P Data Scientist – RecSys Remote, Portugal | Product Department p About the role /pp Our client - they#39;re looking for a Data Scientist specialising in Recommendation Systems to 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.
/pp Key Responsibilities /pulli Design, implement and optimise end-to-end recommendation pipelines (data ingestion to model inference) /lili Build and maintain scalable ETL pipelines /lili Develop, evaluate and continuously improve ML models for RecSys /lili Research and prototype SOTA approaches to improve recommendation quality /lili Integrate multi-modal data (behavioural, transactional, contextual) into models /lili Design and analyse A/B tests; build dashboards to track model metrics and business KPIs /lili Collaborate with Data Engineers, Software Engineers and stakeholders /li /ulp Required Skills /pulli Strong Python (production), including Pandas, Polars, NumPy, scikit-learn, PyTorch, TensorFlow, JAX, Hugging Face /lili End-to-end ML deployment on cloud platforms (Azure, GCP or AWS) — ETL to monitoring /lili Deep learning–based recommender systems (next-item prediction, sequential models) /lili SQL and NoSQL databases (PostgreSQL, Redshift, Snowflake, BigQuery, MongoDB, Cassandra) /lili Unit/integration testing (Pytest), CI/CD, Docker /li /ulp Bonus Points For /pulli Large-scale RecSys (candidate generation, ranking, retrieval, personalisation) /lili Publications in deep learning at relevant conferences /lili Transformer-based models / LLMs applied to RecSys /lili Distributed training and big data tech (Spark, Kafka, Databricks) /lili Multi-modal models (text, images, audio) /li /ulp What They Offer /pulli Competitive comp based on experience /lili Remote-friendly, flexible hours /lili Work on state-of-the-art ML infrastructure at scale /lili Open-source contribution opportunities /li /ul /p