Data Scientist (Madrid)

Data Scientist (Madrid)

15 sep
|
Daon
|
Madrid

15 sep

Daon

Madrid

Remote
Please submit your CV in English. As English is the primary working language, a minimum proficiency level of B2 is required.
Daon is a integral leader in digital identity fraud prevention and protection against AI-generated synthetic identities. Recognized as a leading provider by Gartner, KuppingerCole, and Frost & Sullivan, Daon is shaping the future of identity security.
Come play a part in advancing the next generation of facial liveness, matching, and anti‐fraud biometric technologies.
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. Developing machine learning algorithms for face authentication solutions
Testing and configuring face algorithms to meet performance and accuracy standards
Applying and continuously growing your expertise in AI, machine learning, and computer vision
A 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
Strong programming skills in Python and/or C++, including version control, testing, and debugging
(2) Data & Experimental Methods
Familiarity with synthetic data generation or weakly/lightly supervised learning approaches
(Strong written and verbal communication skills in English
Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field is preferred.
Flexible working environment to create a very balanced work/life schedule for you and your family
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status.

📌 Data Scientist (Madrid)
🏢 Daon
📍 Madrid

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