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      Búsquedas relacionadas: Evaluaciones de Credit Karma | Empleos en Credit Karma | Sueldos en Credit Karma | Prestaciones en Credit Karma
      Entrevistas en Credit KarmaEntrevistas para el cargo de Data Scientist en Credit KarmaEntrevista en Credit Karma


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      Entrevista para Data Scientist

      6 dic 2025
      Candidato de entrevista anónimo
      Oakland, CA
      Sin ofertas
      Experiencia negativa
      Entrevista promedio

      Solicitud

      El proceso tomó 3 meses. Acudí a una entrevista en Credit Karma (Oakland, CA)

      Entrevista

      The position was for a senior DS role. Overall Process: Recruiter => Hiring Manager => Leet Coding & Basic ML => Onsite Technical [Two Rounds: 1) Recommendation Systems; 2) General ML Recommendation Systems & System Design] **Pros**: Interviewers were respectful, patient, and would listen carefully to your responses. **Cons**: [I]. Poor Communications and Scheduling: At every round, it was not clear what next steps are, what to expect in every round, and what to study. I had to send multiple follow up emails to extract answers to the above. Specially, what would be covered, or even when my interviews would happen. Multiple times rescheduling had to happen due to delayed responses. Also, having ~5-6 people from HR involved in most email threads added to the confusion. [II]. Received an automated rejection email after ~3 months and 5 rounds of interviews. Frustrating... [III]. During one of the onsite (held virtually) interview rounds, the interviewer was on-call and had to respond to urgent slack messages (w/ camera turning on/off a few times). While the interviewer had warned me at the beginning, nevertheless, it was a confusing setup which distracted me from focusing on solving the problem properly.

      Preguntas de entrevista [1]

      Pregunta 1

      Leetcode: Dynamic Programming ML Basics, kNN vs ANN (why each, when to use each...) Depth and breadth knowledge in recommendation systems. Flexible by design and dependent on your answers, e.g. two tower models, benefits of different embeddings (when/why to use each), constructing the loss/cost function when training the models, know when/where/how it ties to business metrics & needs.
      Responder pregunta

      Otras evaluaciones sobre las entrevistas para el cargo de Data Scientist en Credit Karma

      Entrevista para Data Scientist

      22 mar 2025
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia negativa
      Entrevista promedio

      Solicitud

      Me postulé en línea. Acudí a una entrevista en Credit Karma

      Entrevista

      After 5 stages of interview, got ghosted by recruiter. He promised to call back multiple times over a course of few weeks, but never did. Everytime I provided a date and time, and he never called. It was very weird, but also just disrespectful and rude.

      Preguntas de entrevista [1]

      Pregunta 1

      Some SQL and leetcode medium question in the tech screen.
      Responder pregunta

      Entrevista para Data Scientist

      13 oct 2020
      Candidato de entrevista anónimo
      San Francisco, CA
      Sin ofertas
      Experiencia neutra
      Entrevista promedio

      Solicitud

      Me postulé a través de una recomendación de un empleado. El proceso tomó 4 semanas. Acudí a una entrevista en Credit Karma (San Francisco, CA) en sep 2018

      Entrevista

      I applied online and was also recommended by an alumni working there, in a different department. They sent me an email for a first HR round, which went well. They asked only basic questions about myself, my studies, my projects and my expectations for a first job Then, a week later, I had a technical interview with a Machine Learning engineer. He asked theoretical questions about Deep Learning, that were not specific but without giving too many clues on the right direction to answer. It felt like he learned by heart some notions before the interview and could not explain thoroughly what the question was. I also had a coding question, on an online IDE. The question was basic but tabulations and coding shortcuts did not work on this website

      Preguntas de entrevista [1]

      Pregunta 1

      Could you explain how, in your mind, do the functions of Data Scientist and Machine Learning Engineer differ ?
      3 respuestas