Data Science Job Interview – Full Mock Interview

Experience a comprehensive mock data science job interview that simulates a real-world scenario. Gain valuable insights into the interview process for data-focused roles and deepen your understanding of machine learning concepts. Follow along as the interviewee tackles questions on building datasets, feature vectorization, and model implementation details. Pause after each question to formulate your own responses and compare them with the interviewee's answers. Topics covered include addressing bot issues on social media platforms, investigating relevant features, implementing classification models, creating training datasets, and discussing technical implementation details. Conclude with a post-interview breakdown and analysis to enhance your interview preparation skills.

⌨️ Video overview & format
⌨️ Introductory Behavioral questions
⌨️ Social media platform bot issue task overview
⌨️ What are some features we should investigate regarding the bot issue?
⌨️ Classification model implementation details using feature vectors
⌨️ What would a dataset to train models to detect bots look like? How would you approach collecting this data?
⌨️ Technical implementation details python libraries, cloud services, etc
⌨️ Any questions for me?
⌨️ Post-interview breakdown & analysis