Data Scientist Senior

R&S Telecom • Python • Power BI • 6 days ago
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Salary
≈ $51k – $84k per year (Estimated)
Location
Hybrid (Tremblay-en-France, France)
Seniority
Senior · 5+ years exp
Employment
Freelance

First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match

R&S Telecom

R&S Telecom is a French IT consultancy offering technical expertise and strategic support for digital transformation.
rs-telecom.fr • HQ: Vélizy-Villacoublay, France • Custom Software Development • IT Consulting & Digital Transformation • Est. 2014
Tech stack of R&S Telecom
Contexte de la mission

 

lz client a entrepris un vaste projet d'évolution de son système de Revenue Management. Dans ce cadre, nous

recherchons un Data Scientist senior pour accompagner la réévaluation et modernisation de notre modèle de prévision de demande.

 

Objectifs et livrables

 

  • Diplôme de niveau Master ou Doctorat en Data Science, Statistiques, Mathématiques appliquées ou domaine connexe.

  • Minimum de 5 ans d’expérience en tant que Data Scientist, avec une expertise avérée en prévision de séries temporelles.

  • Maîtrise du langage de programmation tels que Python ainsi que des outils de visualisation de données (Spotfire, PowerBI, etc.).

  • Maîtrise des bibliothèques de machine learning (scikit-learn, etc.) et des techniques statistiques avancées.

  • Solides compétences en analyse de données.

 

Compétences demandéesCompétences

Niveau de compétence

Machine Learning (scikit-learn...)

Expert

Full Stack Python

Confirmé

Analyse de données

Confirmé

Prévision des séries temporelles

Expert

Mathématiques appliquées

Confirmé

Profil recherché

  • Diplôme de niveau Master ou Doctorat en Data Science, Statistiques, Mathématiques appliquées ou domaine connexe.

  • Minimum de 5 ans d’expérience en tant que Data Scientist, avec une expertise avérée en prévision de séries temporelles.

  • Maîtrise du langage de programmation tels que Python ainsi que des outils de visualisation de données (Spotfire, PowerBI, etc.).

  • Maîtrise des bibliothèques de machine learning (scikit-learn, etc.) et des techniques statistiques avancées.

  • Solides compétences en analyse de données.

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