Project Leader - Product Data Science

Requirements

• 5+ years’ experience in an analytical role in Technology, Engineering, Consulting or Finance
• 2+ years of project management experience
• Master’s degree or higher in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)
• Strong interest in data science, statistics, and predictive approaches
• Proficiency in core data science tools and methodologies
• Effective communicator, able to engage both technical and non-technical audiences
• Ability to navigate and influence complex, global organizations
• Fluent in English

What the job involves

• The Data Science & Product Analytics (PAX) 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 breakthroughs to keep the company ahead in a rapidly evolving media landscape
• The team combines data and business expertise to support feature teams, offers a unique understanding of Criteo’s complex systems, and helps Product Managers design and build products
• We serve as trusted partners to leadership and work closely with Product Managers, R&D, Finance & Business teams
• The topics we tackle are wide and always evolving!
• Support Product and R&D teams in building and scaling a universal measurement and incrementality framework, turning complex signals into actionable insights that help advertisers understand and optimize 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
• Define, track, and leverage key platform metrics, strategic initiatives, and user insights to drive adoption, reliability, and continuous improvement of the self-service platform experience for both clients and Criteo
• Data Science & Product Analytics Project Leaders play a central role in driving PAX initiatives. As key stakeholders, they ensure teams stay focused on top priorities, contribute directly to project success, and actively steer the roadmap across PAX teams
• Act as the main contact for R&D and Product teams, providing expertise on your scope. Foster cross-team collaboration, shape roadmaps with Product and R&D, and challenge design decisions to ensure alignment with strategy
• Coordinate Data Science contributors to deliver on the project roadmap, translating early-stage business needs into actionable analytics features and plans while independently navigating challenges by selecting appropriate methods and approaches
• Apply data science to support product vision, using AI, statistics and modeling to guide decisions and deliver actionable insights for product features
• Communicate effectively with senior stakeholders and leadership by adapting messaging to suit diverse audiences