They say, the first impression is the last, and thus resumes are the first impression of any professionals including data scientists while searching for a job.
Landing on a data science job is tiring but if successful, can be extremely rewarding as it is the highest paid profession of the current era. With such a great offer, the competition also increases massively with the highest proportion of 33.7% open jobs in data analytics. For getting a potential call for an interview resume is of course crucial. And that’s the reason, having a perfect, updated and relevant resume is critical for landing on a data science job amid this crisis.
While we have spoken extensively about what a data science resume should look like, here, we will discuss some things that one can do away with while writing their resume for a data scientist job.
Also Read: Can A Chartered Accountant Become Data Scientist?
Do Not Put A Vague Summary/ Objective
The first thing that data scientists shouldn’t put is a vague and irrelevant summary or objective in their resume. Creating a summary or an objective which is more relevant to the job will provide an extra edge and prevent recruiters from distracting from your profile. As a matter of fact, the whole resume should be completely specific to the requirement of the job; whether it be summary, skills or certifications.
One can start their resume with their specific information as to whether they are junior data science or a senior or whether just a graduate. And then continuing the same, the data scientists can state their objectives and what value they can bring to the business. In short, the more one customises their summary and objective according to role expected, the more chance they have to land on a data science selection pile of recruiters.
Also Read: Tips To Create A Compelling Cover Letter To Land A Data Science Job
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