Director of Data Science & AI
Core
Lead machine learning initiatives for user discovery, top-of-funnel growth, and marketing technology (Martech) across 65+ global markets.
Role type
Director of Data Science & AI (Recommendations & Martech)
Builds
AI engines for recommendation systems, Martech stack for user acquisition, and agentic AI frameworks.
Domain
Digital advertising, performance marketing, and content discovery platforms.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Deep learning (Two-Tower, Transformers), Causal inference, Media Mix Modeling (MMM), Automated bidding strategies, Long-Term Value (LTV) modeling, MLOps for real-time bidding, Agentic AI design, Strategic roadmap planning.
Preferred skills
Generative content for ads, Automated data quality monitoring, Cross-functional growth leadership.
Technologies
Deep learning frameworks, Real-time bidding platforms, Marketing automation tools, Agentic AI frameworks.
Responsibilities
Design and evaluate architectures for user discovery using deep learning models; Build models for MMM, automated bidding, and LTV to guide acquisition strategy; Establish frameworks to measure incrementality of marketing spend and recommendation features; Lead development of high-throughput data pipelines for real-time training and deployment; Drive adoption of cutting-edge methodologies in generative content and agentic AI.
Seniority
Director, strategic leadership & hands-on architecture
