Ladders had revealed in a study that hiring managers and recruiters spend an average of 7.4 seconds on a resume. However, it does not mean they read the entire resume in 7.4 seconds – it just means that they do the initial scanning in that time frame.
Intial scanning is basically skimming through the skillsets and experience level. In modern day hiring, initial filtering is done by ATS i.e. Application Tracking Service. An ATS is pre-fed with criteria like skills or experience levels or designations. Accordingly, first level of filtering happens automatically – resumes that do not match the pre-fed criterion are filtered out.
Next level of skimming happens in the “7.4 second” timeframe when a recruiter once again validates the skillsets. After shortlisting resumes, now a recruiter slows down to actually read your skills, your job roles, projects, achievements, and every other detail that you have mentioned. Ideally, a recruiter will spend 30 seconds to 2 minutes in reading your resume.
Also read: 7 Types of Data Science Jobs for Freshers to apply for in 2022
What does this mean for you?
As a fresher:
- You must learn to organize and optimize your resume for an ATS
- You must understand how to best represent your skills so that it catches the recruiters’ eyes
Let’s get started with our detailed guide on how to effectively write a data scientist resume for a fresher. In this article, I will help you get to the bottom of writing an effective resume, some pro tips and data scientist resume sample that are winning over hiring managers and recruiters.
Pro tips: Data Science Resume for Freshers
Your resume needs to stand out not in terms of design or beautification but with your skills and organization. A great resume is all about putting all the information in an easy-to-read format. Assuming that a hiring manager will spend not more than a minute skimming through your entire resume, you want to highlight the important aspects first. This brings us to the core of writing an effective data scientist resume – pointers to add to your resume.
Tip #1: What to add to your resume
Make sure your resume is populated with information that matters. Hiring managers prefer a one-pager unless you have loads of projects and achievements to mention. Yet, the appropriate length of your resume shouldn’t exceed 2 pages. Here’s what you should add:
- Educational qualifications
- Independent projects
- Certifications, along with the date of completion and certification validity
- Internship details
- Skills and abilities – include soft and hard skills
- Achievements in other domains, whether related or not
- Work objectives
- Community engagements
- Workshops and training programs
- Freelance engagements
In a data science resume for fresher, two things stand out most prominently:
- Education background
- Skills you have acquired
Make sure you add your contact details prominently so that the recruiter can reach you easily if you are selected. Another bonus point is to add references if you have one.
P.S. References go a long way in cutting the competition easily. So, if you have someone who has referred you, make that count.
After all, it’s a win-win for both of you – you get extra brownie points and the one who referred you gets the final credit (read: bonus) once you clear all the rounds and join the company.
Here’s a more detailed guide on creating an effective data scientist resume from Enhancv, the one-stop platform for job-winning resume templates.