In un colloquio per Data scientist, ti verranno poste domande volte a verificare le tue capacità di data modeling, risoluzione di problemi e programmazione. Preparati a rispondere a domande di carattere generale che valutano la tua conoscenza della statistica e della scienza dei dati. Dovresti inoltre prepararti a rispondere a domande aperte mirate a testare la tua creatività, le tue doti comunicative e la tua formazione nella programmazione e modellazione dei dati.
- 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:
Viewing 1141 - 1150 interview questions