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My plan for the data interview process

I am graduating in May 2018 and obviously need to find some employment. I would love an entry level job as a data scientist.

It can be difficult to obtain a job as a data scientist. The field is incredibly competitive as it is the “sexiest job of the 21st century”. The field also tends to be biased towards masters/PhDs right now. On top of all this, the interview process can be pretty difficult.

My plan:

- Keep track of all the companies I talk/apply to: 

As an aspiring data scientist, I should definitely be collecting data on the interviewing process in order to track my progress. I came across Galvanize’s video Hacking the Data Science Interview and I think the presenter makes some wonderful points. I am going to be using this Google Sheets Interview Funnel Tracking Template from the talk in order to track my progress.

- Build up a legit portfolio:

I plan on putting together some really well-polished data science projects together at Chasing Data. I’m got to spend my Saturdays in January doing some mini-hackathons where I power through some projects in order to churn out a really well-polished portfolio.

- Read, Read, Read:

In an effort to prepare myself for all the various questions that might be thrown at me during the interview process I plan on reading as much as humanly possible. Here is a list of books I intend on reading:

- Network Like Crazy:

I plan on really trying to network over these next couple months. I am really interested in how I can add value to other peoples businesses and hopefully find a great fit.

- Online Resources:

If you have any questions or comments, please post them below or feel free to contact me. If you liked this post, you can share it with your followers or follow me on Twitter!