Seeking jobs as a data scientist has always been a struggle. The eagerness of landing a lucrative career, notwithstanding the stringent hiring process that involves multiple technical rounds, assignments, and interviews.
But even before getting into this, creating a resume or a portfolio is a daunting task.
While you may think that putting out skills in a word document is the simplest thing you need to do, try to remember, your resume is going to create the first impression to your employers and hiring managers. Therefore, you must not make a mistake while curating your resume.
Aspiring data science professionals need to ensure they present their resumes that creates a major impact right at the first glance itself.
Below are some of the important points a data scientist should include in their resume.
- Emphasize on the projects and assignments
Employers are much more interested in the skills you possess and how easily you could solve a complex problem. Make sure to add the projects you’ve worked upon. Hiring managers seek to hire professionals with hands-on experience in tools and technologies.
- Highlight your achievements and education
Never engage your employer with fluff just to increase the word count in your resume.
For instance, instead of writing a phrase – I have a strong background in mathematics and statistics, project your message directly. Instead, use phrases like – attended Harvard University studying Statistical analysis and was awarded top prize for my thesis.
The more precise and detailed you are with your achievements, the more likely you’ll be in securing the job.
- Talk data
A typical generic resume will be filled with words that are rather vague and makes no sense. Remember, you’re here to get into a data science career. No company will entertain you if your resume falls under this category. If you’re talking about accomplishments, make sure they see data.
For instance, “I was able to boost my teams’ performance by 13 percent within two years resulting in a 40 percent growth rate.”…