Aishwarya Nevrekar
Aishwarya Nevrekar

@nevrekaraishwa2

8 Tweets 4 reads Sep 19, 2022
My friend got his first job as a Data Scientist ๐Ÿคฏ and has a 100 percent salary hike. Yes you read it right and today we will discuss his preparation strategy on how to crack these roles
A thread ๐Ÿงต๐Ÿ‘‡
1. What should I study before the data science job interview?
Topics you may want to focus on include: SQL, machine learning, big data (Hadoop, Spark), probability and statistics, cloud services (AWS, Azure), and programming languages (Python, R).
2. How do you introduce yourself in your data science interview?
Introduce yourself and give a brief overview of your experience.
Note: If someone starts off the interview by saying introduce yourself, it means they didn't even look at your resume till now.๐Ÿคฏ
3. What questions are you asked during the data science interview?
The interviewer will also likely ask questions that test your ability to solve problems.
4. How do I prepare for the technical round of interviews?
To prepare for the technical round, make sure you are comfortable with the basics of data analysis and machine learning. You should also be familiar with common algorithms and libraries used in data science
5. Research the Company
Start off by spending some time looking at the job description. Did they mention any specific libraries there on purpose, or was it more of a generic job description that anyone could've made up?
6. Study Your Resume
Now that you know how they plan on using your data scientist skillset and have already gotten a solid idea of what sort of data scientist interview questions you'll be asked, go ahead and spend some time studying your own resume as well.
He was able to prepare for his interview because of @BowTied_Raptor
If you're just starting your Data Science journey or you're stuck, check out his blog: bowtiedraptor.substack.com.
It contains detailed articles, resources, and material to make your journey smooth.

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