Click here to directly go to the complete Entry Level data science resume sample

Is your Entry Level data science resume recruiter-friendly?

Every recruiter looks for the best applicant during any job hiring and they take into account all the things that can help them recognize an applicant's worth.

You may have the years of experience and education required for the targeted job profile but you may be lacking the skills in effectively presenting them in your junior data science resume.

Learn how to write a job-winning resume to make a statement in the job market.

Here is the summary of our Entry Level data science resume Blog:

  • Provide your entry level data science certification on the data science resume.
  • Include the details of data science projects in your resume and quantify your achievements.
  • Write the professional experience section in the single line bullet points.
  • Frame the data science resume in a reverse chronological resume format.
  • Include Kaggle or GitHub profile link on the personal information section of the data science resume.
  • Write the resume summary in paragraph format and start the summary with your years of experience or your data science certification.

Go through our blog and refer to every data science resume example and data science resume sample provided.

Here are the entry level data scientist resume tips to help the best entry level data scientist resume:

You can directly go to our Online Resume Builder and start framing your data science internship resume.

Pick any suitable prefilled template made available for you and customize it accordingly to suit the job profile that you are targeting.

Data Scientist Salary

The salary of a data scientist depends on various factors including place of work, seniority level etc.

Here are a list of data scientist salaries based on cities:

Build your Entry Level data science resume using a suitable resume format

Your junior data science resume may get rejected despite containing the right details because if it does not get past the ATS then your data science resume will not end up with the recruiters.

The right resume format can help your get past the ATS (Applicant Tracking System) used by recruiters during the hiring process.

To hold together your details and particulars, you need to pick the most suitable resume format.


The Chronological resume format is the most suitable one as its approach is time-based and it first highlights your recent profiles that are relevant to the targeted job profile.

With this format, you can give the recruiters an insight into your clear career trajectory and make them recognize your potential.

The reverse chronological resume format is also ATS-compliant and hence makes it suitable to fabricate your data science resume entry level.

Functional resume format can be used by those professionals who tends to change career often and has gaps in their professional experience timeline.

The main focus is given to the skills of an applicant and may hence fail to intrigue the recruiters experience-wise.

It is not ATS-friendly which makes it inconvenient to frame your data scientist entry level resume using this format.

You can opt for the Combination resume format if you have vast experience in your field of work.

This resume format allows you to broadly highlight your skills as well as describe your work experience.

Before you start writing a resume make sure to choose the right resume format that is suitable according to your work history.

Organize your Entry Level data science resume by including distinct sections

An ideal resume should contain all the distinct sections that can make the resume ATS-compliant as well as recruiters-friendly.

The following is a list of the traditional resume sections that need to be included in every ideal resume:

  • Header
  • Personal Information
  • Profile Title
  • Summary/Objective
  • Key Skills
  • Professional Experience
  • Education

You can provide the details of the following to further intensify your worth as a suitable candidate for the targeted job profile:

  • Certifications (if any)
  • Awards & Recognition (if any)
  • Additional Information (if any)

Hiration's Guide to sections in a resume can help you understand more about the importance of including the right resume sections.

Creating the perfect resume is just a click away so make sure to visit our [Online Resume Builder]( today!

Optimize the header section of your Entry Level Data Scientist Resume

The topmost section of your data science resume is an ideal segment to label your resume and provide your personal information.

Entry Level Data Scientist Resume: Header

Your junior data science resume needs to be labeled with your name to distinguish yourself from the other applicants who are applying for the same job profile as you.

With your name as the resume header, it will be easier for the recruiters to monitor your data science internship resume.

Do not waste your time and precious space in your data science projects for resume by writing "Resume" or "CV" because there is no point mentioning what you are evidently framing.

Instead, stick to framing your name as the resume header and maintain its unique identity.

Simply follow the given tips to frame a flawless resume header:

  • Write your resume header in the largest font size.
  • Use 16-20 font size.
  • Leave a single space between your first name and last name.
  • If you have a middle name, write only the initial of your middle name followed by a period and leave it between your first and last name.

Try and learn more about writing the perfect resume header before you start framing your data science resume header.

