Tips to prep for a data science interview
When interviewing for a job, data scientists need to consider how to showcase both their technical acumen and soft skills to potential employers. Data science interview prep should start by considering the target company, the kinds of questions they might ask and how to highlight your appropriate strengths.
The best data scientists build effective models, use appropriate techniques for different kinds of problems and strategize about augmenting data sets. Data scientists must also be excellent communicators with business intuition, have a boardroom presence, and be able to build strong teams to support them.
"It is essential to understand the role and what is expected of data scientists before the interviewing process begins," said Vivek Ravisankar, CEO at HackerRank.
Maintaining clean, extensive data sets is the biggest challenge in many data science projects. Sachin Gupta, CEO of HackerEarth, recommends data scientists review their strengths in four key skills: programming, statistics and probability, machine learning and data analysis. Interviewers will commonly ask questions on these topics, such as the following:
