Data Scientist Resume Examples, Templates & Samples | 2024

Data scientists will be in high demand in 2024. But it’s also one of the most analytical, results-oriented, and numerically demanding. You’ll be well on your way to a successful job as a data scientist if you can demonstrate that on your resume. To give you some inspiration for what to write in your data science resume, here are five sample data scientist resumes. As you embark on your journey to become a data scientist, your resume becomes your passport to success, opening doors to exciting opportunities in this rapidly growing field. In this blog, we’ll guide you through the art of crafting a compelling data scientist resume, combining industry expertise, key factors, and a touch of data-driven magic to help you stand out from the competition.

According to a prediction by IBM, there are 2.3 million Data Science Jobs in the US, and this number is said to grow by 28% in 2023. 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 resume will vary depending on the job role and hiring company. However, a few common data science skills are consistent across various job roles. 

Data Science Resume Templates

Data Science Resume For Fresher Template

Data Science Resume For Experienced Professional

How to Format a Data Scientist Resume

Choosing the correct format for your data scientist resume is essential because it will help you showcase the skills that you wish to. One of the commonly used resume formats is the reverse chronological resume format. This format allows the recruiter to immediately see what value you are offering. The latest work experience is listed first. This format is ideal for anyone who has a lot of work experience.

You can follow a functional resume format if you have a weak work history but a strong skill set. It is recommended for individuals who may have a gap in their employment history. You can also choose a combination resume template if you wish to combine the advantages of both the data scientists’ resume formats.

Essentials of a Data Science Resume

1. Resume Summary or Objective
2. Work Experience
3. Educational Qualification
4. Certifications
5. Skill set
6. Awards & Certification
7. Projects
8. Publications
9. Languages
10. 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 emphasize 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 skillset. You can highlight all your professional work experience as a data scientist. 

How to show Contact Information in a Data Scientist Resume

The key to displaying contact information on your resume is accuracy. If you display the information in an incorrect manner, a recruiter wouldn’t be able to contact you. The contact information section must include the following –

1. Full Name
2. Title – Data Scientist (In this case)
3. Email ID
4. Phone Number
5. Location (Optional)

Data Science Resume Header 

The header of your Data Scientist Resume should clearly show the job pofile you are working on at present. If you working as a Data Scientist , it should say “Data Scientist” in Bold, make sure the recruiter reviewing your resume clealry understands the job profile you are looking for.

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. Customizing your resume objective or summary according to the company you are applying to can make a big difference. 

Educational Qualification

The education part of the Resume should clearly list your qualification and certification courses completed.

• Bachelors Degree in Data Science – July 2008 – Jan 2011
• Masters Degree in Data Science – Feb 2011 – March 2013

Date of start and end should be clearly mentioned and the degree presued should be mentioned

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

If you have received any awards or completed any certifications, you can also include these in your data science resume.

How to make your Work Experience Stand Out

A recruiter is interested to look into your past work experience. Thus, structuring your work experience in a way that stands out can be helpful in your job search. The best way to list your work experience is to as follows:

1. Position Name
2. Name of the Company
3. Duration (Dates)
4. Roles and Responsibilties

Roles and Responsibilities of Data Scientist

• Data discovery
• Data acquired
• Data cleaning
• Data intergration and storage
• Data investigation and Data Analysis
• Choose potential Models and Algorithms
• Use data science techniques like Machine Learning and Statistical modeling to measure results
• Data is present to stakeholders
• Work on feedback and repeat the same process

Data Science Skills

Hard Skills

• Statistics
• At least one programming language – R/ Python
• Data Wrangaling
• Data exploration
• Data Extraction
• Data Transformation and loading
• Machine Learning Algorithms
• Deep Learning
• Quantitative Analysis
• Mathematics
• Probability
• Debugging

Soft Skills

• Critical thinking
• Research
• Collaboration
• Time management
• Communication

Also Read: How to Improve Your Data Science Skills in 2021

Data Science Resume For Freshers

If you’re a fresher, you may not have a lot of past work experience to show on your resume. In this case, it’s best to highlight the data science skills and projects that you may have worked on. Here is a template that you can download if you are creating a data scientist fresher resume.

Data Science Resume for Experienced

As an experienced data science professional, it is important to showcase your data science skills and past work experience in a way that is easy to read for the recruiter. You can list the tools and techniques that you are well-versed in and ensure that you have a positive impact on the recruiter. If you have over four years of work experience, it is better to account for close to 70% of the space on your resume.

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

Pro Tip: Hiring managers take only 6 seconds to go through the resume and decide to read on further or not.

Key Factors for Landing Your Dream Job

• Showcase Strong Technical Skills: Highlight your proficiency in programming languages, machine learning algorithms, data manipulation, statistical analysis, and data visualization tools. Quantify your experience with specific technologies and frameworks to demonstrate your technical expertise.
• Emphasize Business Impact: Describe how your work as a data scientist has contributed to business growth, improved operational efficiency, or enhanced decision-making. Use metrics and quantifiable results to showcase the value you have delivered in previous

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!

You can also take up the Free Online Resume Building Course on Great Learning Academy and understand more about how to structure your resume and what information to add to your resume.

Check out these data science online courses offered by GreatLearning from industry experts through online mentorship sessions and dedicated career support.