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General questions: Tell me about yourself; Why consulting? Why L.E.K.? 1) Market sizing question on medical equipment and consumables. Details and numbers were provided on Power Point slides. Graphs were not difficult. Asked to calculate percentages. You need to pay attention at the graphs’ axes. 2) The client has in its early development cannabis patches to treat pain. At the same time, it sales opioid medication. Should it continue with the development of the patches?
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Life Sciences Associate

Interviewed at L.E.K. Consulting

3.7★
Dec 21, 2018

General questions: Tell me about yourself; Why consulting? Why L.E.K.? 1) Market sizing question on medical equipment and consumables. Details and numbers were provided on Power Point slides. Graphs were not difficult. Asked to calculate percentages. You need to pay attention at the graphs’ axes. 2) The client has in its early development cannabis patches to treat pain. At the same time, it sales opioid medication. Should it continue with the development of the patches?

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.
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Data Science Manager

Interviewed at Blend360

4.1★
Sep 25, 2024

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.

1. Tell me about the hardest project you worked on. What did you learn? 2. What are some data quality issues? How do we resolve them? 3. Resume walkthrough. 4. What would you do if your model quality drops after 4 months of deploying?
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Data Science Consultant

Interviewed at Blend360

4.1★
Oct 18, 2021

1. Tell me about the hardest project you worked on. What did you learn? 2. What are some data quality issues? How do we resolve them? 3. Resume walkthrough. 4. What would you do if your model quality drops after 4 months of deploying?

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