Interview for Data Scientist?

Can you list down the companies you have interviewed at for Data Scientist/ML roles and tell us whether DSA was asked? I'll start: Paypal, Visa, Truecaller, Navi - No DSA (had multiple rounds) Paytm, Coinbase - No DSA(Rejected after one round) Walmart- Asked DSA, but it didn't carry much weight Zeta, Microsoft - Asked DSA

Hi Guys, I am attending an interview process for Lead Data Science. I want to know the previous experiences with to improvise my interview experience. The company having 5 rounds and each round is an elimination (the scary part). First round is DSA and Data Science fundamental. Where I have learnt DSA 5years ago and now I’m out of practice. For Data Science it might be more like ML (I assume). Second round is System Design, which will be more on designing system and scalability Third round is more off Technical And Managerial around. 4th round is managerial round 5th round is HR discussion I want to know where to prepare for all the rounds and what’s the efficient way to prepare for it.

I came across a company’s interview process. Here’s my experience. They are hiring for Lead Data Scientist. As I asked the process they mentioned have a 5 step process. 1. DSA and Data Science Fundamentals 2. System Design 3. Data Science & LLM Round 4. Managerial Round 5. HR round Why is DSA required for this role? Also what kind of questions you came across? And what is your experience? Note: Don’t ask for Company Name

I am trying to switch to a Data engineering role in a product based company. Please suggest some great practices and strategies to learn DSA with python and SQL to crack interviews at product based companies. I have experience working in AWS data orchestration where I worked on step function creation, Glue, lambda, event bridge. Also used version control like GitHub. Please suggest a way to crack interviews at product based companies for data engineering roles.

What sort of questions are asked in big4 for a data scientist role with 3.5 years of experience?

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that. Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI. Look forward to all questions :)

How are most of the data scientist or mle interviews at faangmula/big tech/unicorns like? Is it leetcode cosing style or SQL or ml algos or stats or python based questions?

DSA round for data scientists/ Machine Learning roles?

Hey Folks, Since I come from software engineering background so looking for some help from you all. One of my friend has about 6yr of experience working as Senior DataScientist and he is pretty good at the work. I see him continuously brushing up with almost latest things happening in ML space. He is now looking for job switch but struggling to get interview call and not able to clear rounds for scheduled interviews. Something is going off in his case, dont know what. I really want to help him so Pls help me with this question - 1. What are the companies hiring for DS2 or Senior DS role for now? 2. What is the expectation from a Data Science candidate in the interviews? 3. What are the popular interview questions that are being asked these days? 4. If possible please share your recent interview questions. This would be really helpful to all other folks as well who are preparing and are in the same route

Hello folks, Pls comment on the priority order of tech stack that needs to be prepared and also give the glimpse of the important topics that need to be more focused in that.