Aller au contenuAller au pied de page
  • Emplois
  • Entreprises
  • Salaires
  • Pour les employeurs

      Boostez votre carrière

      Découvrez votre salaire potentiel, décrochez des emplois de rêve et partagez vos témoignages de manière anonyme.

      employer cover photo
      employer logo
      employer logo

      T-Mobile

      Employeur impliqué

      À propos
      Avis
      Salaires et avantages
      Emplois
      Entretiens
      Entretiens
      Recherches associées: Avis sur T-Mobile | Offres d’emploi chez T-Mobile | Salaires chez T-Mobile | Avantages sociaux chez T-Mobile
      Entretiens chez T-MobileEntretiens d’embauche pour Data Scientist chez T-MobileEntretien chez T-Mobile


      Glassdoor

      • À propos
      • Récompenses
      • Blog
      • Nous contacter
      • Guides

      Employeurs

      • Compte employeur gratuit
      • Centre employeur
      • Blog pour les employeurs

      Informations

      • Aide
      • Règles de la communauté
      • Conditions d'utilisation
      • Confidentialité et choix publicitaires
      • Ne pas vendre ni partager mes informations
      • Outil de consentement aux cookies

      Travailler avec nous

      • Annonceurs
      • Carrières
      Télécharger l'application

      • Parcourir par :
      • Entreprises
      • Emplois
      • Lieux

      Copyright © 2008-2026. Indeed, Inc. « Glassdoor », son logo, « Worklife Pro » et « Bowls » sont des marques déposées de Indeed, Inc.

      Entreprises suivies

      Tenez-vous au courant des dernières opportunités et profitez de conseils d’initiés en suivant les entreprises de vos rêves.

      Recherche d’emplois

      Obtenez des recommandations et des mises à jour personnalisées en démarrant vos recherches.

      Entretien pour Data Scientist

      14 mars 2022
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience négative
      Entretien facile

      Candidature

      J'ai postulé via la recommandation d'un employé. Le processus a pris 3 semaines. J'ai passé un entretien chez T-Mobile en févr. 2022

      Entretien

      Recruiter got in touch with me after application submission and scheduled an introductory session. The call lasted 30 minutes. I was told that next steps would be taken soon. After 1 week, I tried following up and the recruiter had an automated reply telling me that he had left the company and gave an alternate recruiter to contact. After trying to contact the other recruiter, I received a similar email informing me that they had left the company as well. I used the alternate contact on the email to contact another recruiter but never received a reply

      Questions d'entretien [1]

      Question 1

      Take me through one of your projects
      Répondre à cette question

      Autres retours d’entretien d’embauche pour un poste comme Data Scientist chez T-Mobile

      Entretien pour Data Scientist

      2 juin 2026
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai passé un entretien chez T-Mobile

      Entretien

      HR interview, then call with teamleader, then case study and interview with more team members. Professional approach, respectful towards the candidates, I felt that the company provides me with all the necessary information

      Entretien pour Data Scientist

      23 avr. 2025
      Candidat à l'entretien anonyme
      Prague
      Aucune offre
      Expérience négative
      Entretien facile

      Candidature

      J'ai postulé en ligne. J'ai passé un entretien chez T-Mobile (Prague) en avr. 2025

      Entretien

      The first round was an online interview where we talked about general things and a bit about my experience - very straightforward. After passing that round, I received a take-home assignment, with less than a week to complete it (in my case, it involved one of the Kaggle datasets and several related questions). The task was to analyze the dataset and create a presentation - mostly using a Jupyter notebook for visualization, and also applying some NLP techniques like clustering. Then, the second stage was to present this work in person. After my presentation, I was told that I would be contacted at the beginning of the following week once all other presentations had been completed, and that I would receive feedback regardless of the outcome. A week passed and no one got in touch. Another week later, I reached out to the recruiter to ask what happened - she contacted the team, and I was eventually told, 'Everything was good, but we chose another candidate.' I’m totally fine with not being selected, I was mentally prepared for that. What I don’t understand is the unprofessional communication. I spent significant time on a challenging take-home assignment, prepared and delivered a full presentation in your office, and you couldn't even provide proper feedback as promised?

      Questions d'entretien [1]

      Question 1

      Analyze a Dataset Airplane Crashes Since 1908
      1 réponse
      1

      Entretien pour Data Scientist

      30 janv. 2024
      Candidat à l'entretien anonyme
      Atlanta, GA
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé via la recommandation d'un employé. Le processus a pris 1 semaine. J'ai passé un entretien chez T-Mobile (Atlanta, GA)

      Entretien

      1. Initial Screening: Assessing candidates' qualifications and experience through resume review and an initial phone or video interview to gauge their understanding of key data science concepts and skills. 2. Technical Assessment: Evaluating candidates' technical proficiency with data manipulation, analysis, and machine learning through a coding challenge or case study, assessing their problem-solving abilities. 3. Final Interview: Conducting a comprehensive interview with a panel, focusing on both technical and soft skills, to assess communication, collaboration, and domain knowledge while ensuring alignment with the organization's values and goals.

      Questions d'entretien [1]

      Question 1

      1. **Can you discuss a complex data science project you've led, highlighting key methodologies and outcomes?** 2. **How do you handle missing data in a dataset, and what impact might it have on model performance?** 3. **Explain a machine learning algorithm to a non-technical stakeholder, emphasizing its business implications.** 4. **Why is regularization important in machine learning, and how does it affect model generalization?** 5. **Describe your approach to staying updated with the latest trends and advancements in the field of data science.**
      Répondre à cette question
      2