About the job
About DoubleVerify and Scibids
DoubleVerify, in collaboration with Scibids, stands at the forefront of AI-driven digital campaign activation. Our innovative solutions empower brands worldwide to enhance ad performance, optimize outcomes, and streamline operational efficiency. Utilizing advanced technology that operates independently of digital identifiers like cookies, our platform integrates seamlessly with leading Demand-Side Platforms, including The Trade Desk, DV360, and Xandr. For more insights, visit our website.
Scibids’ AI Optimization technology empowers trading desks with machine learning tools that leverage real-time performance data, enabling them to determine the optimal bidding strategies for each advertising opportunity. This approach results in significant performance enhancements for advertisers. Our Paris office is home to a talented team of over 30 Data Scientists working in tandem with DoubleVerify’s global engineering and data science teams.
About the Role
The mission of Scibids AI is to equip media buyers with automated buying strategies for display campaigns, achieving exceptional performance with minimal human intervention.
As a Senior Data Scientist, you will play a pivotal role in refining and advancing the Scibids DoubleVerify bidding algorithms, the core intelligence of our platform. You will lead the enhancement of our automation framework, translating complex business challenges into scalable product improvements. This role demands a unique blend of statistical acumen and practical implementation skills.
Your day-to-day responsibilities will include:
- Overseeing projects from inception through to production deployment and monitoring, ensuring accountability at every stage.
- Mentoring junior data scientists and developers, providing technical expertise, conducting code reviews, and sharing best practices to uphold high standards of code quality.
- Working with extensive datasets, handling billions of ad impressions each month and millions of variables.
- Tackling complex analytical challenges that cannot be solved with standard machine learning techniques.
- Addressing intricate scaling and engineering challenges as our operations expand.
