Tell me a time that you sacrificed something small for something bigger.
Data Science Manager Interview Questions
331 data science manager interview questions shared by candidates
Monty Hall scenario with 100 options rather than 3 doors, once you see one you can’t go back. First level was set a threshold where you didn't need the max. Second level was now you want the max so use chance and odds probability rather than statistics reasoning. Be careful. Interviewer did not have subject matter expertise. Feedback was that keeping her taught/mentored during the process and comfortable was more important that solving the problem well.
Did not really ask questions in the rushed conversation I had
For me it was behavioral. I did not prepare for that as well I should have.
Basic from data science and analysis, One must be prepared for guess estimation questions and logical reasoning
Falar sobre si (e.g., histórico acadêmico/profissional, objetivos, o que gosta de fazer nas horas livres)
Data science delivery and consulting
Python question: Provide pseudocode for how to read and concatenate datasets from multiple CSV files in a directory.
1. Your train/test event rate is 10% but oot test data event rate is 5%. Why did you build the model when with 1:10 event rate without checking the real time data for the next 6 months, which is 5%? - I have 14 years of exp including 8 years of consulting. This is the worst interview question I ever had. 2. This question was asked 3 times. You are building a prospect model to target clients for house refinances, at what stage are you building the model? Underwriting, funding? - It was a surprise to receive such questions in interview. I told them that we are identifying the prospects for marketing before even they reach out/start refinancing but they kept asking me the same questions. Looks like they just want to prove they know couple of things about mortgage industry but it was stupid. 3. I mentioned about a summarization project build on llama2 for my finance company built using call transcripts. Interviewer accused me of lying as he thinks I can't build model because ppl discuss ssn numbers and the details about other companies. Seriously? You are in a senior position and you don't know what's synthetic data or how customer data is redacted internally etc? 3. They are super rude from the start during the project review. I lost interest after 15 minutes as they are constants demeaning my current company and the projects we do when they don't even understand the basics of DS.
Roles and responsibilities performed by you
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