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Expedia hirevue video interview software#

Classical Regression algorithms: linear regression, LASSO, random forest, feed forward neural networks, XGboost.

Classical classification algorithms, such as SVM, logistic regression, decision trees, random forest, XGboost.

Books like “The Elements of Statistical Learning”, and “Pattern Recognition and Machine Learning” are useful for these topics. So if you are applying for a data science position, make sure you have a good understanding of the following machine learning concepts.

General Machine Learning (and Deep Learning) KnowledgeĪlthough data science jobs in different companies may refer to a wide range of problems and skills (including data extraction and pre-processing, running SQL queries, simple data analytics, to deep learning, NLP, and computer vision), machine learning is a fundamental concept which is expected from “Data Science candidates” by most of the top companies these days. If your experience with these languages has been very limited, it is better to be honest and tell the interviewer about that, and I am sure most interviewers would not judge you for the things which you haven’t had enough experience with. I have seen many candidates mentioning Scala/Python on their resume, but when I asked them a simple question about those languages they have no idea about it, and that will give me a negative signal. Or if you mention Python or Scala as your favorite programming language, make sure you know the details of these languages (at least to the extent needed for data science positions), as well as a few machine learning related libraries in each.

So if you did some collaboration on a project but did very little contribution to the work, I’d suggest to get yourself more familiar with the technical aspects of that project. Getting general questions like “tell me more about yourself and your background”, or “tell me about your work at your current company” is very common, but you will also get more detailed questions about your resume.įor example, if you mention several previous projects related to NLP in your resume, you are expected to have a good understanding of NLP topics and there is a good chance that you will get a few technical questions on NLP to assess your technical depth on that. So make sure you have enough familiarity with anything you mention in your resume, from courses and research projects to programming languages. Your resume plays a crucial role in the kind of questions you will be asked during your interview.

Questions About Your Resume and Previous Works Management and Leadership Skills (depending on the position level)ġ.System Design Skills (depending on the position level).Computer Vision, NLP and Pricing Topics.

Expedia hirevue video interview software#

Programming and Software Engineering Skills.

General Machine Learning (and Deep Learning) Knowledge.

Questions About Your Resume and Previous Works.

Depending on the company and the position level, you may get questions from one or more than one of the following items, so you may want to improve your background on these: So in this post, by “Data Science” I am referring to all of the above titles.Īlthough each person has his/her own unique set of skills that can be useful for some problems, there is a set of essential skills expected from data science candidates by most companies, which I will group into the following categories and then talk about in more detail. Although in some companies these positions refer to slightly different tasks/skills, for most companies these three titles more or less refer to the same thing. Interviewing candidates helped me to meet people with a wide range of background and skills, from CS/ECE, Stats/Math to Civil/Mechanical engineering, and I got a chance to talk to several brilliant people out there.īefore I get into more details, I want to mention that in recent years there are fancier names invented for “Data Scientist”, such as “Machine Learning Scientist” and “Applied Scientist”. Courtesy of During the past year, I interviewed many people for data science positions at Expedia Group, from entry level to senior, some master/PhD grad and some from other companies (such as Microsoft, Amazon, Spotify, Twitter) and thought to share my experience here in case it can be useful for people applying for data science positions, and give you guys some tips on the kind of questions you may get.