Ir al contenidoIr al pie de página
  • Empleos
  • Empresas
  • Sueldos
  • Para empleadores

      Impulsa tu carrera profesional

      Averigua cuánto podrías ganar, encuentra el empleo perfecto y comparte información sobre tu vida laboral y personal de forma anónima.

      employer cover photo
      employer logo
      employer logo

      M Science

      ¿Esta es tu empresa?

      Información
      Evaluaciones
      Pago y prestaciones
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Evaluaciones de M Science | Empleos en M Science | Sueldos en M Science | Prestaciones en M Science
      Entrevistas en M ScienceEntrevistas para el cargo de Data Scientist en M ScienceEntrevista en M Science


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empleadores

      • Cuenta de empleador gratuita
      • Centro de empleador

      Información

      • Ayuda
      • Pautas
      • Condiciones de uso
      • Privacidad y opciones de anuncios
      • No vender ni compartir mi información
      • Herramienta de autorización de cookies

      Trabaja con nosotros

      • Anunciantes
      • Oportunidades laborales
      Descargar aplicación

      • Buscar por:
      • Empresas
      • Empleos
      • Ubicaciones

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor", "Worklife Pro", "Bowls" y sus logotipos son marcas comerciales registradas de Glassdoor LLC.

      Empresas seguidas

      Sigue a tus empresas favoritas para estar al tanto de las últimas oportunidades y disponer de información desde adentro.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista para Data Scientist

      7 may 2021
      Candidato de entrevista anónimo
      New York, NY
      Oferta rechazada
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé en línea. Acudí a una entrevista en M Science (New York, NY) en abr 2021

      Entrevista

      The process involved an initial zoom screen with some technical questions. Then, it entailed a take-home project. After completing this, I had two more zoom calls with other members of the team. Everybody was extremely nice, smart, professional, and seemed like they would be great to work with.

      Preguntas de entrevista [1]

      Pregunta 1

      They asked about basic data science principles which, for me, was fine. The hardest part was being asked questions where there was not an obvious solution. They value creativity, rather than rote mechanical thinking it seems. The process was very fair and I think this company has a bright future in the space in which it operates. Best of luck to them.
      Responder pregunta
      3

      Otras evaluaciones sobre las entrevistas para el cargo de Data Scientist en M Science

      Entrevista para Data Scientist

      12 may 2026
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia neutra
      Entrevista promedio

      Solicitud

      Me postulé a través de un reclutador. El proceso tomó 3 semanas. Acudí a una entrevista en M Science

      Entrevista

      I passed the hr and hiring manager screens but failed at the technical interview round. Hiring manager asked a series of data related questions while technical round need to write the code to manipulate data. And they are using databrick notebook and remote zoom in to do the live coding which I was not expected, as I was told by hr it would be a leetcode style coding test.

      Entrevista para Data Scientist

      12 may 2021
      Empleado anónimo
      New York, NY
      Oferta aceptada
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé en línea. Acudí a una entrevista en M Science (New York, NY) en abr 2021

      Entrevista

      I applied online and the recruiter reached out to me on LinkedIn and we got on a phone call quickly to discuss the role and next steps. Then I was given a 90 min challenge which consisted of a coding test - python and SQL and questions involving excel workbooks/pivot tables. Additional 10 minutes were provided for candidates who had working experience on Tableau. The SQL question were not medium difficulty and python coding problem was similar difficulty. Questions on excel and tableau were simple if one knew about pivot tables. After the test I was asked to speak with two quantitative analysts where they asked about my background and interests. They gave a case study based problem and asked what different metrics I would come up with. The final round was with the head of product and I had a very friendly chat with her followed by an offer. The recruiter coordinated all interviews via linkedin messages. While not conventional, I found it to be pretty efficient to schedule interviews rather than back and forth emails. Before the final round the recruiter pretty much gave me an idea that MScience was interested in hiring me and would offer me the position pretty soon.

      Preguntas de entrevista [1]

      Pregunta 1

      You are given clickstream data. What metrics would you derive from the data that can add valuable insights to media companies?
      Responder pregunta
      2