Data Scientist – RecSysRemote, Portugal | Product DepartmentAbout the role Our client - they're looking for a Data Scientist specialising inRecommendation Systemsto join their global Data Science team — building large-scale, production-grade RecSys that impact millions of players worldwide, working alongside Data Scientists, Engineers and Data Engineers.Key Responsibilities Design, implement and optimise end-to-end recommendation pipelines (data ingestion to model inference) Build and maintain scalable ETL pipelines Develop, evaluate and continuously improve ML models for RecSys Research and prototype SOTA approaches to improve recommendation quality Integrate multi-modal data (behavioural, transactional, contextual) into models Design and analyse A/B tests; build dashboards to track model metrics and business KPIs Collaborate with Data Engineers, Software Engineers and stakeholdersRequired Skills StrongPython(production), including Pandas, Polars, NumPy, scikit-learn, PyTorch, TensorFlow, JAX, Hugging Face End-to-end ML deployment on cloud platforms ( Azure, GCP or AWS ) — ETL to monitoring Deep learning–based recommender systems (next-item prediction, sequential models) SQL and NoSQLdatabases (PostgreSQL, Redshift, Snowflake, BigQuery, MongoDB, Cassandra) Unit/integration testing (Pytest), CI/CD, DockerBonus Points For Large-scale RecSys (candidate generation, ranking, retrieval, personalisation) Publications in deep learning at relevant conferences Transformer-based models / LLMs applied to RecSys Distributed training and big data tech (Spark, Kafka, Databricks) Multi-modal models (text, images, audio)What They Offer Competitive comp based on experience Remote-friendly, flexible hours Work on state-of-the-art ML infrastructure at scale Open-source contribution opportunities