Data Scientist, Recommender Systems | Remote | Python, PyTorch, Deep LearningMillions of players. Thousands of games. One question: what should they play next?We're hiring aData Scientist specialising in Recommender Systemsfor a fast-growing general gaming technology company. You'll build the machine-learning models that decide what millions of players discover, and you'll see your work go live, not sit in a notebook.What you'll actually doBuild recommendation models.Candidate generation, retrieval and ranking that make every player's lobby feel personal.Predict what's next.Use sequential behaviour, user and item embeddings and deep learning for next-item prediction.Ship to production.Take models from data and experiments through deployment and monitoring, then keep improving them.Prove it works.Run offline evaluation and A/B testing, and connect model quality to real product results.Try new things.Test transformer-based recommendation,



two-tower models and multimodal signals where they genuinely help.What you'll bringAround 3–5 years of hands-on experience inmachine learning, with real work onrecommender systems, personalisation or rankingStrongPython and SQLDeep-learning experience withPyTorch, TensorFlow or JAXModels you've taken toproductiononAWS, GCP or AzureThe ability to explain what you built, why, and what changed because of itTwo-tower models, learning to rank, ANN search, cold start, session-based recommendations, MLOps, Spark, Kafka or Flink. Experience from e-commerce, streaming, media, marketplaces or ad tech counts. Your job title matters less than what you've built.Why you'll like itReal scale:your models reach millions of players worldwide.Real ownership:you own problems from idea to production.Real growth:learn alongside data scientists, ML engineers and data engineers who ship.Modern stack:deep learning, cloud ML and real-time data, with room to test new ideas.#J-18808-Ljbffr

📌 Data Scientist Recommender Systems (Madrid)
🏢 EyeSpy Recruitment
📍 Madrid