DoubleVerify
Publiée il y a 2 jours · Paris
Sr Data Scientist II
- Paris
- 59 k€ – 101 k€ / an
Description du poste
About DV & Scibids
"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empower global brands to effectively boost ad performance and outcomes while improving operational efficiency and reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/. DV Scibids' AI Optimisation technology equips these trading desks with machine learning solutions which use real-time performance data to discover the optimal amount to bid for each advertising opportunity, thus delivering the final advertisers significant lifts in performance and productivity. The technology developed by Scibids is rooted in a solid scientific and market expertise and now has a team of 30+ Data Scientists based in our Paris office, working alongside DV's global engineering and data science org.
About the Role
The mission of Scibids AI is to provide media buyers with fully automated buying strategies for display campaigns, leading to incomparable performances for a minimum of human work.
As a Sr. Data Scientist II, you will help shape and strengthen the Scibids DoubleVerify bidding algorithms — the central intelligence behind our platform. You will drive the evolution of our automation framework, transforming unmet business cases into scalable product enhancements. This role blends rigorous statistical thinking with hands-on implementation, demanding both intellectual precision and practical execution. This position will combine high development standards, a relentless curiosity, a strong understanding of DV's business priorities and the ambition for your work to become a real game changer! On a day to day basis, your responsibilities will include:
- Managing projects end-to-end, taking ownership fro
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