Data Scientist Resume Example
Read this easy-to-follow guide to learn how to write a foolproof Data Scientist Resume that will get you more job interviews and more job offers. Or, have Leet Resumes write your resume for you for free.
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How to write a great Data Scientist resume
You’re a data magician. You’re a trend-spotter, a data herder, and the critical link between IT and business.
You can turn noisy data into data that tells a story that management can understand.
But when it comes to crafting a data scientist resume that gets you more interviews, you keep coming up short.
Listen, I get it. Resume writing can be a challenge.
That’s why we decided to create a simple data scientist resume template that you can take a look at right here.
Feel free to mark it up, edit it, and use it any way you want.
It’s pretty good, right? Do you want to know why this resume is so effective?
Because it follows our secret, winning formula for resume writing.
Want to learn how we write resumes that get more job interviews time and time again?
Read on to find out.
Why is my Data Scientist resume so important?
You need to think of your data scientist resume as your first impression to a recruiter or hiring manager.
You’re not able to go in person and explain why you’re such an awesome worker.
Instead, you have to send this pretty standardized file. It has to go to bat for you.
And it’s up against 117 other resumes.
You read that right.
For every job opening, there are around 118 job applicants.
So your resume has to stand out while also not confusing recruiters or the resume-reading software they use.
With so much hanging in the balance, it definitely pays to have a professional write your resume for you.
That’s where we come in.
Leet Resumes will write your data scientist resume for you for free – tips are appreciated!
Let’s get started now!
How do I format my Data Scientist resume?
If you are ready to write your resume on your own (I applaud you!), then I want you to learn our winning formula for writing a resume that gets you more interviews.
While you are welcome to tweak this, I’d advise against it. Stick to the formula, and you’ll get more interviews fast.
Our formula starts with a big don’t.
Don’t use any funny formatting. No text boxes, no images, no multiple columns, no extraneous colors, no silly fonts.
Remember, recruiters and hiring managers use software to help them cut through the mountain of resumes they receive.
These software programs get easily confused. When you have funky formatting, the software will think that your last name is your Employer’s name. Or they’ll think that your alma mater was your employer.
Or they’ll put your entire contact information as your work experience.
All of these are bad. They make your candidacy look weaker than it actually is.
You want to work with the software. For that reason, you have to stick to simple formatting.
Once you’ve got that down, you’ll need to follow this structure for the rest of your resume:
- Name + Contact
- Professional Headline
- Professional Summary
- Work Experience
That’s your skeleton for your resume. Now, let’s take a look at each category in a bit more detail.
Name + Contact
This is the heading for your resume. It’s may seem like I don’t need to explain this, but it’s important to make sure the recruiter knows who you are and how to get ahold of you.
For your contact info, you need to put your phone number and your email address. Make sure your email sounds professional (no silly or inappropriate words).
Social media is not necessary. If you really wish, you can put your LinkedIn profile URL, but you should only do so if you check your LinkedIn frequently.
Otherwise, you’re setting yourself up for a situation where the recruiter keeps messaging you and you miss the interview.
The Professional Headline is your introduction. You’ve said, “Hi, my name is Jessica,” now you say, “and I’m a Data Scientist.”
Except you don’t just say the title of the job you have/want. You need to explain your seniority and your work style.
Using 3-5 words, you’ll want to engineer a creative way to quickly get across who you are and how you work.
Here’s an appropriate example: Diligent Senior Data Scientist.
You know how when you scroll through Netflix, there’s a little line underneath each title that gives you some insight into the show?
The Summary is like when you click on that show and you get that little mini-paragraph.
Except this is not strictly a paragraph. These is 2-4 lines that give the hiring manager some more context about what job you’re targeting and why you’re equipped to do the job.
- Line one: Job titles you’re targeting on your job search
- Line two: Skills relevant to your career as a data scientist
- Line three: Accomplishments in your data scientist career
- Line four: Promotions and awards you’ve earned as a data scientist
Lines one and two are mission-critical.
Lines three and four are dependent upon your experience. If you’ve worked as a data scientist for a while, you’ll want to burnish those credentials.
If, on the other hand, you just got your Bachelor’s degree, you’ll want to stick to lines one and two.
Are you following along all right?
There’s no shame in feeling a bit overwhelmed.
Reach out to us and have us write your Data Scientist Resume for free – tips appreciated!
We’ve arrived at the main focus of your resume: your work experience.
This is where you’re going to convince your recruiter that they need to interview you.
You’re not going to do that by simply listing your daily job duties.
That makes your candidacy look weak. It makes you look like you simply punch in and out, not caring about making an impact.
And you do care about making an impact, right?
Well, it’s time to show off that impact.
Here’s how you’re going to do that.
Focus on successes, achievements, and accomplishments
The single best way to win an interview is to focus on your successes and achievements.
In other words, you need to brag about your work.
This gets you more job interviews because it shows the recruiter the impact you’ve had at your place of work.
They then can imagine how great your impact will be when they hire you.
Start with a strong verb
Maximize the impact of each bullet by starting with a strong verb.
See my previous sentence? See that it starts with a verb?
See how strong that is?
You want to do the same. Analyzed, quantified, interpreted, reported, presented.
This helps strengthen your resume, and continues to show the impact you have had at each job you’ve held.
Quantify your experience
Here’s the final way you maximize the impact of each bullet: put numbers everywhere.
When you quantify your work, and you quantify how much money your work earned/saved your company, you give a hard figure to the impact you’ve had at an organization.
This helps a recruiter make a business case for hiring you.
Add the numbers. You’ll boost your odds of getting that interview.
Include your promotions
This, of course, only applies if you’ve been promoted.
If you’ve ever had a promotion, you should include it on your data scientist resume. This will show the recruiter that you have the ability to develop with a job – which will make your candidacy appear stronger.
You’ll look like a great long-term investment, and be far likelier to get the interview.
Don’t forget dates
Lastly, do not forget to include dates – even if you have some resume gaps.
Gaps are not cardinal sins. You will still get interviews with resume gaps.
You will not get an interview if you leave dates out. It makes it look like you’re hiding something, and it will make recruiters suspicious of your candidacy.
Win them over by putting the dates on your resume.
This is the easy section of your resume. There’s no need to get clever with the action verbs and promotions.
All you need to do is list any degrees and certificates you’ve earned, along with the institution that conferred them.
The last section of your data scientist resume is the keywords section.
What are keywords?
They are soft skills, hard skills, and awards that are relevant to your career as a data scientist.
This is the last section of your resume. As such, it represents your last and best chance to win the recruiter over and get that job interview.
So, make sure you list all the skills you have.
Here are some that you may want to list:
- Machine Learning
- Data Visualization
- Data Wrangling
- Statistical Analysis
- Writing and Presenting
Can I get someone to write my Data Scientist resume for me?
Overwhelmed by all this data scientist resume advice? Do you need someone to help you out? Try Leet Resumes. We will write you a personalized data scientist resume for free (tips are appreciated).
You have nothing to lose and a whole career to gain.