Questions from deep learning and machine learning fundamentals.
Lead Data Scientist Interviews
Lead Data Scientist Interview Questions
"As a lead data scientist, you will be responsible for developing creative and effective improvements to a company's product by analyzing data from consumers, websites, sales, and many other sources. During an interview, expect to be given many case studies about what information you can draw from a particular set of data as well as to be tested on your general statistical and computer science knowledge. A background in computer science, statistics, or another related field is required. "
398 lead data scientist interview questions shared by candidates
Asked to walk through a piece of code that I had written for a previous project.
Asked high level questions about past projects and career objectives
ML/NLp/GenAI/Mlops system design in each technical interview
- Presentation of a ML problem in the industry - Present a solution to a case study of how you would use AI/ML to solve a problem in the chemical industry
I was asked questions about my project. What I liked about this approach is that I was not being tested for specific knowledge that I may or may not have acquired, but rather for how I approach things and my ability to work with the team. It was very useful for me to get an idea of how it would be to work at Clarity AI.
About the projects you have worked
Describe the key steps for building a two-class predictive model, from initial problem definition, to the release of the model. For each step describe possible challenges or mistakes that may happen at that stage and how it may impact the final outcome
Question regarding RAG pipeline, Agent framework, DSA and system design
Classical ML - what is homoscedasticity? What is regularization Difference between Standardization and Normalization Linear regression and any 5 evaluation metrics Machine Learning pipeline
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