Why are you looking to leave your current role
Sr Data Scientist Interview Questions
3,376 sr data scientist interview questions shared by candidates
Case study about failure prediction
HR - General experience questions Hiring Manager - Description of past projects and questions more specific to the gaming industry and data science DS team - Case studies about modelling and technical questions. ML - Code interview and technical questions about ML pipeline and simulation Producers - Business/Customer focused questions
Describe a time you had to balance delivering work quickly with the quality of the deliverable.
- - What got you interest in applying for this position? - What are your main areas of expertise when it comes to data science? Where do you spend most of your time/what is a good breakdown of what you spend your time doing day to day? - After presenting the solution/delivering a model, do you have experience supporting the stakeholders afterwards? - Python, Looker, Snowflake and DBT experience? - Can you describe some of the things you noticed when your scope became senior? What were some of the new responsibilities, or what did you spend some time doing that maybe you didn't at mid-level? - Experience mentoring juniors? - - Main responsibilities in your current position? - How do you decide on what project you were going to work on? - What tools do you use day-to-day? - Experience with data modeling and DBT? - Key considerations to keep in mind when you're transforming data for use? - How do you approach about learning new tables in a database? - Have you worked with data coming from an application? - Have you ever partnered with product managers in the past? - How do you partner with stakeholders to understand business problems? - Project you've worked on that had a positive impact on a company? - How do you maintain a deployed project for ongoing usage?
What similar previous experience I had.
Tell us about one project you worked on.
Tell me a time you had to work with a Project Manager that disagreed with your approach.
What models have you put into production?
typical behavioural HR questions like why you want to join, typical ML questions like how to assess a model, how to perform this SQL query given a few tables etc.
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