1. Tell me about yourself. 2. Tell me about a time you had to solve a complex problem. What was your approach? 3. Tell me about a time something you did that was very satisfying for you. What was gratifying for you about that project? 4. Tell me about a time when you helped your team come to a consensus.
Describe a time you solved an engineering problem in one of your work experiences.
Typical questions about financial background, past projects, mostly behavioral.
Describe your strength and weaknesses
1.What was a time you delt with a lot of data and how did you handle it? 2.When was a time you worked in a group setting and had an issue? How did you resolve it, if you did. 3.What is your favorite financial performance metric? Why? 4.Describe said financial performance metric to a person who knows nothing about finance and to a CEO. 5.When was a time you were shocked by the critique you were being given? 6.How do you choose which tasks to prioritize?
First round: What are the assumptions of logistic regression? Why is the logistic regression model considered linear? Online Assessment: 75 min for 5 programming questions, 4 were mathematics and statistics questions, and 1 was a data analysis question. The programming questions consisted of multiple choice choose the R code chunk that produces this given data result. No DSA leetcode style questions were asked. Final Round: – 1st interview - Can you tell me about a time when you had to communicate something complex to layman stakeholders? Can you tell me about a time when you dealt with a conflict in a team? – 2nd interview - Questions about decisions made during feature selection. Questions about handling class imbalance in the models used.
refer to above
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