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Salary
≈ $63k – $105k per year (Estimated)
Location
Hybrid (Paris, France)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 2, 2026.

Overview
Company
Impact
Profile match
The Ministère des Armées et des Anciens combattants is the French government ministry responsible for national defence, the armed forces and veterans affairs, headquartered in Paris. It oversees the French Army, Navy and Air and Space Force, the defence procurement agency, defence schools such as ENSTA Paris and a wide network of bases, depots and support services across mainland France and overseas, including Toulon, Brest and Toulouse. Its civilian recruitment covers software developers and lead developers, IT and communication systems project managers, logistics and infrastructure technicians, HR project leads and property maintenance staff.

Rejoignez le ministère des Armées en tant que Chef de section - Data Scientist. Vous serez responsable d'une équipe de deux chargés d'études, en charge de la réalisation de statistiques et d'études sur le parcours professionnel et les conditions de vie du personnel. Vous apporterez un soutien méthodologique et conduirez des études sur des bases de données complexes. Vous entretiendrez également des liens avec les commanditaires internes et les partenaires du système statistique public.

Missions

  • Responsable de la réalisation de statistiques et études nationales ou territorialisées sur les thèmes du parcours professionnel et des conditions de vie du personnel du Minarm.
  • Apporter un soutien méthodologique aux agents de la section en mobilisant des techniques statistiques avancées.
  • Conduire des études en propre sur des bases de données complexes, en mobilisant les logiciels statistiques R ou Python.

Profil recherché

Profil recherché

Titulaire d'un diplôme de niveau Master 2 ou équivalent dans le domaine de l'analyse de données (statistiques, data science...). Vous avez une expérience d'au moins 5 ans en tant que data analyst ou data scientist. Vous maitrisez les outils d'analyse (R indispensable, Python apprécié). Votre pédagogie, vos qualités relationnelles et votre sens du travail en équipe sont indispensables à l'exercice de ces missions. Une expérience professionnelle réussie au Minarm serait fortement appréciée.

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