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      Entretien pour Senior Data Science Manager

      14 oct. 2022
      Candidat à l'entretien anonyme
      New York, NY

      Autres retours d’entretien d’embauche pour un poste comme Senior Data Science Manager chez Spring Health

      Entretien pour Senior Data Science Manager

      11 nov. 2022
      Candidat à l'entretien anonyme
      New York, NY
      Aucune offre
      Aucune offre
      Expérience neutre
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris plus d'une semaine. J'ai passé un entretien chez Spring Health (New York, NY)

      Entretien

      Had HR screen followed by a technical round. Strange thing is, technical round went really well and I answered all the questions correctly. Both interviewer and I could see that I was a really good fit for the role. It was that obvious. Yet, did not get called for further rounds. Obviously, there was no feedback. I think it could be because of two reasons: 1) The person conducting the technical round is also a Sr Data Science Manager and I believe that person is eliminating all the strong candidates so that she does not have competition within the company. 2) Spring Health is not really hiring but they are trying to find answers for tough data science problems. So, they are using interviews as an excuse to get that information from external candidates.

      Questions d'entretien [1]

      Question 1

      Build data model Write Sql query Behavioral questions
      Répondre à cette question
      6
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Spring Health (New York, NY) en oct. 2022

      Entretien

      First interview with the recruiter discuss past experience and job functions. Following by a technical screen that is a combined of SQL question and product design questions. Then I get a very confusing "loop" with some schedule multiple interview at once. Hiring manager , then the ML team members then stakeholders. The process was a bit disorganized to having full panel scheduled before the hiring manager even assess your skills and profiles. The process is also very heavily top loaded and ask candidate to make multiple time commitments on interviews. The ML session is a bit disappointing of following other big tech's template and not sure if my interviewer have the full answer and how does the question gives full evaluation on whether a candidate can perform well with Spring Health. The recruiting team work very professionally and get response quickly. But the hiring team lack of clear vision on their product goals and roadmap forward.

      Questions d'entretien [1]

      Question 1

      SQL joins, ranking and window functions, Improve Google, with all feature can allocate, search, review, map, and get restaurants ranking recommendations. Typical behavior questions.
      Répondre à cette question
      1

      Entretien pour Senior Data Science Manager

      1 déc. 2022
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience négative
      Entretien facile

      Candidature

      J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Spring Health en oct. 2022

      Entretien

      The process is 4.5 - 5 hours: 1. Recruiter 2. SQL / "data model" plus "tell me about a project" 3. Machine learning case plus "tell me about a project" 4. Hiring manager 5. Product manager partner 6. They also allege you meet the CPO or other founder but I didn't get to this round. I liked most of the people I met but I felt disrespected by some of them. (Btw I'm a woman of color and the team was not diverse.) During my ML case, one of the interviewers: 1. was clearly on Slack at the same time 2. said point-blank that I lied about my accomplishments when in fact he just didn't understand the causal ML model I was explaining (and did not give me the benefit of the doubt by asking clarifying questions). While I was a little over-caffeinated and could have explained more clearly, I was put off by his unfounded rudeness. Both of these interviewers were less experienced than me by 3-5 years and had never worked in production ML (I have) and yet were acting like they knew ML better than me. They were nice enough to call back to say they weren't moving forward, but said it was company policy to not give feedback. Then they lied to me - they said they wanted to consider me for future roles and asked me to please reach out, but reposted the job listing 2 weeks later! Finally, I thought the interview questions were silly and not optimized for minimizing False Positives or False Negatives. Instead of asking about the problem space of mental health, which would give them a chance to see a candidate's thought process, they asked softballs about restaurants. They also spent 5+ minutes of a few interviews talking about weekend plans but then were super rushed during the technicals! Overall, I believe they are likely recruiting based on 1. personality 2. healthcare experience 3. your tolerance for working a 60 hr week doing borderline-menial tasks. I got the strong impression from the interviewers that the company is a mess w/ "constantly changing priorities" and 100 sales and accounts people asking "data scientists" to pull numbers all the time. This is clear from the company reviews too. The one interviewer was probably on Slack during the interview because he was under the gun. Because Spring is not a B2C company but rather "B2B2C" you can tell they don't care about making a good impression with actual consumers.

      Questions d'entretien [1]

      Question 1

      SQL: Design a data model for a Yelp-like restaurant review website. Then easy SQL question w/ joins. Machine learning: Design an ML system to identify "trending" or "hot and new" restaurants
      Répondre à cette question
      1