Product Data Scientist - Analytics

  • CDI
  •  Paris
  •   il y a 131 jours


  • Cette annonce est désactivée, il n'est donc plus possible d'y postuler.

Vue d'ensemble

75009 Paris 9eCDIWho we areAt Criteo, we connect 1.5 billion active shoppers with the things they need and love. Our technology takes an algorithmic approach to predict what user we show an ad to, when, and for what products. Our dataset is about 50 petabytes in Hadoop (more than 120 TB extra per day) and we take less than 10ms to respond to an ad request. This is truly big data and machine learning without the buzzwords. If scale and complexity excite you, join us.
Overview
We are innovative, passionate and result-driven. We are an interdisciplinary team, leveraging the strengths of engineers and scientists.
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 are committed to designing and building technical solutions to strengthen Criteo's Core Products and explore strategic Game Changers to keep-up with a fast-evolving product landscape. We focus on innovation to better serve new consumer behaviors and power the world's marketers / brands / retailers / publishers with trusted and impactful advertising.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!

  • Support the Trading strategies and R&D teams to measure and enhance our incrementality
  • Improve Identity solutions by optimizing our capability to recognize users across all their devices and their interactions in the open-internet
  • Work with our Creatives team to understand users interactions with Criteo ads
  • Identify and deliver the most relevant insights and performance levers to our clients through our Criteo Self-Service Platform
  • Leverage data-driven analysis to support our Universal Catalog team, powering Criteo products.


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:

  • Build scalable analytic solutions using state-of-the-art tools based on large and granular datasets
  • Develop models and conduct data-driven analysis to measure the impact of your solutions
  • Define, drive and analyze results of experiments, both offline and on-line (e.g. A/B tests)
  • Identify and quantify opportunities for optimizations and product development
  • Transform business problems into actionable insights



Our Director of #Analytics and #datascience Charles-Henri unveil what's behind in term of missions, activities, tools, and scientific foundations on our #techblog.




Profil(s) recherché(s)

Who you are

  • Master's degree or higher in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)
  • Outstanding analytical skills and creative thinking
  • Fluency in the core toolkit of Data Science:

o Manipulating large-scale data setso Building data pipelineso Descriptive and predictive modelingo Implementing visualizations, dashboards, and reports

  • Excellent interpersonal and communication skills, pro-active and independent
  • Fun to work with!

Informations complémentaires

At Criteo, we dare to be different. We believe that diversity fuels innovation and creates an energy that can be seen and felt all over Criteo. We champion different perspectives and are committed to creating a workplace where all Criteos are heard, feel a sense of belonging, and are treated with respect and dignity.
Criteo collects your personal data for the purposes of managing Criteo's recruitment related activities. Consequently, Criteo may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to the different Criteo entities across the world. By clicking the "Apply" button you expressly give your consent.

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Date de publication initiale : 06/04/2022