Topic: Interviewing

Data science and machine learning jobs are amazing! Everyday you solve hard problems using cutting edge technology. But to get a job in data, you first have to pass the grueling interviews. These articles contain my advice on interviewing.

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  The Data Science Spectrum:
  From Analyst to Machine Learning
  Data science has left the era of the Unicorn and entered the era of the team, but that means there is now a whole spectrum of data science jobs. Here is what they do.
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  Data Science Interview Practice: Machine Learning Case Study
  A common interview type for data scientists and machine learning engineers is the ML case study. Read on for an example of how I solve them!
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  Data Science Interview Practice: Data Manipulation
  I often get asked how to practice data science interviews, so here is a practice dataset with a set of questions to answer. Good luck!
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  Data Science Interviews During the 2020 Pandemic
  In the middle of the COVID-19 pandemic, I found myself looking for a data science job for the third time in my life. This post covers what I learned.
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  Interview Question: What Machine Learning Metric to Use
  One of my favorite questions to ask in an interview is "What metric should you use to decide if your model works?". Read on to find out what a good answer looks like!
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  Tech Interviews: Respect Everyone’s Time
  Interviewing is notoriously agonizing for both the candidate and the company! But it could be much better! Here I propose one guiding principle to make it easier on everyone.