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# Director of Data Science and AI, Recommender Systems and Martech

- **Company:** Propertyvalue
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Big Data, Python (Programming Language), Recommender Systems, Tensorflow, Standard Sql, Pytorch, Deep Learning, Pyspark, Data Pipelines
- **Published:** July 21, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-89816f4a70097fa91259afd945b7a274

## About the Role

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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