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      T-Mobile

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      Buscas relacionadas: Avaliações da empresa T-Mobile | Vagas da empresa T-Mobile | Salários da empresa T-Mobile | Benefícios da empresa T-Mobile
      Entrevistas da empresa T-MobileEntrevistas do cargo de Data Scientist da empresa T-MobileEntrevista da empresa T-Mobile


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      Entrevista para Data Scientist

      14 de mar. de 2022
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência negativa
      Entrevista fácil

      Candidatura

      Candidatei-me por indicação de um funcionário. O processo levou 3 semanas. Fui entrevistado pela T-Mobile em fev. de 2022

      Entrevista

      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

      Perguntas de entrevista [1]

      Pergunta 1

      Take me through one of your projects
      Responder à pergunta

      Outras avaliações de entrevista de vagas de Data Scientist da empresa T-Mobile

      Entrevista para Data Scientist

      2 de jun. de 2026
      Candidato(a) sigiloso(a) à entrevista
      Nenhuma oferta
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Fiz uma entrevista na empresa T-Mobile.

      Entrevista

      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

      Entrevista para Data Scientist

      23 de abr. de 2025
      Candidato(a) sigiloso(a) à entrevista
      Praga
      Nenhuma oferta
      Experiência negativa
      Entrevista fácil

      Candidatura

      Candidatei-me online. Fui entrevistado pela T-Mobile (Praga) em abr. de 2025

      Entrevista

      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?

      Perguntas de entrevista [1]

      Pergunta 1

      Analyze a Dataset Airplane Crashes Since 1908
      1 resposta
      1

      Entrevista para Data Scientist

      30 de jan. de 2024
      Candidato(a) sigiloso(a) à entrevista
      Atlanta, GA
      Nenhuma oferta
      Experiência positiva
      Entrevista com nível médio de dificuldade

      Candidatura

      Candidatei-me por indicação de um funcionário. O processo levou 1 semana. Fiz uma entrevista na empresa T-Mobile (Atlanta, GA).

      Entrevista

      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.

      Perguntas de entrevista [1]

      Pergunta 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.**
      Responder à pergunta
      2