Data Scientist
ARRISE · iGaming
- Work arrangement: fully remote
- Employment type: Full Time
- Seniority: middle
- Posted:
Job description
Position:
Data Scientist
Company:
ARRISE
Location:
Malta
Employment type:
Not Specified
Work Arrangement:
Global remote
Short Summary:
Join ARRISE's Data Science team as a Data Scientist focusing on applied research in computer vision, developing prototypes, and collaborating with ML Engineers to scale solutions.
Responsibilities:
- Design and prototype ML and deep learning models, primarily in computer vision (object detection, classification, tracking).
- Frame business problems as testable hypotheses and develop proofs-of-concept.
- Evaluate and benchmark model architectures and pre-trained models.
- Collaborate with ML Engineers to scale prototypes into production systems.
- Track experiments, manage model and data versioning, and define evaluation metrics.
- Work with product, engineering, and business teams to create applied ML solutions.
Requirement:
- Master's degree in Electrical Engineering, Computer Science, or a related quantitative discipline.
- Hands-on experience with ML and deep learning models, particularly in computer vision.
- Strong proficiency in Python and a deep learning framework (PyTorch or TensorFlow).
- Experience with computer vision models for object detection, image classification, and tracking.
- Solid grounding in deep learning, traditional computer vision, and classical ML.
- Strong experimentation mindset: benchmarking, ablation studies, and structured evaluation.
- Experience with large, complex datasets.
Benefits:
- Work on substantial, real-world computer vision and deep learning problems at scale.
- End-to-end involvement from research and prototyping to production.
- Opportunities for professional and personal development.
- A collaborative, cross-functional environment with visible impact.
Data Scientist
Company:
ARRISE
Location:
Malta
Employment type:
Not Specified
Work Arrangement:
Global remote
Short Summary:
Join ARRISE's Data Science team as a Data Scientist focusing on applied research in computer vision, developing prototypes, and collaborating with ML Engineers to scale solutions.
Responsibilities:
- Design and prototype ML and deep learning models, primarily in computer vision (object detection, classification, tracking).
- Frame business problems as testable hypotheses and develop proofs-of-concept.
- Evaluate and benchmark model architectures and pre-trained models.
- Collaborate with ML Engineers to scale prototypes into production systems.
- Track experiments, manage model and data versioning, and define evaluation metrics.
- Work with product, engineering, and business teams to create applied ML solutions.
Requirement:
- Master's degree in Electrical Engineering, Computer Science, or a related quantitative discipline.
- Hands-on experience with ML and deep learning models, particularly in computer vision.
- Strong proficiency in Python and a deep learning framework (PyTorch or TensorFlow).
- Experience with computer vision models for object detection, image classification, and tracking.
- Solid grounding in deep learning, traditional computer vision, and classical ML.
- Strong experimentation mindset: benchmarking, ablation studies, and structured evaluation.
- Experience with large, complex datasets.
Benefits:
- Work on substantial, real-world computer vision and deep learning problems at scale.
- End-to-end involvement from research and prototyping to production.
- Opportunities for professional and personal development.
- A collaborative, cross-functional environment with visible impact.
Skills
- ci/cd
- cloud_services
- computer_vision
- deep_learning
- docker
- python
- pytorch
- tensorflow
Languages
EN
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