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DoubleVerify recherche un Data Scientist pour améliorer les algorithmes de bidding de leurs solutions. Vous serez en charge d’automatiser des processus, de résoudre des problèmes complexes d'analyse et de travailler avec de grandes quantités de données pour optimiser la performance publicitaire. Ce rôle requiert une forte capacité analytique et une expérience en mathématiques appliquées. Rejoignez une équipe dynamique et innovante, avec la possibilité de partager des options d'actions.
Recently, DoubleVerify acquired Scibids, a company providing an end-to-end, comprehensive measurement and granular optimization platform. DoubleVerify is a recognized market innovator with technology and tools that authenticate digital media quality and enhance ad performance for major brands. Since 2008, DV has helped numerous Fortune 500 companies optimize their media spend with solutions that promote transparency and accountability, ensuring high-quality impressions for maximum advertising impact.
Scibids' technology integrates artificial intelligence to optimize bidding strategies for digital advertising, significantly improving performance and efficiency. The company was recognized as one of the most innovative startups in 2017 and has rapidly expanded its global client base, supported by recent funding to maintain its position as a leading algorithmic media trading platform.
What you will do & what we offer
The mission of Scibids is to enable media buyers to automate display campaign strategies for superior performance with minimal manual intervention.
As a Data Scientist, your role will focus on evaluating and enhancing the "Scibids DoubleVerify" bidding algorithms, which are core to our offerings. You will actively participate in automating and developing our products, aiming to continually improve and adapt our solutions to new business cases. This role requires analytical rigor, curiosity, a strong grasp of statistical methods, and practical implementation skills.
Responsibilities include:
Qualifications:
Preferred qualifications include experience with SQL-like languages. The technical stack includes Python, Kubernetes, Docker, and GitHub. We value automation, data-driven decisions, teamwork, curiosity, and a sense of humor. Our team shares stock options and aims to make Scibids the next big name in adtech.
Others: