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Hey All!
I have a phone interview for a data scientist role at snowflake comming up. Any advice on how to prep?
The email indicates that the call will cover my experience, motivations, and understanding of Snowflake.
Curious if other have gone through the process and have insights to share. Or if anyone at snowflake can shed light on how I can be effective.
Snowflake Inc.
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1. Tuned out the noise. I trust my ability to land a good role no matter what and anytime someone told me the market is rough, I’d acknowledge it and let it go.
2. Followed a daily schedule of 2 cases in the morning and 1-2 cases in the evening. I’d review cases I wasn’t happy about and redo them.
3. Either practice by myself by recording myself or with 1-2 friends who were good at cases. Practicing with strangers became a frustrating experience.
4. Found good videos on YouTube of answers to certain questions and use them as guidelines but tuned my answers.
I’d start this about 6 weeks before I was ready to interview and I’d follow this schedule to a t.
In my previous experience what worked was
Read/watch a crapload of case answers, study frameworks, and then pray.
But there must be a better structured way. I hope that we can all learn from success stories and how you generally approach interview prep effectively.
Write down your own interview answers ahead. Your accomplishments, challenges, work around, strategy... So that you have anecdote for each question to deep dive.
I’m in the same boat! I like your positivity! If you need a referral DM me
best resource I've come across for Meta and Amazon (those are companies I have experience with), is product alliance's flagship interview courses.
I'll be real. Take them as seriously as possible and mock like it's the real thing, and don't be so tense. You'll be fine
brush up on as many different types of case studies applying frameworks as necessary until you live and breathe product speak. the initial few interviews might be more practice sessions where things may not work out, but think of it as A/B testing to figure out what works.