Data Scientist – RecSys

🔥 14 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ARRISE

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🎮 Gaming

🤝 B2B

Gaming • B2B

ARRISE is a global software developer and services company focused on the iGaming industry. With more than 11,000 professionals across 14 locations, they design and build casino products including award-winning slot games, immersive live-casino experiences, and high-performance platform solutions that scale from concept through execution. ARRISE combines creative game design and technical engineering to drive player engagement and support operators and partners in the online gambling sector.

📋 Description

• Design, implement, and optimize end-to-end recommendation pipelines from data ingestion to model inference • Build and maintain scalable ETL pipelines for reliable and efficient data flows • Develop, evaluate, and continuously improve machine learning models for recommendation systems • Research, prototype, and implement state-of-the-art approaches to improve recommendation quality and business metrics • Scale and optimize data and model pipelines for large volumes of data and real-time or batch processing • Integrate behavioral, transactional, and contextual signals from multiple systems into recommendation models • Implement unit and integration tests across data, modeling, and deployment workflows • Monitor and maintain data pipelines, model quality, end-to-end system performance, and downstream impact • Design and analyze A/B tests to evaluate model performance and support data-driven product decisions • Build dashboards and observability tools for model metrics, system health, and business KPIs • Collaborate with Data Engineers, Software Engineers, and stakeholders to deliver scalable, production-ready solutions

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field • Strong Python experience with recent production use • Hands-on experience with data science and machine learning libraries and frameworks, including Pandas, Polars, NumPy, scikit-learn, PyTorch, TensorFlow, JAX, and Hugging Face • Experience building and deploying end-to-end machine learning systems on Azure, GCP, or AWS cloud AI platforms • Experience with ETL pipelines, deployment and monitoring, model versioning, and experiment tracking • Experience supporting batch or real-time workflows • Strong understanding of deep learning–based recommender systems for next-item prediction • Understanding of analogous NLP architectures modeling sequential patterns and context • Experience building efficient data transformation pipelines for OLTP and OLAP workloads • Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, Redshift, Snowflake, BigQuery, MongoDB, and Cassandra • Experience with unit and integration testing, such as Pytest • Experience with CI/CD pipelines • Experience with Docker-based containerization

🏖️ Benefits

• Growth opportunities at all levels • Constant investment in employees • Strategic partnerships opening new opportunities for success