Data Scientist

🕒 August 11

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 13%

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 and develop advanced ML algorithms for image, text, audio, and tabular data • Develop and optimize Azure pipelines to train models across various domains • Implement end-to-end applications in Python, including unit and integration tests • Continuously monitor system performance and troubleshoot issues • Collaborate with cross-functional teams to produce solutions to complex problems • Develop common packages and tools for logging, model inference, and more

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field • Strong proficiency in Python, PyTorch, and TensorFlow • Proven experience managing and analyzing large datasets • Solid understanding of foundational deep learning algorithms • Expertise in unit and integration testing with Pytest and CI/CD pipelines • Experience with data versioning, model management, experiment tracking, key evaluation metrics, and optimization techniques • Extensive knowledge and hands-on experience with Docker • Solid understanding of traditional computer vision and classical machine learning • In-depth experience with computer vision models for object detection, image classification, and segmentation • Experience with Azure services, including ML Studio, Data Factory, Functions, and Blob Storage, or equivalent cloud provider services • Knowledge of AWS services, especially EC2 and S3 • Experience with Hugging Face Transformers, Elastic Stack, and GitLab CI pipelines • Experience with prompt engineering, retrieval-augmented generation (RAG), LLM frameworks such as LangChain, LlamaIndex, and Haystack, and fine-tuning LLMs

🏖️ Benefits

• Growth opportunities at all levels • Investment in employees • Strategic partnerships that open new opportunities for success