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Landing an interview for a data scientist role at a top company is a major achievement. But the actual interview process can be grueling with complex technical questions, case studies, and presentations meant to throw off even the most qualified candidates.
After going through my fair share of tough data science interviews, I've compiled my top 7 tips for mastering the data scientist interview process and landing your dream job:
1. Brush up on fundamentals
Solid grasps of core concepts like probability, statistics, linear algebra, and algorithms are must-haves. Revise basics of hypothesis testing, regression, classification, clustering, and more. Be ready to explain technical concepts clearly and concisely.
2. Practice coding fluency
You'll likely have to code on the fly in languages like Python and R during interviews. Work on practice problems and drills to improve coding skills and speed. Know how to clean, explore, visualize, model, and interpret data programmatically.
3. Understand the full data science workflow
Interviewers want to see you comprehend the end-to-end data science lifecycle. Be able to articulate processes for acquiring data…
