data science resume

According to a prediction by IBM, there are 2.3 million Data Science Jobs in the US, and this number is said to grow 28% by the year 2021. Companies today are hard-pressed to find good data scientists. Thus, building a compelling data science resume is highly essential. The skills present in your data science will vary depending on the job role and hire company. However, there are a few common data science skills that are consistent across various job roles. 

Experts of this domain need to have a sound understanding of Data Science concepts and know where to apply this knowledge to solve real-world problems. Making your resume concise and short will help recruiters look through the most important skills you wish to showcase. Since recruiters are looking through a large number of resumes in a day, a one-page data science resume is 85% more likely to be read than a multiple page resume.

Essentials of a Data Science Resume

  1. Resume Summary or Objective
  2. Work Experience
  3. Educational Qualification
  4. Certifications
  5. Skill set
  6. Projects
  7. Publications
  8. Choose the right format based on your experience

Writing a compelling resume summary or objective will catch the attention of the recruiters. It is possible to land a data science job with no prior experience. The key to landing a job as a fresher is to present yourself well, and a data science resume can be maneuvered to your advantage. As a fresher, choosing a functional layout for your resume will help you emphasise the skill set rather than work experience. You can highlight your skills that match the requirements of the hiring company. You can also showcase any internship work or voluntary projects that you may have worked on. Providing a link to your GitHub profile is a great way to allow the recruiters to learn more about the pet projects you may have worked on. 

Pro Tip: Edit your data science resume based on the job you are applying for. Accommodate job requirements in your skillset, achievements sections.

If you are a professional, selecting the classic reverse chronological resume format is perfect as you can focus on showcasing your work experience rather than your skill set. You can highlight all your professional work experience as a data scientist. 

Data Science Resume Header 

The header in your resume is likely the first thing to be noticed by the recruiters. Ensuring that it offers an insight into your professional profile is essential to make it effective. Traditionally, your resume header should contain your full name and contact information, such as your email address or phone number. You can place your certifications or networking profiles next to your name, as this will help you stand out from the crowd. 

If you have worked on projects, it would be ideal for placing the link to your Github or LinkedIn Profile or website in the header of the resume. Do not include your social media profiles, as they would not add much value to your application.

data science resume

Data Science Resume Objective 

A data science career objective is the part of your resume where you explain why you are suitable for the job role you are applying for. Assume that you are taking the most effective line from your cover letter. This line can be used as the summary or career objective in your data science resume. It acts as an insight into your professional journey and lets the employer know why you are interested in that particular job role. It also gives you a chance to show how your skills are unique compared to others. 

An example of a summary for a fresher in Data Science:

Ensure that the summary is concise and specific to the job that you are applying to is important. As a professional with work experience, you can showcase your qualifications and help the employer understand why you are perfect for the job role. Hiring managers are always looking for professionals who are a good fit for the company. Customising your resume objective or summary according to the company you are applying to can make a big difference. 

Educational Qualification

Although education is a big part of building your career and resume, mentioning every detail may make the resume look cumbersome. Highlight the last obtained or latest educational qualification. In today’s world, online certificate courses also carry a lot of value. Especially when it comes to developing your skills in a niche sector or a specific domain, taking up online courses and including these in your resume will add immense value and show that you are open to continuously upgrading your skills and obtaining more knowledge. Any certificate that is more than five years old can be considered an outdated certificate. Speaking of education, you can also take up the MIT Applied Data Science Program, a 12-week program. You will have access to live mentor sessions and live virtual sessions by MIT faculty. 

Pro Tip: Don’t shy away from giving every detail regarding your work experience and achievements. Flaunt your achievements.

Data Science Skills

  • Statistics
  • At least one programming language – R/ Python
  • Data Wrangling and Data Exploration
  • Data Extraction, Transformation, and Loading
  • Machine Learning Algorithms
  • Deep Learning
  • Big Data Processing Frameworks 
  • Data Visualization
  • Data Analysis
  • Quantitative Analysis
  •  Modelling
  • Mathematics
  • Probability
  • Debugging

Soft Skills for a Data Scientist Resume

  • Critical Thinking
  • Research
  • Collaboration
  • Time-Management
  • Communication

Tips to Write a Data Science Resume 

  1. Choose the correct combination of technical and soft skills depending on the role you are applying to
  2. Use bullet points rather than long paragraphs
  3. Use a direct and relevant career objective or summary 
  4. Do not underestimate your work experience and shy away from getting into a detailed picture of your work experience
  5. Mention all your relevant achievements
  6. Present details in a concise manner and format so that it is easy to read

This brings us to the end of the blog on Data Science Resume. We hope that you have greater clarity on how to structure your data science resume. Taking up a course that will help you enhance your skills will also help you stand out from the crowd. It also increases your chances of being hired. Check out Great Learning’s PGP Data Science and Business Analytics Course and upskill in the domain. The course will help you learn from the top-ranking university and get you a certificate from UT Austin McCombs School of Business and Great Learning. This will add immense value to your resume and help you become more job-ready. The course also offers hands-on learning and live mentor sessions. Sign up today!



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