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Lead Data Scientist

NAMIRIAL France

Montpellier

Sur place

EUR 60 000 - 90 000

Plein temps

Il y a 24 jours

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Résumé du poste

Une entreprise technologique de premier plan recherche un Lead Data Scientist pour diriger une équipe dédiée à l'extraction d'informations clés et à l'analyse de fraudes. Vous serez responsable de la recherche et du développement d'algorithmes avancés, tout en assurant la conformité réglementaire. Ce rôle requiert une expertise senior et une formation avancée en Data Science ou domaines connexes.

Qualifications

  • Expertise senior requise.
  • Maîtrise du français et anglais professionnel.
  • Compétences en gestion de projets de recherche.

Responsabilités

  • Diriger des projets de recherche de la conception à l'industrialisation.
  • Développer des algorithmes de machine learning/deep learning.
  • Assurer la conformité avec les réglementations (GDPR, CNIL).

Connaissances

Python
TensorFlow
PyTorch
Git
DVC

Formation

Master ou PhD en Data Science, Informatique, Mathématiques

Description du poste

Namirial is a multinational company specializing in Qualified Trust Services and technology solutions that help businesses, professionals, public administrations, and individuals manage digital transactions.

Namirial has more than 1000 employees in its 30 offices across Europe, Latin America, and Asia. It operates in over 85 countries with a network of clients and more than 200 business partners worldwide. We are listed on the EU Trusted List as a Qualified Trust Service Provider (QTSP) according to eIDAS and eIDAS 2 requirements. Independent analysts rank us among the world's leading providers of Digital Transaction Management.

Our international experience and knowledge of various markets, developed in collaboration with our clients and partners, make us a leading global technology player.

Within Namirial, our KYC / Onboarding solutions utilize internally developed services to perform automated key information extraction, fraud detection, and other document processing tasks on various documents, including official IDs and supporting documents. These solutions employ advanced techniques, including AI-based image processing and natural language processing, to counter evolving fraud methods.

Role Description:

The Lead Data Scientist is a senior role responsible for leading the team that researches and maintains AI services used for key information extraction, fraud analysis, and document processing.

Reporting to the Team Lead Manager, the Lead Data Scientist works with a diverse team of research and software delivery professionals across different levels of seniority. They oversee initiatives from research to production, ensuring proper methodologies, tooling, and ongoing training on scientific and business advancements.

Collaborating with the Team Lead Manager, Product Owner, and other team leads, the Lead Data Scientist ensures that research efforts align with business objectives and contributes to roadmap planning.

Responsibilities:
  • Stay updated with state-of-the-art research and share knowledge within the team.
  • Prototype and develop machine learning/deep learning algorithms to meet business goals.
  • Lead research projects from conception to industrialization in production.
  • Ensure adherence to research methodologies, documentation, and best practices in software delivery.
  • Facilitate data-driven decision-making and approach evaluation.
  • Define tooling requirements and contribute to budget planning.
  • Monitor and ensure model performance and quality in production, defining relevant metrics and KPIs.
  • Coach and train team members, especially new hires and junior staff.
  • Coordinate collaborations with third parties, including subcontractors and external researchers.
  • Ensure compliance with current legislation and data processing regulations (GDPR, CNIL, IA Act).
Technical Skills:
  • Python, TensorFlow, PyTorch
  • Git, DVC
  • Experience with research paper analysis and implementation
Know-How:
  • Leadership and research project management
  • Teamwork and cross-functional collaboration
  • Curiosity, depth of knowledge, adaptability, resilience
  • Reliability, problem-solving, creativity
Organizational Skills:
  • Time management, meeting deadlines, transparency
  • Prioritization, process adherence
Other Requirements:
  • Fluent in French and professional proficiency in English
Profile:
  • Master's or PhD in Data Science, Computer Science, Mathematics, or related field
  • Senior level expertise

Employment Type: Full Time

Experience: Senior

Vacancy: 1

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