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Software developers: Coding interviews are a disaster, and here's why

ZDNet

The technical interviews often used in hiring software engineers are a failure because they only test whether a candidate has performance anxiety, rather than whether they are good at coding. The interviews may also be used to exclude groups or favour specific job candidates, a study from North Carolina State University and Microsoft has found. "Technical interviews are feared and hated in the industry, and it turns out that these interview techniques may also be hurting the industry's ability to find and hire skilled software engineers," said Chris Parnin, an assistant professor of computer science at NC State and co-author of a paper on the work. The study suggests that a lot of well-qualified job candidates are being eliminated because they're not used to working on a whiteboard in front of an audience. Technical interviews for software developers are often based around giving a job candidate a coding problem to solve, then asking the candidate to write out their code on a whiteboard while explaining each step.


What Took Me So Long to Land a Data Scientist Job

#artificialintelligence

The first and foremost problem was to show I actually know stuff. Without prior job experience, it is hard to demonstrate your skills. In most cases, I could not even pass the first step and get a technical interview. I felt like HR professionals did not take my resume into consideration due to lack of job experience in the field. I have got very few technical interviews and I mostly did well.


yangshun/tech-interview-handbook

#artificialintelligence

Carefully curated content to help you ace your next technical interview, with a focus on algorithms. System design questions are in-progress. This handbook is pretty new and help from you in contributing content would be very much appreciated! This repository has practical content that covers all phases of a technical interview, from applying for a job to passing the interviews to offer negotiation. Technically competent candidates might still find the non-technical content helpful as well.


Insider's Guide to Acing Data Science Interviews

#artificialintelligence

You've spent months studying data science, now it's time to find a job in the industry. Fortunately, companies all over the world are looking to hire data scientists -- and fast. According to LinkedIn's 2020 U.S. Emerging Jobs Report, skills related to Machine Learning, Deep Learning, TensorFlow, Python, Natural Language Processing, etc. seen more than 70% annual growth. According to an IBM survey, the openings for data and analytics talent in the US will continue to increase, reaching 133% growth in 2020, and creating more than 700,000 openings. Qualified candidates will have a multitude of vacancies to choose from when ready to seek out a new position in the field.


Most Common Data Science Interview Questions and Answers - KDnuggets

#artificialintelligence

Becoming a data scientist is considered a prestigious trait. Back in 2012, Harvard Business Review called'data scientist' the sexiest job of the 21st century, and the growing trend of roles in the industry seems to be confirming that statement. To confirm this sexiness is still ongoing, the info from Glassdoor shows being a data scientist is the second-best job in America in 2021. To get such a prestigious job, you have to go through rigorous job interviews. Data science questions asked can be very broad and complex. This is expected, considering the role of a data scientist usually incorporates so many areas.