5 Steps to a Job-Winning Data Science Resume in 2021

In this guide we will guide you on how to revamp your data science resume and get ahead of the competition.

18:07 26 August 2021

Data science has risen as one of the most promising and highest-paying careers in 2021. According to a recent study by PayScale, the average salary of a Data Science professional in the United States stands at USD 96,455.

 

The salary certainly fascinates the young minds aspiring to build a career into data science. However, you definitely need to possess appropriate technical skills combined with training and certifications to get started as a Data Scientist. 

 

But with given the competition, getting certified is not enough to land an interview.

 

It’s impossible to attract the recruiter’s attention without an impactful Data Science Resume.

 

In this guide we will guide you on how to revamp your data science resume and get ahead of the competition. Check out the following steps that will help you to build an attractive Data Science resume in 2021.

 

Create a Master Folder & Make an Outline

To get started, you will have to create a master folder and collect all the essential information, documents, and certifications in that. By doing so, you will be able to arrange and showcase all the required information without getting confused while making your resume.  

 

After collecting all the information, start creating the outline of your resume. The outline of your resume will have to be according to your experience level to get better impressions from your recruiter.

 

Collect Keywords

After creating the outline, all you need is a lot of industry-specific keywords to build a technically strong data science resume. You can use the Job Description or Google to get relevant keywords for your Data Science resume.

 

Add these keywords as much as you can while making the first draft. These keywords will help your resume in getting through the ATS (Applicant Tracking System) without any hurdle. Industry-specific keywords will also grab your recruiter’s eyes and increase your chances of being shortlisted.

 

Some of the profile-centric keywords for your data science resume can be seen below:

• Python
• Programming Language
• Data Scientist
• Data Algorithm
• SQL
• MATLAB
• Natural Language Processing
• MongoDB
• SAS
• Tableau

 

Showcase Your Skills

All of your skills must be showcased appropriately in your Data Science resume. Both technical and soft skills are equally important for a recruiter. Hence, there must be separate sections of both skill types for getting better results.

 

Highlight all of your kills and other keywords for better representation. All the important information must be highlighted with bold font in your data science resume to get your recruiter’s undistracted attention.

 

Elaborate on Professional Experience

Professional experience is one of the most essential elements in your Data Science resume. Hence, it must be crafted with patience and a focused mindset. Enlisting your company with a single line of its working area is a suitable form of crafting the personal experience section.

 

Elaborate on your roles and responsibilities in your previous companies to offer an overview of your work journey. Showcase all of your professional experience information in bullet points starting with a power verb and addressing the cause-effect relationship. Highlighting the result or achievement in every bullet will also create an impressive representation.

 

Craft Engaging Summary

As its name defines, it will possess a concise form of your entire data science resume. This section must be crafted after completing all the other sections of your resume. The Summary of your data science resume must be filled with profile-related keywords.

 

The summary must possess all of your major skills, education, certification, and achievements in a concise form to give the recruiter a glance at your overall journey and expertise. This section must not be more than a single paragraph.

 

Additional Information

Apart from these above-mentioned 5 points, you can also add relevant additional information to your data science resume. Additional information can be anything related to the language you know, your volunteer experience, your achievements, etc.

 

Moreover, showcasing your certifications in a separate section will also create a better impact in front of your recruiter. 

 

Key Takeaways

All the important information to build an impactful data science resume in 2021 has been showcased above. Here you can check out the extracted key points of the entire content piece:

 

• Collect all of your essential information and documents in a master folder
• Create the outline of your resume
• Prepare the first draft with all the industry-related keywords
• Make separate sections for Technical and Soft Skills
• Showcase your professional experience section with bullet points
• Craft engaging summary filled with profile-centric keywords

 

We have mentioned all the important points as per our knowledge in data science resume building. Any suggestions to improve it are highly appreciated. Wishing you all the very best for your job hunt.