Given a dataset of 600,000 credit card transactions, build a fraud detection model.
Associate Data Scientist Interview Questions
500 associate data scientist interview questions shared by candidates
Technical: interview with hiring manager about technical stuff. casual talk about your experiences and your resume. and then some fit questions about what do you like and why. then some behavioral questions about how do you handle certain situations. then some questions about a mini study. how do you approach a certain scenario and why and answering some basic questions.
What are AUC and ROC?
Swap two numbers without using third variable Fibonacci series using slicing method in Python Difference between overfitting and underfitting
Identify differentially expressed genes from a sequencing dataset Provide genomic coordinate ranges for certain exons Investigate coverage bias
Name some of the R packages you've worked with.
Use case related question to Building a model for one of our clients, that detects body parts of car.
You're going to open up a coffee shop that produces nothing but cups of coffee. It will cost you $10,000 to set up the shop. It will then cost you $1 per cup to brew coffee, which includes operational costs for your shop. You will sell your cups of coffee for $1.50 per cup. and you can assume that every cup you brew will be sold. Ignoring the time-value of money, how many cups will you have to sell to break even?
Similar to LEETCODE 1135 but harder. Had two dozen test cases this question
Most HR interviews are basic behavioral questions but the technical interviews were heavily focused on statistic question such as predicting sales and linear regression.
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