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There are 2.3 million data science jobs in the U.S.
IBM predicts that number will grow 28% by 2020.
You could write your data scientist resume in COBOL and get the job. Right?
Well, yes, except for all those smart people. They're battling it out like League of Legends players for the top few unicorn jobs.
You know, the jobs with a full year of paid paternity leave and $200,000 salaries.
To land those jobs, your data science resume must stand out like DJ Patil at a Chuck E. Cheese.
This guide will show you:
Here’s a sample resume for a data scientist made using our resume builder:
Want to save time and have your resume ready in 5 minutes? Try our resume builder. It’s fast and easy to use. Plus, you'll get tips and right vs. wrong examples while writing your resume. See 20+ resume templates and create your resume here.
Data Scientist Resume Example—See more templates and create your resume here.
You're a data scientist.
Your job is pulling golden needles from fields of haystacks.
Your data scientist resume must be the needle, not the haystack.
Pick a trusted layout like reverse-chronological.
It's the best data science resume format. It puts your most recent work achievements first.
Use clear fonts like Cambria or Arial. Delineate them with big headings. Add white space to avoid that "drowning in data" feeling.
Last, save it as a PDF. Data scientist resume PDFs stay clean across machines. MS word resumes can corrupt in transit.
Pro Tip: While PDFs are best, check the job description first to make sure they aren't outlawed. Always choose the format suggested by the job posting.
Want to make sure your resume will hook every recruiter and get you that interview? Get our free checklist and learn what makes a job-winning resume: 46 Things You Need To Do Before You Send Your Resume
Want to investigate other data science resume formats? See our guide: 3 Resume Formats: How to Choose the Best One [Examples]
Come with me. We'll sneak into the recruiter's office. Her name's Beth.
Mmm. Looks like she's having cheesecake factory for lunch.
She's also buried in a pile of 300+ data science resumes.
Yours is in there somewhere, like a key fact in a spreadsheet with a billion rows.
Catch the recruiter's eye with a data scientist resume summary or a resume objective.
A resume summary is for data scientists with petabytes of experience. It uses that experience to prove you fit the job.
A resume objective sells your skills and passion. Write one if you're basically like Ultron: new and powerful.
Let the following data science resume examples be your guide.
Spot the difference in these sample data scientist resume summaries:
Data scientist with 9 years experience seeks new position. Skilled in statistics, machine learning, critical thinking, and data visualization.
That's actually not terrible. You could qualify for a lower-tier data engineering job with that.
But check out our next resume sample for a taste of excellence:
Microsoft and Google certified data scientist with 9 years of experience. Seeking to increase data efficiency for Contranix Capital Inc. Achievements include creating data regression models to predict company stock prices with 25% more accuracy than historical average. Achieved 20% improvement in investment returns across all clients. Highly skilled in machine learning, data visualization, and creative thinking.
Kerpow! You just went from average to Andrew Ng. And all you had to do was add some measurable accomplishments.
Our resume builder (you can create your resume here) will give you tips and examples on how to write your resume summary or any other section. You can easily copy them straight into your resume—it will save you a ton of time.
Inside Uptowork's resume tool you will find tips and examples for your resume.
Don't have much experience? Check out our next two data scientist resume examples.
Most experts say a resume objective should show passion and skill with no experience.
But if you've got experience, flaunt it, or you'll easily get beaten out.
Don't do it like the first of these entry-level data science resume examples:
Entry-level data scientist, seeking a machine learning or data engineering job. No real-world experience yet but I'm eager to get into the Big Data field.
That drops the ball like conflating correlation with causation.
But with details, even a new data scientist can build this kind of resume objective:
Junior data scientist with 3+ years of experience in project work and freelance jobs. Beat 200+ statistics professors and big data professionals in an NCAA pool, by building models that fit the problem best. Skilled in machine learning, statistics, problem solving, and programming.
Remember Beth? Our faithful recruiter?
She wanted proof that you could do the job.
That junior data scientist resume example just gave it to her.
Pro Tip: Participate in Kaggle challenges online. Some pay in cash prizes or job interviews. Plus, you can list any wins on a resume for data science positions.
Want your resume to work like Hadoop? See the data science resume sample up top. Also, check out our guides:
You can basically concoct a Bayesian neural network during snack time.
But the hiring manager won't know that unless you prove it in your data scientist resume.
