It is quite an evident fact that "data scientist" as a career opportunity is the most sought after. With the world relying on data like never before, the demand for this profession is at an all-time high. So, if you are one of those gearing up to step into this profession, you already know what is expected out of you as a candidate. When preparing for the interview process, one area that seems to be stand out from the rest is that of "business case interviews". Here's everything you need to know about this so that you have an edge over the rest.
In most cases, it is observed that the case type of questions are related to –
Don't straight away jump to what you think about the case presented. Start by asking questions so that you get a better clarity about the same. Also, a point worth noting is that there's no right or wrong answer to the questions asked – what the interviewer checks is your "approach" in handling situations.
Now is the time to understand each of the categories in detail i.e. how to answer the questions pertaining to the categories mentioned above?
1. Launching new products / services – Needless to say, the agenda here is to test a product idea or whether to launch a product / feature. This is the most challenging of all the business cases as it requires an in-depth knowledge to present the facts and figures.
2. Diagnosing a problem –Here, you'll be presented with a case that require you to diagnose a problem. The interviewer will look at how systematic your approach Data scientists have to deal with this aspect every now and then, hence the importance. The following points come in handy –
3. Improving the current products / services – This too requires good knowledge about the product or service that you are asked your views on. As a data scientist, you should be able to understand what areas need improvement to grow the business.
4. Measuring success– This is where the upcoming data scientists are asked to measure the success of a feature or a product. This is probably the best way to evaluate the candidate's capability of defining success metrics. The best way to deal with such business cases is to provide a maximum of 3 metrics, including 2 success metrics and one guardrail metric.
In the end, what matters is that you keep the whole interview process engaging so that the interviewer doesn't lose interest. Clearing this stage is one of the most critical ones in the whole data scientist interview process.
Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp
_____________
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.