Data Scientist, Criteo
Product Analytics
The commerce media platform for the open internet
Open for applications
The commerce media platform for the open internet
1001+ employees
Open for applications
1001+ employees
Company mission
To help marketers and media owners reach their goals through the world's leading Commerce Media Platform.
Role
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:
- 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
- Fun to work with!
What the job involves
- 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
- 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..
- 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
- 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
Application process
- Please send us a resumé in English
Our take
Commerce marketing is a huge business with billions spent every year on adverts. And companies that help businesses create and deliver more targeted adverts can command a lot of value. Criteo is one such company operating in this space.
Criteo is a personalised retargeting company connecting marketers and media owners through its Commerce Media Platform, delivering richer consumer experiences. Criteo uses machine-learning technology and data to drive performance, helping marketers and media owners reach their goals.
As marketers are increasingly looking for commerce media solutions, Criteo is operating in a sought-after space. Further, around 73% of media owners seek to optimise media performance as a way to both generate awareness and drive revenue, meaning the company has a significant potential client base. Criteo has continued to make headway here, driving 5 billion ads per day, and is well set to see further adoption of its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Sep 2012
$38.6m
SERIES D
May 2010
$7m
SERIES C
Total funding: $59.6m
Company HQ
New Athens, Paris, France
Leadership
Michael Komasinski
(CEO)Prior to joining Criteo in 2025, Michale was the CEO of the America and Group President of Data and Technology at dentsu. He also spent nearly 9 years at Merkle, in various roles, including President of the Americas and Global CEO.
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