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Without going into detail, they wanted both Python code for transforming raw data into data in some form from which one could make predictions, as well as a written description of what was done, why, and the modeling approach one would take.
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Data Scientist

Interviewed at DICK'S Sporting Goods

3.8★
Feb 18, 2022

Without going into detail, they wanted both Python code for transforming raw data into data in some form from which one could make predictions, as well as a written description of what was done, why, and the modeling approach one would take.

(The only numerical question requiring Excel/Calculator) Finally, gave me a probability based, expected default rate question. The exact question was that the company has to calculate the expected default rate given the minimum return they look for is 15% over lease value. The given lease value was $1000, and the scaling factor (lease cost) was 60% of lease value. Another cost, the cost of service that the company bears is $50, which is taken from customer while making the deal. Now, to simplify there were only 2 possible outcomes mentioned which is full payment over 12 months or default before the payments start.
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Data Scientist

Interviewed at Progressive Leasing

3.6★
Jan 27, 2025

(The only numerical question requiring Excel/Calculator) Finally, gave me a probability based, expected default rate question. The exact question was that the company has to calculate the expected default rate given the minimum return they look for is 15% over lease value. The given lease value was $1000, and the scaling factor (lease cost) was 60% of lease value. Another cost, the cost of service that the company bears is $50, which is taken from customer while making the deal. Now, to simplify there were only 2 possible outcomes mentioned which is full payment over 12 months or default before the payments start.

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