Lors d’un entretien pour le poste de data scientist, les employeurs vont poser des questions leur permettant d’évaluer vos compétences en modélisation des données, résolution des problèmes et programmation. Soyez préparé à répondre à des questions générales testant vos connaissances en statistiques et en science des données. Vous devez également être prêt à répondre à des questions ouvertes permettant de tester votre créativité, vos compétences en communication et votre éducation formelle en modélisation des données et en programmation.
- Describe the most recent project - What is your scientific achievement - How to see if there was a contaminant in qPCR - questions about cfDNA: how to detect, how to identify mutations - technical questions about failed sequencing run: why cluster would fail - Come up with a new innovative technology that does not exist - Which direction sequencing technologies should move - statistics questions (pvalue, etc) - how to automate a process - describe a conflict, how did you sort it?
Describe how thermogravimetric analysis is conducted.
Do you have experience with RNA expression profiles?
Some questions on SQL and two IQ questions
Relaxed and conversational, a few brief technical queries (I assume to verify I actually had experience with the required technical skills).
I'm not going to answer this in specific. Be prepared to answer lots of experimental design questions. How you would direct new features, test changes to a product, what types of data to collect, etc.
we want to add a new feature to our product. how do you use A/B testing to make a decision?
1.Basics of stats, Machine learning and deep learning. 2.Majority of the question are from your latest 2 projects. 3. coding in python and sql.
What kind of packages do you use for machine learning
To find the second highest salary from a table of salaries, you can use a SQL query like this:
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