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      Entrevista para Data Scientist

      29 de fev. de 2024
      Candidato(a) sigiloso(a) à entrevista
      Bath, Inglaterra
      Nenhuma oferta
      Experiência negativa
      Entrevista difícil

      Candidatura

      Candidatei-me por meio de recrutador(a). O processo levou 4 semanas. Fui entrevistado pela Edit (Bath, Inglaterra) em out. de 2023

      Entrevista

      Teams interview with director of data science to discuss background and current CV, Second interview followed with an 8 question worksheet, where the answers had to be presented as a 30-45 minute presentation to team members talking through my answers and workings. The questions were both mathematical and code based. Following this I was ghosted and received no response in any direction.

      Perguntas de entrevista [8]

      Pergunta 1

      Dangerous fires are uncommon – 0.5%. Smoke is fairly common – 15%, and 90% of dangerous fires make smoke. What % of occasions smoke means dangerous fire? Please briefly explain your answer.
      Responder à pergunta

      Pergunta 2

      What is average stocked product value based on the below information: Product Quantity Value A 50 100 B 100 200 C 10 500
      Responder à pergunta

      Pergunta 3

      X is normally distributed random variable with mean of 3 and standard deviation of 2. Find the value of m such that (P >= m) = 0.95
      Responder à pergunta

      Pergunta 4

      You have trained an initial model to predict the propensity for charity supporters to leave a donation to charity in their will. Validation has shown that the model achieves 98% accuracy. Is this performance acceptable? Why or why not? If not, what steps could be taken to improve model performance?
      Responder à pergunta

      Pergunta 5

      Last year, your business conducted segmentation on their customers using first- and third-party data. Some of the third-party variables are no longer available. What approach(es) could we take to be able to continue using the solution?
      Responder à pergunta

      Pergunta 6

      We have provided two data tables, containing Supporter data and their donations to a charity. Using a language of your choice (e.g. R, Python, SQL) and the .csv files provided, write the code to create an example dataset that could be used as a starting point to train a model to predict a supporter’s propensity of giving a 2nd donation. You are not expected to complete extensive data exploration or cleaning.
      Responder à pergunta

      Pergunta 7

      For each piece of analysis work described below, specify the most appropriate statistical analysis or machine learning technique. Some items have more than one (equally) appropriate technique – please choose one to specify in your answer. Please include a brief description of any assumptions or limitations to your given answer. a) Predicting how much (individual) customers will spend in the next financial year. b) Modelling a time series of monthly sales data c) Identifying the key dimensions within a large number of variables relating to customer attitudes. d) Carrying out a segmentation to identify groups of customers with similar attitudes
      Responder à pergunta

      Pergunta 8

      You have been asked to generate a probability of customer being ‘”at risk of churn”. The client has provided data on 800,000 customers and their transactions. Outline the steps required as part of an end-to-end plan to identify “at-risk” customers, including approaches, considerations, limitations/risks, and further recommendations/next steps where appropriate.
      Responder à pergunta