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# Data Scientist

- **Company:** Daon Inc
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Biometrics, C++ (Programming Language), Encodings, Computer Programming, Data Transformation, Software Debugging, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Tensorflow, Supervised Learning, Pytorch, Deep Learning, Spoofing, Information Technology, Feature Extraction, Software Version Control, Software Library, Data Generation
- **Published:** August 11, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-872853a7fdac0228cbc805a295faa38f

## About the Role

fraud prevention methods - Testing and configuring face algorithms to meet performance and accuracy standards - Extending and utilising existing biometric code libraries - Running rigorous experiments, interpreting findings, and translating outcomes into deployable models and policies - Helping to innovate and develop solutions to emerging face biometrics challenges - Applying and continuously growing your expertise in AI, machine learning, and computer vision What you have: Hands on experience in at least two of the areas listed below. A proven track record through project delivery, research contributions, or a minimum of two years of relevant employment experience: (1) Computer Vision & Deep Learning - Strong grounding in computer vision and machine learning principles - Proficiency with deep learning frameworks such as PyTorch or TensorFlow - Solid understanding of detection, recognition, and classical CV pipelines - Strong programming skills in Python and/or
C++, including version control, testing, and debugging (2) Data & Experimental Methods - Experience handling, preprocessing, and analysing large-scale datasets - Familiarity with synthetic data generation or weakly/lightly supervised learning approaches (3) Image Recognition & Matching - Experience with authentication, identity matching, or metric learning - Knowledge of feature extraction, alignment, and embedding-based systems (4) Liveness & Anti-Spoofing - Exposure to presentation attack detection, including replay, mask, or deepfake scenarios - Interest or experience in adversarial robustness and anti-spoofing research Nice to have: - Ability to review, interpret, and implement state-of-the-art research - Comfortable using AI tools to accelerate workflow and productivity - Awareness of privacy, ethics, and security considerations in biometrics - Strong written and verbal communication skills in, English Education Bachelors, Masters, or PhD in

## Description

and Frost & Sullivan®, Daon is shaping the future of identity security. Daon has been providing fraud-prevention solutions to organisations across six continents for over two decades. Come play a part in advancing the next generation of face liveness, matching, and anti-fraud biometric technologies. Role Overview As part of a collaborative team of research and data scientists based in Europe, you will play a meaningful role in advancing Daon's biometric solutions. Working closely with research and engineering colleagues, your primary focus will be on improving and developing new biometric technologies that are delivered on time and aligned with our strategic objectives. You will report directly to the Principal Research Scientist. What You'll Do Working with the latest face biometric technologies, your responsibilities will include: - Developing machine learning algorithms for face authentication solutions - Researching, prototyping, and evaluating presentation attack detection and


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