You’re about to write the best data science resume ever. But first – Say Hi to Mrs. Susan. She’s the CEO of a popular data science company in India. She’s also hiring a data scientist. Your data science resume is there, on her laptop. But, the bad news is that it is buried along with 200 other data scientist resumes, all alike. Do you understand what the problem is? You already know that data science is one of the fastest-growing fields worldwide with the competition growing even at a much faster rate.  Have you ever thought your data science resume could be the foremost reason holding you back from landing one of the 97,000 open data science jobs in India that you know you deserve? If it’s just your data scientist resume that is standing between you and your data science career, it’s time to craft the best data science resume and show who’s the winner. You’re about to learn how to write a perfect data science resume. And not just any data science resume. But a data scientist resume that has the potential to beat the other 200+ resumes, pique the interest of the recruiter for more than 6 seconds, and help you establish a reliable connection with the hiring managers of your dreams. So, let’s begin right away.

This article will show you –

  • How to write a data science resume that is better than 99 out of 100 other data scientist resumes and will help you land more data science interviews? 
  • How to put up your data science skills and accomplishments on a data scientist resume to land a data science job you want?

4 Golden Tips to Write a Great Data Science Resume

Tip #1 – Begin your data scientist resume with a Professional Summary 

Just imagine your dream data science job. The one with stock options, free on-site gym classes, massage therapists, free food, onsite medical staff, and definitely a sky-high data scientist salary. Your resume is also among the one with 200 other data science resumes on the recruiter’s system. How can you make it stand out from the rest? Simple Answer – With a well-formulated data science resume summary or career objective. Why Because it is the first thing recruiters will lay eyes on when they pick up your data science resume. Your resume should make the hiring manager think, “I must read this data science resume further till the end.”

Tip: Make use of a data science resume summary when you’ve got DJ Patil-level data science experience otherwise it is better to use a career objective when you’re just starting out your data science career, or changing career paths.

Begin the career objective/summary with the total years of experience in the industry and the main responsibilities you performed. Listing every data science skill you can think of will not help to translate it to a data science interview call. The secret is to match your data science skills with the ones the job requires.

Success Mantra – When taking a decision on what duties to add on your resume summary, make use of the data scientist job description as your guide. Make use of some of the keywords from the job description in your data science resume summary. For example,  if the data science job you are applying to emphasizes data analysis libraries like SciKit learn or Pandas, then add any applicable and relevant responsibilities to your career objective which meet this criterion. 

Keep your career objective or resume summary short and simple even if you have several data science projects you would like to highlight. Prioritize and show your experience in the data science industry to the most relevant points. 

Sample Data Scientist Resume Summary 

Can you identify what is the fatal flaw in this data scientist resume sample summary?


Data Scientist with 6+ years of experience, seeking a position with Amazon. Proven skills in statistics, machine learning, and visualization.

It’s a very generic data science resume summary that is for sure going to trigger a yawn for the hiring manager instead of grabbing the attention. Instead, write a data science resume summary that shows your zeal to work with the organization –


Certified Data Scientist with 6+ years of experience, seeking to execute end-to-end data-driven solutions with potential approaches based on the available data at Amazon. Experience in design, development, evaluation and deployment of machine learning and NLP applications that add value to the business. Looking to use my Master’s degree in Statistics to research and implement novel statistical and machine learning approaches for business profitability. 

Looks like the yawns have gone and your data science resumes summary rouse the hiring manager from sleep.

Tip #2: Smaller Data Science Resume Speaks More

A one-page data science resume is recommended unless you have 10+ years of experience and lots of data science relevant achievements and accomplishments to mention. The reason career coaches at Springboard suggest a one-page resume is that it is more approachable and provides hiring managers ease of use and better clarity of the skills as the manager does not have to glance through a huge wall of words over multiple pages. 

However, a two-page resume would work better for jobs that require over 10+ years of experience. If you have got less than 5 years of experience, you definitely need only a one-page resume. So, keep only relevant information on your resume. Do not add multiple paragraphs of flowery prose about your career objectives, responsibilities, and skills to please the hiring managers. For instance, if you are applying for an NLP data scientist position, it is not necessary to mention how you took science as a subject in 12th grade and what you scored. Space on your resume is important -make the best use of it in a wise manner. 

Choosing a perfect layout will naturally guide you on how best you can craft your data science resume on a single page. We personally suggest using a double column layout to create a good impression and make your resume stand out from other data scientist resumes. A double-column layout resume sample shown below gives extra space for the text to “breathe”. This layout could be a great choice for professionals just getting started with a career in data science. Now let’s take a look at a one-page data scientist resume sample that is elegant, eye-catching, and easy to read. This is what hiring managers are actually looking for. This kind of a data science resume structure is easy to scan through and gives the hiring managers a quick overview of your skills and qualifications.

