Data Science Admissions Process

Technical Interview

The main skill assessed in our 90 minute technical interview is your ability to use Python to express your reasoning in probability/statistics. Using a collaborative code editor, you’ll work through solving a series of problems using Python while an interviewer observes your work. Prior to this interview, you should be familiar with dictionaries, lists, control flow, data types and how to use them in Python. Additionally, it is important that you have a basic understanding of programming principles, experience working on the command line, understand basic flow/logical states and can write simple functions in Python.

The interview will also involve working with data (either real or simulated) and performing some basic statistical analyses on the data. You may, for example, be asked to perform probabilistic calculations, including calculating conditional probabilities and referencing discrete probability distributions (Discrete Uniform, Bernoulli, Binomial, and Poisson). Again, the tools of Python will be at your disposal as you perform these calculations.

During your interview, feel free to ask questions, talk through your process and tell the interviewers when you’re stuck. We’re interested in your approach, ability to think through a problem and current knowledge. There is no penalty for asking for help.