A Data Scientist CV is very different from the traditional CV. You’ll need to show your employers how you are qualified for the position and why you’re suited for it. The good news is that with a little bit of research, you can find a resume that will help you land your dream job doing what you love!

Data Scientist CV Example:

Data Scientist CV Writing Guide:

Step 1: Find Your Expertise

First, think about the type of Data Scientist role you are applying for. Think about your skills and interests that make you a great candidate.

Step 2: Customize Your CV

Now that you have your expertise, you’ll need to tailor a resume to show off your experience. There’s no need to re-enlist all the jobs in your past when there is an easier way! Create a template resume that can be modified with each job you get. A template resume is a variation of a basic resume that can be reused easily. This will save you time, and give you more time to do things that are much more fun than updating your CV!

Step 3: Get Your CV Noticed

When you’ve got your CV completed, it’s time to market yourself. In this stage, your CV will have to stand out from the crowd. When you advertise, you’ll want to focus on keywords that match your experience and skills. Use a keyword analysis tool [1] to help find these matches. Here are some examples of what you can include in your data scientist cv:

Data Scientist CV Objective:

Demonstrate your skills and experience in computer science and the ability to perform data analysis using an array of industry-standard tools.

List and briefly describe the names of data analysis tools that you have experience with, including their versions, operating environments, installation methodologies and minimum systems requirements (if applicable).

Describe a data analysis project you worked on? This can be a job applied to in school or research project from college or university.

List Your Experience on Data Scientist CV:

  1. Don’t cram everything onto one page

When you write your CV, remember that recruiters are very busy. You need to make sure that you only include the most relevant experience and skills that are going to be relevant for the role that you are applying for. Don’t make your potential employer sift through pages of irrelevant information such as your attendance record at high school or college or every internship that you have had since graduation.

  1. Make sure that your cv is accessible

Don’t make potential employers hunt for information about you, make sure that your CV is clear and easy to read. Include relevant keywords in your CV to make it easy for recruiters to quickly find the information they want, and use bulleted lists or headings to differentiate between the different aspects of your career so far.

  1. Use relevant information

Make sure that you include things that are relevant to the role that you are applying for. Don’t just add anything from your career history just to fill space, make sure that it has some relevance to the position. For example, if you have worked on a project related to the role that you are applying for, then include it! It will impress the recruiter and may help get you invited to interview!

Top 15 Skills on Data Scientist Skill to list in Your CV:

  1. Data Mining
  2. Data Preparation and Clean Up
  3. Statistics/Analytics
  4. Computer Science, Algorithms, Theory and Logic
  5. Modeling/Simulation
  6. Linear Regression
  7. Machine Learning (e.g., Logistic Regression)
  8. Visual Analytics, Data Visualization(e.g., Tableau, QlikView, R)
  9. Database/Business Intelligence (e.g., JDBC, SQL)
    10 Machine Learning (e.g. R, SAS, SPSS)
  10. Software Development (e.g., Java, Python)
  11. Cloud computing/Big Data (e.g., AWS, Azure HDInsight)
  12. Predictive Analytics/Machine Learning(e.g., Rbase RStudio)
  13. Operating Systems (e.g., Linux Ubuntu)
  14. Programming languages (e.g. SQL, Java, C/C++)

Data Scientist CV Profile:

I’m a Data Scientist who’s honored to be a part of the data-driven world. I work on how to make sense of our universe. Every day, I connect dots and explore the meaning behind them.

I’m looking for an opportunity that will ignite my passion for data science and help me thrive in the fast-paced world of Big Data.

My goal is to use data to help other people learn, grow, and succeed. I’ve developed a unique vision of how to use data science to solve problems. I’ve led multiple projects, working closely with both data engineers and business stakeholders.

Data Scientist CV structure & Format:

  1. A one-page cv (maximum)
  2. A simple, clean layout
  3. A header that describes the job ad you are going for and your name
  4. Each section starts with a header (eg. Education, Skills), followed by detailing your position, company and dates in bullet points for each section
  5. The first bullet of the Skills section should be “Computer Skills” and have a list of all your technical skills
  6. The second bullet of the Skills section should be “Technical Certifications”, and show any official certifications you have for your technical skills (like Microsoft Office Specialist, Linux Certification, etc.)
  7. The third bullet in the Skills section should be “Professional Certifications”, and show any industry certifications you have for the IT field (i.e. Big Data certification)
  8. The fourth bullet of the Skills section should be “Programming Languages”, and have a list of all your programming languages
  9. The fifth bullet of the Skills section should be “IT or Business Skills” and have a list of all your IT or business skills that don’t fit in the other sections
  10. The sixth bullet in the Skills section should be “Other”, and have a listing for any other skills you want to add to your cv.

Key Takeaways:

  1. Be specific with your job titles and company names. Though it may feel like a cliche, starting off with “humble” every time you are describing your skills is not recommended. State the facts – if you’re amazing at what you do, go ahead and state it through “key takeaways” section!
  2. Your CV is the first impression holder for your application. A clean and neat look would go a long way in making sure that the employer will be in awe of your credentials and qualifications.
  3. Use a CV builder, online or downloadable. If you don’t have any info about what types of jobs you’re applying for, then it’s up to you to bring your own creativity and do something that would stand out to the employers.
  4. Your CV is an opportunity to show off what makes you amazing at what you do. Make the most of this!

Published by David