Tip #3 Tailor your Professional Experience Section to the Data Scientist Job Description and Company

Apply for 100  data science jobs by sending a generic data science resume and attend 2 data science interviews. Or Send 10 customized data science resumes and attend 3 to 4 data science interviews. Choosing the second option is always fruitful. How do you go about including the roles and responsibilities for your resume under the professional experience section? This is the most critical part of your resume as it acts like fuel for your car without which the car cannot move a single inch. A data scientist’s resume should be like an answer to the job description that you have all the skills that are mentioned in the JD. Make the professional experience section on your resume relevant to the job description. Do not catalog everything you’ve ever done under the “Professional Experience” section. Rather, include only what is relevant to the position you are applying for. This definitely requires additional work as you need to add minute details here and there to fit in the job description. Now you might be thinking, what if I don’t have the relevant experience required for the job. That’s absolutely fine. Do not exaggerate or make things up, just to match the job description. Instead, you can mention various data science projects that you’ve completed and are relevant to the job description. Including GitHub links or another personal website/blog links with the working code and deployment of the data science applications is beneficial. Whatever small data science projects you work on, mention them if they showcase the skills mentioned in the job description.

Another important thing to make a note of when we say tailor your data science resume is to saturate your resume with important keywords from the data scientist job description. This is to ensure that your resume gets through the ATS your recruiter might be using.

  • Make a note of the important data science skills and keywords that are mentioned in the data scientist job description
  • Highlight your skills in relevant areas making use of those keywords. 

Here’s a quick checklist of the popular data science skills to include on your resume to get you up and running. This is not an exhaustive list but just a basic reference and there could be other sets of skills to include on your resume based on the job description.

Technical Tools to list on your resume–

  • Python
  • R
  • Hadoop
  • Spark
  • SQL 
  • NoSQL
  • TensorFlow
  • Open Refine
  • SAS

Soft Skills to list on your resume –

  • Communication Skills
  • Storytelling Skills
  • Business Acumen
  • Interpersonal Skills
  • Creativity
  • Curiosity
  • Problem Solving

Hard Skills to list on your resume –

  • Data Visualization
  • Data Analysis
  • Data Modelling
  • Math 
  • Statistics & Probability
  • Programming
  • Machine Learning

Try and include the keywords relevant to the job description all over your resume: in the summary section, professional experience section, and skills.

A-Pro Tip – Do not overfit your data science skills to the data scientist job description. Include a few the job does not ask for. 

Here’s a sample data scientist job description with important keywords highlighted  –

As you can see in the above image, the focus keywords for the Senior Data Scientist position at Walmart are – end-to-end engineering solutions, Algorithms, and Data Structures, Big Data Processing, Hadoop, Hive, Spark, HDFS, RNN Models, Deep Neural Networks, C++, and Java. Your data science resume should include all these focus keywords to get through the Applicant Tracking System and increase your chances of landing a data science job interview.

Tip #4 – Make your Education Section Shine on your Data Science Resume

Education matters for landing a top gig as a data scientist. A bachelor’s or a Master’s degree in Math, Statistics, Economics, or Computer Science might not be the golden ticket to landing a top data science gig but can help you get through the door.  You might have put in lots of efforts to become a data scientist right from reading data science books, pursuing various industry accredited certifications, debugging Python or R scripts, and building data visualizations. You need to show all this hard work on your resume. To make your educational section shine on your resume include information about –

  • Your university and specialization.
  • Key data science courses and certifications that you have relevant to the data science job position you’re applying for.
  • Any awards or accomplishments you have been an integral part of.

The education section is the best asset of your data science resume, so don’t worry even if it extends a little.

Here’s how the education section on your data science resume should look like –

Education –

MS in Statistics, XYZ University 2013

BS in Mathematics, ABC University 2010

Springboard Certified Data Scientist

Won 1st place in a Hackathon with a project on Natural Language Processing. 

And Finally …Test Your Resume

Finding out the right way to present your data science skills on the resume is the initial step of your data science job search.  Now you ought to make sure that the data science resume you crafted is perfect to grab the attention of the hiring manager. Should you need some help with that, you can get your data science resume evaluated for feedback from industry experts through scheduled personal career coaching calls. Springboard experts will provide detailed feedback of your data scientist resume in a week along with a prediction of a hiring manager’s first impression after looking at your resume. Think of this as a QA testing job for your data science job search. 

That’s it! You are all set to build a good data science resume. We wish you good luck landing a top data science job with your dream company. Your data science resume is just the first step in landing your dream job, and it’s the only objective is to help you get data science interview calls. If still, your resume is not getting you the desired interview calls, it’s all because you lack the relevant skillset. Check out Springboard’s Data Science career track program that comes with a 1:1 mentoring and project-driven approach along with a job guarantee to understand how you can advance your data science skillset.