Basic Questions around my CV
Data Science Manager Interview Questions
330 data science manager interview questions shared by candidates
How do you build relationships and maintain them with stakeholders during a challenging project delivery?
Do you like working alone or in groups? They asked this as part of a manager interview, which was odd.
Case study that includes a banking use case. Create a model and submit a presentation that is focused on the end-user of the work.
Typical STAR questions on management and past project-related technical questions
Round 1 - Let’s see the first round interview consisted of two people from the company (one of whom was the cofounder) and myself. They asked about my resume and background. They also gave a brief technical assessment, so three quick python questions as well as an analytics brainteaser. These assessments took up maybe 15-20min of the interview. The rest of the time was spent on discussing my background and answering questions I had about the company and the role. The interview was scheduled for 45min, but they were willing to go quite a bit over that time to address all of my questions. Round 2 - This is a take-home question with a presentation you put together on it. The question was apparently a simplified version of one of the projects they work on. In round 1, the interviewer told me that an interview is a two-way street. They like giving this question because it gives the candidate the chance to see the type of work they might do if they got the job in addition to gauging your presentation skills and to see how you think about a problem if you have time to think about it first. There were a lot of questions gauging my depth of thinking on certain parts of the problem- things like ‘I see you simplified things there, what would you do if you had more time?’ Round 3 - This was a series of google hangouts. I was applying during the pandemic, so I imagine in other times, it would have been in-person interviews to meet the team. There were 4 30-45 minute interviews/meetings here. One was a general analytics interview looking at some data in google sheets. The second was basically a discussion on my resume, so I guess you’d call that a behavioral interview. The third was a collaborative session where I was asked to work with a senior data scientist on the team to solve a problem. I would basically instruct him on what to code and he’d code it. And finally, I met with the dept head to talk more about the role and answer any questions I had. Each interview was with different people, 1-2 people from the company on each of the calls.
Given an example ML project, how would you build it from end to end?
I did ask the recruiter before she sets up another second round of screening! about the breakdown of the role and the size of the DS team and the interview process.
Have you worked with time series models before? If so, please elaborate.
tell us about why you are best fit for this role
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