You can refer to the given entry level data scientist resume sample showing how an ideal resume header should be framed:


Entry Level Data Scientist Resume: Personal Information

Communication is very important between you and the recruiters during the hiring process so make it a point to always provide your contact details in your data science projects for resume.

You should provide the following details in an ideal personal information section of your data science resume:

  • Updated Contact Number
  • Professional Email Address
  • Current Location
  • GitHub/Kaggle link

Hiration Pro Tip: you can also provide the link to your social profiles like LinkedIn so that the recruiters can get in touch with you.

Updated Contact Number: While giving out the contact number you need to make sure that it is correct and active so that the recruiters can easily reach you.

Some recruiters may want to interview you over the phone or simply call you up to get a confirmation for any face to face meetings.

Tips to write the contact number on data science entry level resume:

  • Always mention your personal number, not your parent's or someone else's.
  • Write the country ISD code in front of your contact number and use a plus(+) sign before the ISD code
  • Give a single space in the middle of the phone number.
  • Example: +1 28372 83947

Professional Email Address: Email is an effective and efficient means of communication between you and the recruiters.

Avoid giving out any email address that has a made-up name because it is not considered professional. Your email address should always have your real name.



Current Location: If you are considering a job in some other country other than yours then you can mention your location as city, country code

Else simply mention your location as city, state code.

There is no need for you to mention your personal home address in your entry level data science resume template so make sure that you avoid unnecessary details like your house number, street name, etc.

GitHub Link

As an entry level data scientist, the candidate must have experience in conducting academic project. This projects gives a glimpse of the candidate's skills to the hiring manager.


We have compiled more about this section in our Guide to composing your contact information so go ahead and give it a read.

You can refer to the personal information section illustrated in the below-given data science resume sample:


Waste no time and visit our Online Resume Builder to create the perfect job-winning data scientist entry level resume.

Entry Level Data Scientist Resume: Profile Title

Do not listen to what others say about magnifying your profile title in your junior data science resume or senior data science resume.

Your profile title is the representation of your professional status in a resume and needs to be accurate at all times.

The profile title in your data science resume can communicate the following facts to the recruiters:

  • Your current designation.
  • Your functional industry.
  • Your level of professional seniority.

Here is what you need to do while framing your profile title in a resume for data scientist:

  • It should be the second-largest text in the resume after your resume header.
  • It should ideally be framed in the 14-16 font size.

Here is a snapshot of an ideal profile title from our entry level data scientist resume template:


Perfect the professional experience section of your Entry Level Data Scientist Resume

The professional experience section is one of the salient features in your data science projects for resume.

Describe your previous work experience to the recruiters through this section and make them conscious of your professional background.

But you need to do it in such a way that your entry level data science resume with no experience gets past the Applicant Tracking System while making the recruiters acknowledge your capabilities.

You can write this section effectively if you read and implement the resume tips for entry level data scientist discussed below:


Framing Points: There is no way for you to write your whole resume in paragraphs especially the work experience section.

You need to break down your work record in one-liner entry level data scientist resume points so that it will be easy for the recruiters to read and understand your work descriptions.

Action-oriented sentences will make more sense than a paragraph so make sure to use bullet points and frame crisp one-liners to describe your work history in a resume.

Power Verbs: Suitable power verbs can help you have a positive impact on the recruiters through your data science resume.

Simply start every point with suitable power verbs and avoid using repetitive words.

Achievement Figures: The recruiters are always on the lookout for the best. And to be the best you need to make yourself look like one. But make sure that you are what you claim to be in your junior data scientist resume.

Validate your achievements by mentioning any number or percentage that specifies the level or degree of the value you have contributed to an organization.

The purpose of providing achievement figures in a resume is to determine the value that you can contribute to the next organization.

Grouping: What do you do with 10-20 framed points?

Well, you can create different headings and list all the similar points under the relevant bucket.

This way you can easily organize your one-liners and make it easier for the recruiter to read through your work experience section as well.

Highlighting: Once you frame your points and list them under suitable buckets you need to focus on how to hold on to the recruiter's attention.

