Crafting a resume can feel like a daunting task if you do not know the essentials of making a data scientist resume. The process can be a lot more difficult if you have never made a data scientist resume before.
Data Science is considered one of the fastest-growing and highest-paid jobs in today’s era with the advancement of technology. It is a highly lucrative career option and is hailed as the ‘sexiest job of the 21st century.’
According to LinkedIn, Data Science is one of the 20 Fastest-Growing Jobs in the US. The demand for data scientists is skyrocketing, and so is the availability of jobs.
This article will guide you through the essentials of making a data science and machine learning resume to make your resume-making process easier and faster.
In this blog, we will discuss the following in detail:
- How to design the header section of your resume?
- How to compose a compelling summary for a data science resume?
- How should you present your data science skills effectively on your resume?
- How to curate an impactful professional experience?
- How to list your qualification in your data scientist resume?
What All Information Should You Put In the Header Section of the Resume?
While evaluating your resume, the header section is probably the first thing a recruiter will take a look at. If you seek to get a call for the interview, you need to ensure that you provide the correct details in the header section of your resume.
It is one of the simplest stuff in your resume but sometimes overlooking the basic things can cause you trouble more than you think.
The header section of your resume includes the following details:
- Your full name
- Your Phone Number that is available 24/7
- Your Email Id
- Your Location
- Job Title
Adding the correct phone number and email id details is extremely important. The recruiter might need some additional information about your candidacy or may want to interview you over the phone. In that case, adding the right information plays a vital role.
Below is a snapshot of the header section from a data scientist resume:
Pro Tip: We also recommend you to add your LinkedIn profile but make sure that it is updated and characteristic.
How to Write a Summary for Your Data Scientist Resume?
The resume summary is a 3-4 line paragraph describing your career trajectory. It is of paramount importance that your summary is crisp and delivers the necessary impact. Establish a cause and effect relationship in each line.
Let’s have a look at how should you write your summary for your resume:
- Start with total years of experience as a data scientist
- You can mention your qualification and certifications relevant to the target job profile
- Put more focus on data science methodologies and how have used those skills to achieve results
The summary is the first thing in your resume that gives the recruiter an overview of your professional experience. Therefore, It is imperative to craft an engaging summary and set the first impression right.
Here’s a sample resume summary to help you write an amazing summary for your resume:
How to Present Data Science Skills on Resume?
According to Jobscan.Co, 98% of fortune 500 companies, use applicant tracking systems (ATS) to review your resume. With that being said, it is crucial that your resume must include the skills and the qualification that the recruiter is seeking.
Go through the job description carefully and tailor your resume according to the job description. Find the middle ground between what the recruiter is seeking and what you have to offer.
Ensure that you do not add any information that is not true while customizing your resume according to the job requirement.
Rather than making a long list of skills in one section, make 2 separate sections, namely:
- Technical Skills: In this section, group all your technical skills under relevant subheadings like Database, Languages, Reporting, Data Science, etc. You can create subheadings of your own, but the basic idea should remain the same.
- Key Skills: In this section, include all your non-technical professional skills like Database Management, Project Management, Data Analysis, Team Leadership, etc., only if you can substantiate them in your professional experience.
Below is a snapshot of data science skills to help you present your skills effectively on your resume:
How to Write Professional Experience on Resume?
Your professional experience is beyond the list of roles & responsibilities in the previous companies. Recruiters can understand your contribution, but you also have to bring out the impact of your contribution.
Therefore, don’t just write what you did, but also mention the impact of the same. Try to draw a cause-effect relationship throughout your professional experience.
Mention all the projects undertaken and awards received in the professional experience section by making a subhead ‘Key Projects’ and ‘Key Achievements.’
Make sure that all bullet points in your resume begin with a power verb. Also, focus on providing numbers wherever you can to provide a rough idea about the impact of your contribution.
Further, highlight the important words and numbers that are relevant to the job position you’re targeting.
List all your work profiles in chronological order. Here’s an example of how you can design your professional experience for your resume.
How Should You List Your Education on a Resume?
Mention your education details in chronological order with the name of the degree and the educational institution. If you have over 3 years of work experience, you can avoid mentioning 10th and 12th in your resume.
Usually, the professional experience section is ordered before the education section. But, if you are a newbie, just starting your career, then your education details are mentioned above in the professional experience section.
Highlight the section that is more relevant to the targeted job profile and arrange the sections accordingly.
Below is a snapshot of the education section
Pro Tip: You can also add relevant certifications, volunteer experience, and awards you received during your graduation in the education section.
Make sure there are no inconsistencies in your resume. Provided if there are any gaps in your education or work-experience section, make sure you explain them.
Ensure that you proofread all the information before sending it to avoid any silly grammatical errors or spelling mistakes.
We hope that this article has successfully guided you in making a kick-ass data scientist resume for yourself. Since we have reached the end of the article, let do a quick roundup so that you don’t miss out on any crucial details:
- Add correct contact details in the header section of your resume
- Ensure that you write the summary in paragraph form not exceeding 3-5 lines
- Make sure that you list skills relevant to the job position requirement
- Add numbers in your professional experience section to showcase your achievements and performance goals