Inside Data Science & Product Analytics:

The topics we tackle are wide and always evolving!

1. 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

2. Improve Identity & Privacy solutions by optimizing our capability to recognize users across all their devices and their interactions in the open-internet

3. Work with the Quality Ad Experience team to pivot our user-level personalization engine and delivery rules to contextual and/or audience-based strategy

4. Explore and support the development of our New Marketing Outcomes: Video & CTV, Contextual, and Omnichannel.

5. 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.

6. 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...

What you’ll do

You enjoy solving real-world problems with data. Our business is built on a quantitative culture. You will be assigned to one or several projects.

Overall, your responsibilities include:

7. Build scalable analytic solutions using state-of-the-art tools based on large and granular datasets

8. Develop models and conduct data-driven analysis to measure the impact of your solutions

9. Define, drive and analyze results of experiments, both offline and on-line (e.g. A/B tests)

10. Identify and quantify opportunities for optimizations and product development

11. Transform business problems into actionable insights.

Who You Are:

12. Master’s degree or higher in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)
13. Outstanding analytical skills and creative thinking
14. Fluency in the core toolkit of Data Science:
15. Manipulating large-scale data sets
16. Building data pipelines
17. Descriptive and predictive modeling
18. Implementing visualizations, dashboards, and reports
19. Excellent interpersonal and communication skills, pro-active and independent
20. Fun to work with!

NB: Please send us a resumé in English