Spotify Data Scientist Business Case Interview

[@luckytraderchow]

This interviewee really has a lot of knowledge in product and business development, however, he did not get Jay's hint to quantify those impacts 😂 My approach: 1. let it run some time for a small portion of people to see if some key metrics change (ie. spent hours as key indicator for retention measurement) 2. a/b test, and select some key metrics as comparisons, it provides more accurate results. Not sure if I am on the right track?

[@edj9y]

I think the one place where this may fall short is that Jay specifically talked about the fact that they don't have a podcast portion of their platform, and would need to allocate many engineers for a good portion of time to build it out. Maybe the answer then is just add a Step 0 on your approach and build a lightweight podcast interface?

[@libravarun]

I am yet to see a company where a data scientist is doing this. This is a classic product manager case…

[@iqjayfeng]

PMs are sometimes hired under the guise of “data scientist”

[@annxiao7721]

Sounds like the FB model

[@xiaobozhao3380]

amazing content, please post more!

[@sandrahu7122]

Can the interviewer summarize the ideal answer at the end. Honestly speaking, the whole dialogue is not organized. The logic is random. I think you can answer the question by some assumptions

[@andreaabeliano4482]

Where is the data science in the answer? Personally I would have tried to come up with ideas to estimate cross-selling from current subscribers to podcast propositions. Using somehow the customer data available plus some external data possibly (similar interest/etc...). Or design a marketing survey on current customers, giving an idea how much data would be needed to infer something on the whole customer population.

[@iqjayfeng]

It's a data-driven answer which works for most data science positions

[@milovacdesign]

He would have failed if this was an actual interview.

[@solutions-ai]

Is this even a data science interview ?

[@user-random-name-15011B]

I feel this is more like an awesome product job interview, but ds product interview. However it provides a different perspective for me as a DS, thanks!