So, don't just show experience.
Show the right parts of the right experience to get the job.
Start with your most recent position. Add 3–5 bullet points with measurable accomplishments.
The next two data analyst resume samples show how to do it right (and wrong).
Look at these two data science resume samples:
Now that’s a data scientist resume indeed! The recruiter just forgot what "quantile" means. Your well-engineered data science job resume just blew it from her mind.
Here's how to bork it:
2013 - 2017
Like an empty data set, that lacks details.
You must show proof to get the recruiter to stop skimming.
But what if your experience is null?
If that's you, check out the following fresher data scientist resume examples.
Don't have experience? Get a little, fast.
Do a couple Kaggle challenges. Take on some freelance jobs through Upwork. Contribute to some open source projects on GitHub.
You can even just do data science projects on your own time, or list the ones you did in school.
They won't take years or even weeks. Even so, they'll make a machine learning resume stand out like Corinna Cortes at a NASCAR race.
These two data scientist resume examples spotlight the correct approach.
The first of our sample data science resume snippets has a major flaw:
Data Scientist Experience: No real world experience yet, but I'm very passionate.
You might as well just say, "Mongo only pawn in game of life."
But add a few hours of freelance work and projects, and even an entry-level data science resume looks like this:
Freelance Data Scientist
NCAAMaster: Beat 200+ statistics professors, students, and professionals in an NCAA pool by finding the right data models for the job.
FootForest: Used random forest regressor to predict fantasy football scores.
Pylearn 2: Regular contributor to Machine Learning project on GitHub.
Boom. You went from zero to the next Tim O'Reilly with a couple days of work.
Almost anyone can make a good data scientist resume like that.
Also check the Kaggle job board, Indeed, DataJobs, and Triplebyte. Look for jobs with startups on the HackerNews and AngelList.
Remember, there are tons of data science jobs out there, with almost 30% more by 2020.
Pro Tip: Don't just pick any old achievements or skills for your data scientist resume. Match your bullet points to the job description like WEKA to a massive data set.
A bored recruiter is a vanishing recruiter. Electrify her with action words in your data science resume. Get some here: 80+ Examples of Resume Action Words for Every Profession
Education matters more for entry-level data scientists.
But even a senior data scientist resume can use it as a springboard to get hired.
Here's how to make yours shimmer:
First, add the basics:
Then tie it to the job offer like probability to p values.
Check out these two professional data science resume examples:
Both of these sample data scientist resume clips target the same job. It values statistics, machine learning, data regression, and AI.
BS in Statistics, Syracuse University
Microsoft Professional Program for Data Science
That's no mere data scientist. It's Sandy Pentland in disguise. It plugs into the job description like a NoSQL query.
Not so the next of our data science resume examples.
BS in Statistics, Syracuse University
2008 - 2012
Microsoft Data Science Online Class
That's the hello world of resume material.
But sprinkle in those details, and you're back in Daphne Koller mode.
Pro Tip: Should you add your GPA to a resume for a data scientist? If you're a recent graduate, you sort of have to. If not, only add it if it's impressive.
Want to make your data scientist resume stand out like Sherlock Holmes with Cloudera skills? See this guide: How to Put Your Education on a Resume [Tips & Examples]
Let's sneak up behind the hiring manager again.
She's on resume #259.
(She needs a big data analyst to help her sort through all the big data analyst resumes.)
Her biggest problem? Skills.
Everybody lists them all.
Yet no one proves a word of it.
So how can you list skills without flunking the Turing test?
Our next two data science resume examples explain.
Our hiring manager, Beth, put these skills in the job description:
Data Science Skills: Collaboration, CRM, Database Management, Data Visualization.
So, add them to your resume. But don't stop there.
Prove them in your bullet points like in this data scientist resume skills example:
That ties skills to achievements like Spark to Zeppelin.
Use the skills below to launch the process.
Let's get you up and running with a list of data science skills.
Add to it from data scientist resumes on Indeed and other online sources.
Use the plan above, and your data science resume will have you scoring Google/Yahoo/Splunk type jobs in no time.
Pro Tip: Don't overfit your skills to the job description. Toss in a few they didn't ask for.
Want to make a resume for data science jump off the page? See the machine learning sample resume up top. Also, see this guide: 30+ Best Examples of What Skills to Put on a Resume (Proven Tips)
Let's get back to Beth, our hiring manager.
