Who you are
- Significant experience in Data Science, Machine Learning, Deep Learning or a closely related quantitative/technical role, with a track record of leading complex machine learning initiatives
- Strong academic background in Computer Science, Applied Mathematics, Physics, Statistics, Engineering, Econometrics, or another quantitative field
- Deep understanding of machine learning and deep learning fundamentals, including neural network architectures, representation learning, optimization and model evaluation
- Extensive hands-on experience developing and deploying Deep Learning models in production environments
- Strong experience with Python and the scientific/machine learning Python ecosystem
- Experience working with large-scale datasets and high-cardinality categorical or ID-based features
- Proven track record of taking machine learning models from experimentation and research through reliable production deployment
- Experience designing or making significant technical contributions to ML architectures, training pipelines,



model serving or other machine learning infrastructure
- Experience working with real-time or latency-sensitive machine learning systems, ideally in advertising, marketplaces, recommendations or other high-throughput environments
- Strong analytical and problem-solving skills, with the ability to independently investigate ambiguous problems and define effective technical solutions
- Strong technical communication skills, with the ability to influence modeling and architectural decisions across multidisciplinary teams
- Experience providing technical leadership, mentorship or direction to other Data Scientists or engineers
- Comfortable conducting daily professional communications in English (written and verbal)
- You have designed and deployed deep learning systems based on embeddings, representation learning or other approaches for learning from high-cardinality entities
- You have experience working on DSPs, programmatic advertis

📌 Principal Data Scientist (España)
🏢 Jampp
📍 España