Director of Data Science and AI, Recommender Systems and Martech

Propertyvalue
Barcelona, Spain
23 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Big Data Python (Programming Language) Recommender Systems Tensorflow Standard Sql Pytorch Deep Learning Pyspark Data Pipelines

Requirements

Experteer Overview As Director of Data Science and AI, Recommender Systems and Martech, you’ll steer ML initiatives for user discovery and top-of-funnel growth. You lead AI engines powering recommendations and the MarTech stack for acquisition, shaping scalable models across 65+ markets. You’ll advance MMM, bidding optimization, and LTV-based strategies to optimize marketing spend and personalize first experiences. You’ll bridge product discovery with performance marketing, leveraging deep learning and causal inference at scale.Compensaciones / Beneficios - Design and evaluate architectures for discovery using advanced models (Two-Tower, Transformers) to improve vendor relevance at entry - Develop acquisition-focused Martech with MMM, automated bidding for SEM and Paid Social, and predictive LTV - Establish causal inference frameworks to measure true marketing incrementality and feature impact - Collaborate across Growth Marketing, Performance Marketing, and Product Engineering to scale and expand markets - Build scalable MLOps for real-time bidding and ranking with high-throughput data pipelines - Maintain cutting-edge AI/ML strategy in Recommendations and Growth Tech, including generative content for ads and data quality monitoring - Lead adoption of agentic AI frameworks for autonomous campaign optimization and self-healing data pipelines with safety guardrailsResponsabilidades - Leadership of data science and AI teams at scale - Masters or higher in a quantitative field - Strong Python and SQL skills; experience with PyTorch, TensorFlow, or JAX - Experience with cloud platforms (GCP/AWS) and large-scale data systems (PySpark, Airflow) - Ability to translate AI concepts into business implications for senior leadershipRequisitos principales -

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