What is the purpose of a data science resume?
You have seen an advertisement for that data science job you have been waiting a long time for. You are more than ready to start work right away, but like any other job; you have to send an application. Sending an application is usually the first step, making it even more important. How do you come up with a resume that will catch the company’s attention?
First, you must understand the data scientist resume objective; to help you get to the interview stage of the application process. The resume is not meant to list all your previous experience, skills or show off your impressive educational achievements and background. The only details it should include are those necessary to get you to the interview.
A well written data scientist resume is therefore one which tells a compelling story. The term story in this context does not mean that you write of your adventures as a child or an adult for that matter. It simply means that you craft relevant professional experience and skill into a summary that is clear and concise. The key word here is including only relevant details. By skimming through your resume, it should take the reader no more than a few seconds to get the gist of your story.
What to include in your python data science resume
An ideal resume data scientist contains all of the following information, presented in a manner that is clear and most importantly, concise.
- Relevant education background – once again, the importance of relevance has to be emphasized. While you may have been to quite a number of educational institutions and done your fair share of subjects, a hiring manager will be particularly interested in your background related to mathematical subjects. Most companies will be looking to see that you have a proper understanding of the technicalities that underlie algorithms, for example. As such, your resume must definitely include mention of an externally validated qualification in a mathematical subject.
- Evidence of independent research projects – data science is heavily dependent on research. Therefore, as opposed to simply stating that you attained a PhD or MSc from a certain university, it would be more accurate to clearly state the research project you undertook while pursuing this qualification. It is advisable to include a brief summary of the topic you undertook for your thesis as well as various key aspects you focused on.
- Programming skills – clearly indicating your proficiency in Python which is a high level rapid prototyping language will go a long way in catching the attention of the hiring manager. For a really good resume, you must not only list the language and the years of experience you have in using it but also relate it to any of the projects you have worked on.
- Technical skills – your story should also incorporate your ability to work with a number of problem types including forecasting, simulating, predicting and optimizing. Once again, you must include these problems on the basis of their relevance to the advertised position. Not all your skills have to appear on your resume.
- An indication of an open mind set – this is even more important for an entry level data scientist resume. You should clearly express your willingness to continue learning on the job, as well as commitment to continuous professional development.
A resume that takes into account all these aspects is bound to get you to the interview. However, coming up with a story that is concise and interesting for the hiring manager to read may not always be an easy task.
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