Job ID: r17428
What You'll Do:
At Criteo, we’re not just crunching numbers; we’re revolutionizing the way brands connect with their audiences.
In the Measurement group, our mission is to measure the delivery and performance of marketing campaigns by all means necessary (directly, through experiments, or using third-party data). We prepare and expose measurement data to internal and external stakeholders for reporting and optimization purposes. To do so, you will:
Design and implement solutions that capture user interactions across channels (web, mobile, social) while preserving user privacy.
Develop applications that serve tens of thousands of requests per second.
Build multi-stage data pipelines processing terabytes of data every day.
Analyze the data using statistical techniques.
Collaborate with ML teams to provide relevant training and A/B test data for their needs.
Criteo plays an important role in shaping the future of privacy-conscious digital advertising. We achieve this by collaborating with industry partners, including browsers, publishers, other AdTech players, standardization bodies, and competition authorities. As part of the Measurement group, you will be able to directly contribute to this collaboration.
Who You Are:
Master degree/PhD in Machine Learning, Computer Science or a related quantitative field
Experience in development in at least one mainstream programming language (Python, Java, C++ etc.)
You are skilled in sourcing, cleaning, manipulating and analyzing large volumes of data, ideally in a Hadoop programming environment.
Experience with traditional and state-of-the-art machine learning techniques is a strong plus
Ready to make your mark? Join us at Criteo and redefine the advertising landscape—one pixel at a time!
We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!
Who We Are:
Criteo is the global commerce media company that enables marketers and media owners to deliver richer consumer experiences and drive better commerce outcomes through its industry leading Commerce Media Platform.
At Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 3,600 Criteos collaborates to develop an open and inclusive environment. We seek to ensure that all of our workers are treated equally, and we do not tolerate discrimination based on race, gender identity, gender, sexual orientation, color, national origin, religion, age, disability, political opinion, pregnancy, migrant status, ethnicity, marital or family status, or other protected characteristics at all stages of the employment lifecycle including how we attract and recruit, through promotions, pay decisions, benefits, career progression and development. We aim to ensure employment decisions and actions are based solely on business-related considerations and not on protected characteristics. As outlined in our Code of Business Conduct and Ethics, we strictly forbid any kind of discrimination, harassment, mistreatment or bullying towards colleagues, clients, suppliers, stakeholders, shareholders, or any visitors of Criteo. All of this supports us in our mission to power the world’s marketers with trusted and impactful advertising encouraging discovery, innovation and choice in an open internet.
Why Join Us:
At Criteo, we take pride in being a caring culture and are committed to providing our employees with valuable benefits that support their physical, emotional and financial wellbeing, their interests and the important life events. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We want to set you up for success in your job, and an important part of that includes comprehensive perks & benefits. Benefits may vary depending on the country where you work and the nature of your employment with Criteo. When determining compensation, we carefully consider a wide range of job-related factors, including experience, knowledge, skills, education, and location. These factors can cause your compensation to vary.