Data Scientist – Face Biometrics

Job not on LinkedIn

🕒 June 23

🇪🇸 Spain – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

🚫👨‍🎓 No degree required

👻 Ghost score 33%

What it means: the chance that no one is really hiring for this job.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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Daon

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🔐 Security

☁️ SaaS

🤝 B2B

Security • SaaS • B2B

Daon is an enterprise identity and biometrics company that provides identity orchestration platforms and cloud/SaaS solutions to verify and authenticate users across channels. Its product suite includes hosted and SaaS platforms (IdentityX, TrustX) and modular products such as xAuth (MFA), xFace (facial authentication), xVoice (voice authentication), xProof (identity verification/IDV), xDeTECH (synthetic voice/deepfake detection), and VeriFLY (travel document validation). Daon’s technologies include facial and voice biometrics, liveness detection, passkeys, FIDO authentication, document verification, NFC/mobile driver’s license support, and deepfake detection. Their solutions focus on KYC/identity verification, contact-center authentication, fraud prevention, age verification, and travel document validation for financial services, crypto, healthcare, public sector, retail, telecom, and travel & hospitality customers.

📋 Description

• Develop machine learning algorithms for face authentication solutions • Research, prototype, and evaluate presentation attack detection and fraud prevention methods • Test and configure face algorithms to meet performance and accuracy standards • Extend and utilise existing biometric code libraries • Run rigorous experiments, interpret findings, and translate outcomes into deployable models and policies • Help innovate and develop solutions to emerging face biometrics challenges • Apply and continuously grow expertise in AI, machine learning, and computer vision • Work collaboratively with research and engineering colleagues • Deliver biometric technologies on time and aligned with strategic objectives • Report directly to the Principal Research Scientist

🎯 Requirements

• Candidates must be resident in Spain at the time of application • Minimum English proficiency level of B2 required; CV must be submitted in English • Hands-on experience in at least two of the listed areas • Proven track record through project delivery, research contributions, or a minimum of two years of relevant employment experience • 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 • Experience handling, preprocessing, and analysing large-scale datasets • Familiarity with synthetic data generation or weakly/lightly supervised learning approaches • Experience with authentication, identity matching, or metric learning • Knowledge of feature extraction, alignment, and embedding-based systems • Exposure to presentation attack detection, including replay, mask, or deepfake scenarios • Interest or experience in adversarial robustness and anti-spoofing research • 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

🏖️ Benefits

• Competitive compensation & benefits • Flexible working environment to create a very balanced work/life schedule for you and your family • Opportunity to work in the growing world of identity verification and authentication, biometrics, telephony, and fraud • Chance to be part of an established & successful team of researchers and scientists

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