Data Scientist jobs have seen a 650% increase since 2012 and this trend shows no signs of slowing down. According to the U.S. Bureau of Labor Statistics, data science skills demand will rise by 27.9% in 2026, making Data Scientists one of the most sought-after professionals.
If you’re a Data Scientist and you love to solve intricate problems, you also need to have an impressive Data Scientist Resume close at hand, just in case the competition for the elusive role increases double-fold. HiCounselor is here to guide you through the steps you need to take to create the perfect Data Scientist Resume that will get you solid results.
Of course, if you need personalized assistance in building your Resume Summary, HiCounselor can help you get started on the right track. Click on the link below for unlimited access to HiCounselor’s Resume Builder where you can accelerate your employment search and make use of pre-written examples to pep up your Resume Summary. Click here to build your Resume
Getting Started
A resume is a tool that can help you land an interview and also a lucrative job role. Resumes may also be used as reference documents by the hiring team during the interview stage. In order to conjure up a near-impressive resume for a Data Scientist, you should give a summary of your experience, skills, accomplishments as well as how you got where you are now in your career path. Simply put, your resume tells the story of your career in an organized and concise format.
Planning that Perfect Data Scientist Resume
Your resume should highlight your achievements and accomplishments in such a way that it gets noticed. These are some of the steps you should follow before you begin writing your resume.
Find out more about the company
Your resume should be specific to the job and company for which you are applying. To get a better understanding of the mission and work of the company, visit their website and follow them on social media. Consider how you can bring value to the company as a Data Scientist. Also, make sure to carefully read the job description. You will need to highlight the data science skills required for the Data Scientist position. This will help you to show your value to the hiring manager.
Craft your elevator pitch
An elevator pitch is a short summary of your qualifications and why you are a good candidate. Make sure you refer to your pitch as you create your Data Scientist resume. This will help you to prioritize your data science skills and achievements.
Use a clean, clear template
Employers and hiring managers will be able to quickly scan your resume template. Although you have the ability to be creative, it is best to stick to a basic resume design that is not too distracting from your resume's core content. Use plenty of white space, consistent formatting and proper headers.
Demonstrate your data science skills.
Think about the data science skills you have and the projects you have done that are most relevant to the job for which it is being applied. These skills should be highlighted in your resume. Choose projects that showcase your technical data skills and how you solved a problem. Make a list of the skills, programming languages, and tools that were used in each project.
Drafting the Data Scientist Resume
Once you have completed planning, it is time to start drafting your Data Scientist Resume. Here are some best practices to remember when you start writing.
Keep it short: A data science resume should not exceed two pages. Employers might be reviewing hundreds upon hundreds of applications. Therefore, only include the most relevant data science skills and experience. Resume templates and professional resume formats are great tools to keep important information under the page count. Bullet lists are a great way to keep your resume organized and easy to understand.
Use action verbs: Simple, purposeful action verbs are useful to highlight your achievements and explain how you contributed to a project or team. Some examples of action verbs are: built, solved, accelerated and reduced, and launched. Instead of using generic adjectives, use numbers and key metrics. Use concrete metrics and examples to highlight your accomplishments. Employers will be able to see the value that you bring to their organization if you quantify your achievements.
Make specific statements about your accomplishments: These statements are a description of what you have done in your career. The following is a general outline of data science accomplishment statements: Action verb + task = result Example: "Developed new forecasting tools that increased efficiency of the company by 50%."
Do not bury the lead. Highlight your most relevant and important experiences at the top section or heading. Highlight your past projects. Include relevant work and data science projects in your resume to highlight your skills and make yourself stand out. If you don't have much experience, project work can be very useful.
Reduce the amount of jargon in your resume: While you should include pertinent keywords, it is important not to overload your resume with jargon. You may not have the technical background of some Hiring Managers, so ensure they are able to understand your achievements.
Proofread and edit: Make sure to do a thorough grammar and spelling check. Employers will appreciate your attention to detail and thoroughness. It is a good idea to have a second set of eyes review your resume.
Creating an Outline for your Data Scientist Resume
Make sure you include these sections while creating an outline for your resume.
