Director of Data Science & AI

We are seeking a Director of Data Science and AI, Recommender Systems and Martech to lead our machine learning initiatives focused on user discovery and top-of-funnel growth. In this pivotal role, you will lead the teams responsible for the AI engines that power our recommendation systems and the marketing technology (Martech) stack specifically designed for user acquisition.

You will jointly architect state-of-the-art recommendation models that help new and existing users discover the best content, while simultaneously driving the AI strategy for high-efficiency growth marketing. Your leadership will be instrumental in developing cutting-edge methodologies—such as MMM, bidding optimization, and LTV-based acquisition models—to ensure we are acquiring the right customers at the right price across 65+ global markets.

Operating at a massive scale, you will bridge the gap between product discovery and performance marketing. Your ability to leverage deep learning and causal inference at org level will be critical in optimizing our global marketing spend and ensuring that every new user's first experience on the platform is personalized and high-converting.

Key Responsibilities

• Advanced Personalization & Discovery: Proven ability to guide and evaluate architectures in designing architectures for discovery, including deep learning models such as Two-Tower models, and Transformers for session-based behavior, to ensure users find relevant vendors instantly upon entering the platform.
• Acquisition-Focused Martech: Deep understanding of applying statistics and causal inference to optimize the top of the marketing funnel. This includes building models for Media Mix Modeling (MMM), automated bidding for performance channels (SEM, Paid Social), and predictive Long-Term Value (LTV) to guide acquisition strategy.
• Causal Inference & Incremental Growth: Deep understanding of establishing frameworks to measure the true incrementality of marketing spend and recommendation features.