Post by prisilai on Feb 12, 2024 5:20:02 GMT
Athe top of their head thats when you know youve struck real gold. Bottom line Do your research learn the big names pick some favorites. FYI theres no wrong answer as long as youre staying uptodate on industry trends . Give me an example of how youve used your data analysis to change behavior. What was the impact and what would you do differently in retrospect This question comes from Melanie Tantingco RVP of People Ops at Sisenseopens in a new tab an analytics platform for businesses and data scientists. Most people use data to assess decisionsI ask for data to make better ones and change an approach moving forward says Tantingco.
I also like to see if our interviewees are reflective and want to be Cayman Islands Email List better and improve. Bottom line Theres always room for improvement. Youre not perfect neither is your work so dont be afraid to focus on how you could do even better next time. Why are you using that algorithm As you walk through your process Susan Shu Changopens in a new tab a data scientist at Bell says you should expect Why questions like this. I usually ask these in response to what the candidate may have mentioned as an answer in the data science case study.
They need to justify it and show they know the pros and cons and arent just suggesting it because it sounds cool. Bottom line There are lots of choices when it comes to how you approach a problemyou need to show you can think critically about the one you choose to use. . Why should the business care Another one from Chang which she admits is a curveball focuses on whether ou understand the bigger picture. Optimizing a website with machine learning might be great but a good answer isnt because everyone else is doing it says Chang. It could be something like to save costs from support calls due to the website being better.
I also like to see if our interviewees are reflective and want to be Cayman Islands Email List better and improve. Bottom line Theres always room for improvement. Youre not perfect neither is your work so dont be afraid to focus on how you could do even better next time. Why are you using that algorithm As you walk through your process Susan Shu Changopens in a new tab a data scientist at Bell says you should expect Why questions like this. I usually ask these in response to what the candidate may have mentioned as an answer in the data science case study.
They need to justify it and show they know the pros and cons and arent just suggesting it because it sounds cool. Bottom line There are lots of choices when it comes to how you approach a problemyou need to show you can think critically about the one you choose to use. . Why should the business care Another one from Chang which she admits is a curveball focuses on whether ou understand the bigger picture. Optimizing a website with machine learning might be great but a good answer isnt because everyone else is doing it says Chang. It could be something like to save costs from support calls due to the website being better.