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

      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

      GRAIL

      Empresa activa

      Información
      Opiniones
      Sueldos y beneficios
      Empleos
      Entrevistas
      Entrevistas
      Búsquedas relacionadas: Opiniones sobre GRAIL | Ofertas de empleos en GRAIL | Sueldos en GRAIL | Beneficios en GRAIL
      Entrevistas de GRAILEntrevistas para el puesto de Senior Staff Data Scientist en GRAILEntrevista de GRAIL


      Glassdoor

      • Acerca de
      • Premios
      • Blog
      • Contacto

      Empresas

      • Cuenta gratuita de empresa
      • Centro de empresas

      Información

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

      Trabaja con nosotros

      • Anunciantes
      • Empleo
      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 de primera mano.

      Búsquedas de empleo

      Recibe recomendaciones y actualizaciones personalizadas al iniciar tu búsqueda.

      Entrevista de Senior Staff Data Scientist

      8 ago 2020
      Candidato de entrevista anónimo
      Menlo Park, CA
      Sin oferta
      Experiencia negativa
      Entrevista normal

      Solicitud

      Envié una solicitud electrónica. El proceso duró más de 1 semana. Acudí a una entrevista en GRAIL (Menlo Park, CA) en jul 2020

      Entrevista

      If you have a lot of time to waste or want to Exercise your patient and have no respect for your knowledge and previous experience, congratulation, grail is the company to interview for. I have applied for Staff data scientist position. And I went through three round of interviews, first by hiring manager and second a coding interview including dynamic programming which I easily pass them. Then there was a full interview formed of 4 technical interview and one with recuiter: system engineering, data structure, and machine learning and then a chat with hiring manger. I believe I have responded 100% of machine learning and deep learning questions correclty. I also did 100% in in system engineering. The interviewer asked me an algorithm question and then a follow up question about unit test where I chose python as a language where he was not familiar with that, and made a mistake about overflow which does not happen in python. The worst part was the Algorithm interview where the interviewer asked me to write a code for 3 different tasks in sparse matrices. I chose dictionary in python as the data structure for this task. The interesting part is that I have written a code that provided the correct response and printed the output. The sad fact is that, it took them 7 days to respond me and tell me that they did not move forward with my application mainly because they felt I did not have enough experience in coding. All I know I responded every question completely and with lots of details, and I throughly believe if their process was a fair process I should have been offered the position. I just do not know how they decide about the outcome of interview, I believe the person who asked me the algorithm question was pretty biased toward me since the start of the interview, despite the fact that my code generated the correct answers. The only suggestion I can make for them is to evaluate candidates based on their performance and improve their interview process to have an unbiased and fair decision.

      Preguntas de entrevista [1]

      Pregunta 1

      1- ML and Deep learning questions 2- Sparse matrix implementation 3- unit testing
      1 respuesta

      Las mejores empresas en cuanto a «Remuneración y beneficios» cerca de ti

      avatar
      Sanofi
      4.0★Remuneración y beneficios
      avatar
      Novo Nordisk
      4.1★Remuneración y beneficios
      avatar
      GSK
      3.9★Remuneración y beneficios
      avatar
      Novartis
      4.1★Remuneración y beneficios