Profile: Your data science resume will stand out if you have a strong profile (also known as a summary or an objective). Your profile should tell a story. Your profile should include a short description of why you are the right person for the Data Scientist position. Explain why you are changing fields.
Your achievements: Focus on your achievements rather than the tasks and responsibilities when listing data science projects or experience. Use metrics and numbers to quantify your achievements whenever possible. You could change the phrase "Forecasted company revenue" to "Used predictive analysis to forecast company revenue with a 95% accuracy rate."
Education: List your most recent educational accomplishments. In order to be considered for the Data Scientist position, list any post-secondary degrees. Your degree type, major/minor and school name should be included, along with the date of graduation. List any certifications or courses you have earned outside of college. Highlight relevant coursework, academic achievements and scholarships.
Projects: Include the title, link and your role in the project. Give a brief description of the project, including any relevant programs and skills.
Skills: List your most relevant technical skills first. Match your skills to the requirements of the job by reviewing the job description.
Extras: Other sections may highlight additional accomplishments that make yourself stand out. This section could include publications, awards, publications, interests, participation in hackathons, and other accomplishments. These are great examples of your passion as a Data Scientist.
Skills to Include in a Data Scientist Resume
Your data science resume should highlight technical skills relevant to the job you are applying for. It is a good idea to list all of your data science skills, including any tools and software. Then, go through the job description and highlight any skills required for the position. List skills that are similar to the job description on your resume. If you feel that your skills are relevant or helpful, you can add them to your resume.
Data Scientists have some of the most valuable skills in the following areas:
Technical data
Data analysis
Data wrangling
Data modeling
Statistics
Data visualization
Programming
Quantitative analysis
Machine learning / Machine learning models
Data mining
Debugging
Hypothesis testing
A/B tests
Regression
Data tools and languages
R, Python, C / C++, C#, HTML, Java, JavaScript, PHP
SAS, SQL, Scala, MATLAB, SQL Server, NoSQL, Hadoop
OpenRefine, TensorFlow, Cloudera, Tableau, Microsoft Excel
Octave, Spark, PowerBI, Plotly, Bokeh, Matplotlib, Seaborn
Keras, Pytorch, AWS, Hive
Resume Summary Suggestions for a Data Scientist
Data Scientist familiar with the gathering, cleaning and organizing of data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in [Area of expertise].
Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on the latest machine learning advancements. Ready to combine tireless hunger for new skills with a desire to exploit cutting-edge data science technology.
Innovative Data Scientist with [Number] years of experience in analytics and success in credit risk management, digitization and customer relationship management. Highly accomplished in influencing decision-makers and driving profitability across multiple divisions, including banking credit risk, debt collections, customer relationship management and digitization. Eager to bring expertise to a growing organization in a challenging new role.
Veteran data science professional experienced in identifying opportunities and strategizing methods for improvement. Detail-oriented, methodical and enterprising with a strong focus on devising and running effective processes. Proficient in [Software] and [Software].
Work Experience Recommendations for a Data Scientist’s Resume
Created data visualization graphics, translating complex data sets into comprehensive visual representations.
Presented data science findings to peers, illustrating progress made during various tasks.
Coached, developed and motivated team members, providing coaching and mentoring to junior data scientists on SAS and data mining techniques.
Designed and automated more than [Number] innovative digitization and online marketing report tools and dashboards based on key performance indicators for different management levels, leading to increased transparency and sales performance.
Performed topic modeling with LDA using genism to find [NUMBER] relevant topics in climate debate from Television, Parts of Speech and [NUMBER] word snippets
If you need personalized assistance in building your Data Analyst’s Resume, HiCounselor can help you get started on the right track. Click on the link below for unlimited access to HiCounselor’s Resume Builder where you can accelerate your employment search and make use of pre-written examples to pep up your Resume.
HiCounselor has forged technical advances to transform the hiring landscape for job seekers and recruiters alike. Our career accelerator program provides job seekers with coaching and mentorship from industry leaders employed at FAANG companies while recruiters ally with HiCounselor to empower their hiring strategy and hone in on the best candidates. Learn more about HiCounselor here and reach out to us on LinkedIn, Facebook and YouTube.
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