November 9, 2021 No Comments


Data science was one of the most paying jobs in 2019 and it’s not surprising that so many specialists are willing to enter the field. If you are willing to become a data specialist, learning won’t be enough: you’ll need to think about your CV and what every section resume should contain.

Below we’ll teach you how a great career objective looks like, what skills to include and how to land an interview without efforts!

Craft an outstanding data scientist resume outline for the best result

Start creating your scientist resume with an outline. It includes the following sections:

  • Resume summary;
  • Experience;
  • Education;
  • Certifications and Projects;
  • Skills;

Identify only relevant achievements and organize them in order of importance: start with the most recent jobs or with the work experience that concerns the vacancy.

Picking the best template for a data scientist resume

Resume indeed is a chance to stand out, so it must render your experience and show that you are a qualified data scientist. Depending on the impression you want to make, here are the four main types of data CV templates:

  • One column – the most classical solutions for a resume;
  • Double column CV helps a scientist to stand out;
  • Condensed for a Ph.D. computer specialist that needs to fit all the projects;
  • Modern for data specialists, who want their CV to look catchy and stylish.

How a header of a great data scientist resume should look like

The header is a great chance to show a hiring manager that your data scientist resume is worth their attention. Avoid photos or unprofessional emails and include only specific information like your expertise level, contact information, and a link to a professional account with an example of technical skills.

Resume summary and objective: how to highlight your strongest sides

Resume data should be briefly stated in the summary of the objective. In this section, you show motivation and explain why you want to be a data scientist. Don’t forget to tell me about your experience and skills like machine learning or attention to every detail. The summary should show that you are a data driven scientist with impressive projects or a job record that anyone would envy. Recruiters hiring such a professional won’t be disappointed!

Creating a flawless experience section in a resume

The experience section is the heart of resume templates and hiring managers pay careful attention to it. Here’s how professional experience should look like:

  • Only relevant job experience;
  • Follow a reverse chronological order and help hiring managers find required data easily;
  • Focus on achievements and not on responsibilities.

Ways of crafting a perfect education section in a data science CV

To become a monster of data business you surely had to read tons of books and learn everything about data mining, java, machine learning, and analytics. So make that data visible right after the work experience section. Your education should include:

  • University and major;
  • GPA;
  • Education courses;
  • Awards and achievements.

Skills required to be a data scientist

To make a solid impression, a data scientist should possess strong and relevant skills in a range of fields including analytics, software, and account management. Below are the hard and soft skills a data monster should use to build resume.

Skills all the data scientists must possess

You can always view a sample of data scientists resumes learning about the technical and business skills they should possess. Or just follow our quick checklist:

  • Programing languages like java and python;
  • SAS and SPSS analytics;
  • Components of Apache Hadoop;
  • NoSQL navigation;
  • Data visualization tools;
  • Mining tools like Rapid Miner.

Examples of soft skills

To build resume for a data scientist position, you’ll need to include information on your soft skills like:

  • Ability to work in a team;
  • Knowing how to find data and relevant information quickly;
  • Ability to learn new data and programming languages;
  • Understanding business processes;
  • Analysis of mistakes in data science;
  • Being able to predict further development.

How to list projects on a data science resume

To show that you are a professional data scientist make a list of all the science projects you have completed. When listing them in a Projects section don’t forget to explain what impact you had and what results you have contributed to. Recruiters appreciate when achievements are quantified whether they concern analytics or business.

Publications as a part of your science resume

The publication section is a great addition to technical skills, examples of works, and machine learning. Here a data scientist can show recruiters that he is able to render science ideas in a clear manner.

Publications include not only complex works in scientific journals but also blog posts or articles on a university website.

Improving resume with the help of certifications

Recruiters hiring you will surely appreciate it if you are a certified data scientist. Devote a separate resume section to a list of credentials. For example:

  • Cornell Data Analytics Certification;
  • Google Certified Professional Data Engineer;
  • Harvard University Professional Certificate in Data Science;
  • Dell EMC Data Scientist Advanced Analytics Specialist;
  • HDP Data Science and others.

Writing tips for a great data science resume

Experience and education section, resume objective, contact information – these sections show skills of a data scientist and aim to grab the attention of a hiring manager. Want to create an outstanding scientist resume? Read the tips below!

1. Write a killing summary

Just imagine: you see a job description that meets your technical skills and you are certified enough to apply for that data scientist position. It’s the right time to craft a monster career objective! By the way, it will also help entry level scientists, who lack data science experience.

In this resume section hiring managers should see not only your data skills like python or machine learning but also why you are so passionate about science! Tell the story and make your voice heard.

2. Add active verbs

Data scientists may not be good with writing but science resumes should still be readable and interesting. Such a resume indeed attracts more attention and a Ph.D. computer specialist may lose to an entry level scientist simply because of a thoroughly crafted resume.

Include action verbs to your science resume that will show you are motivated, active, and know what you want! These verbs are a great way to render your learning and technical skills, data mastership, and of course personality.

3. Stick to technical slang and quantify the results

Start creating a great data resume with a list of numbers and terms that would show the hiring committee you possess a solid knowledge in the area.

With the help of such data your resume will show that you are a certified and experienced data scientist and have outstanding achievements. Quantify results of your data science practice and the job will land in your pocket!

4. Emphasize your technical knowledge

There is no better way to support your career objective than to emphasize the technical section resume. Here you need to indicate data on the technical skills you possess. They include experience in programming languages like python, mining programs, as well as work experience with different databases and machine software.

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