She likes certifications on her data scientist resumes.
They're not the holy grail, but they do prove a base level of competence.
But not if you hide them in a wall of words.
Got a certification that features prominently in the job description?
Add it to your name. Plus, put it in your job summary, and in a certifications section.
The big data field serves up lots of certifications. One of the most prestigious is Microsoft's. It's a 120+ hour comprehensive course.
A good data scientist resume might show any of the following:
Don't have a certification? Don't fret. What matters most is your experience, and how well it fits the job requirements.
Pro Tip: If you land the interview, get ready for some FizzBuzz problems. Review topics like recursion, arrays, graphs, and stacks. Do lots of practice problems too.
Want other tips to make your data scientist resume gleam like Sheldon Cooper's? See our guide: What To Put On A Resume To Make It Perfect [Tips & Examples]
Think of your resume like a great data visualization.
The data it needs to visualize is you.
It has to show you're more than just experience and education.
In other words, you're great to work with.
Show that with "other" sections that share your depth and passion.
The next two data science resume examples light the way.
This sample R programming resume "other" section bonks:
What's wrong with WoW and brisket? Nothing!
But do they make you a better data scientist?
For contrast, check out this far superior data scientist resume example:
On team that won the Kaggle "Titanic: Machine Learning" challenge
That's a Norvig-worthy "other" section.
Even the volunteering and the hiking help. They show leadership and service. You can add GitHub and other projects, too.
Yet anyone can make a data scientist resume like that.
Pro Tip: Need more recruiters to impress with your great data science resume? Start answering questions on Stack Overflow. Hiring managers use it to recruit.
Need more help to hone your data science resume "other" sections? See our guide: 20+ Best Examples of Hobbies & Interests To Put on a Resume (5 Tips)
Recruiters do read data scientist cover letters.
So why do "experts" say they don't?
Because no one reads "Here is my data science resume" type cover letters.
They're wasted space.
Smart candidates use that space to get a resume read carefully.
First, make it personal. Use the hiring manager's name.
Second, show your passion for this data science job.
Third, show specifically how you can help.
I've wanted to work for Valens Securities for several years. Your take on the limitations of GAAP fits perfectly with my skill set. I believe my work with data-regression models for company P/Es would be extremely valuable in your quest to adjust for accounting anomalies. My achievements include...
Finish with a request. "Can we set up a call to talk about improving [METRIC XYZ]?" works great.
Plus, a great cover letter that matches your resume will give you an advantage over other candidates. You can write your cover letter in our resume builder here. Here's what it may look like:
See more templates and create your resume and cover letter here.
Pro Tip: Do you need a masters degree in data science to get a job? No. In fact, a bachelors in math, business, or even political science looks good on a resume for data science.
Want a full template for your data scientist cover letter? See our beast of a guide: Writing a Cover Letter Step-by-Step
If you're like most, you'll make one huge mistake with your data science resume.
It's in your contact info.
Of course you'll add:
Trisha Stamm, Data Scientist, firstname.lastname@example.org, 401-439-3501
You probably even know a "professional email address" isn't something like email@example.com.
For some reason, nobody wants to hire that guy for data science jobs.
But did you know a LinkedIn profile and data science portfolio are even more important than a resume?
About 87% of recruiters hire from LinkedIn.
A personal portfolio site helps too. It can share so much more than a data science resume.
Where to put GitHub on resume?
You can add your GitHub profile to your contact info, too. Put it near your LinkedIn address.
That works especially well if you've got an impressive body of GitHub work and projects.
Pro Tip: Not sure how to write a great data scientist profile on LinkedIn? We've got you covered. Check out our guide on LinkedIn profile excellence.
Need a guide to set up that job-winning professional website for a data analyst? See this guide: How to Make a Professional Website: Complete Guide + 9 Tips
This guide shows how to write a solid data scientist resume, complete with certifications. Remember these key tips:
Read the job description carefully. Each bullet point in your data science resume should point back to the job offer.
Don't just list your skills. Taylor them to fit the job with measurable accomplishments.
Add "other" sections to make your resume stand out like a machine learning resume by Daphne Koller or Adam Coates.
Do you have questions on how to write a great resume for a data scientist? Not sure how to describe your skills or achievements? Give us a shout in the comments! We love to help!