Simply select words or phrases that throws light into your productivity as a professional through the framed points and bold them.

It can make the recruiters acknowledge your professional involvement in executing the roles and responsibilities assigned to you.

Entry Level Data Scientist Resume Sample for Professional Experience

You should definitely read Hiration's guide on how to compose the work experience in your resume before you start framing the professional experience section.

Look at the ideal entry level data scientist resume example of the professional experience section presented through our data science resume sample given below:


You can get your current resume reviewed for free with our Online Resume Review Service by professionals and revamp it before sending it out for job applications.

Give the educational background details in your Entry Level Data Scientist Resume

A data science resume is incomplete without the education section.

You must provide the details of your educational qualification so that the recruiters can acknowledge you as a qualified applicant.

To be a Data Scientist you need to have a Bachelor's degree in Computer science, Social sciences, Physical sciences, and any relevant field of study. If you have more than a Bachelor's degree make sure to mention the same.

So make sure to provide your academic details in your junior data science resume.

Here is a list of the details that you need to provide in an ideal education section of your entry level data scientist resume:

  • The name of the school/university attended by you.
  • The name of courses pursued by you.
  • The location of your school/university.
  • Dates of your enlistment and graduation dates in the month & year format.

There is an advantage of providing your educational details especially if you are writing an entry level data scientist resume. Your lack of experience can be covered with the educational qualification that you hold.

Go through Hiration's Guide on how to list education on your resume to learn about the education section on a resume in detail.

To further help you get a clear picture of an ideal education section of a resume here is a snapshot of our entry level data scientist resume sample:


Entry Level Data Scientist Resume: Certifications

Get the attention of the recruiters by providing the details of your certification(s).

If you are a certified data scientist, it can have a positive impact on your job application and make the recruiters give you extra credit for your credits.

The certifications section of your data science resume can help you communicate the following details about you to the recruiters:

  • Certification course name.
  • Name of the institute of affiliation.
  • Location of the institute of affiliation.
  • Enrollment and completion date of the course in the month & year format.

Here are a couple of entry level data science certifications:

  • Cloudera Certified Associate (CCA) Data Analyst
  • Cloudera Certified Professional (CCP) Data Engineer
  • Data Science Council of America (DASCA) Principle Data Scientist (PDS)
  • Dell EMC Data Science Track (EMCDS)
  • IBM Data Science Professional Certificate
  • Microsoft Certified: Azure Data Scientist Associate
  • Open Certified Data Scientist (Open CDS)
  • SAS Certified Data Scientist

Read Hiration's Guide to listing certifications on a resume to get a better understanding of this section.

Here is an entry level data science resume example showcasing the ideal certifications section for your data scientist entry level resume:


Entry Level Data Science Resume: Additional Information

There are various details that you can mention in your junior data scientist resume.

For example, if you have the ability to speak or write more than one language you should mention the same in your junior data scientist resume.

Doing so can make you stand out as an applicant who has the ability to communicate with others who speaks a different language.

Or you can also mention any productive hobbies that you practice as long as it is relevant to the job profile that you are currently applying for.

Apart from these, you can always provide the details of any extracurricular activities that you have been involved in to emphasize your experience in creative learning.

Present your Entry Level Data Scientist resume skills on the distinct skills section

The skills section is another important segment of your data science skills resume wherein you can inject suitable keywords that can help your data science resume get past the ATS.

Go through the professional experience section of your best entry level data scientist resume and pick the skills that elucidate your professional caliber.

Avoid cramping up the skills section with phrases as it may affect the effectiveness of your data science skills resume.

The whole point is to make the skills section crisp and make the recruiters recognize your potential as a data scientist.

Another thing you need to do while farming your skills in your junior data science resume is to create separate sections to highlight your technical and functional skills.

Browse through our guide to skills on a resume to learn more about this section.

You can craft the perfect skills section in your data science resume if you follow the tips discussed above.

Here are some of the data science resume key skills:

Key Skills
Data Analysis Data Mining
Predictive Modeling & Analytics Machine Learning
Data Visualization Sentiment Analysis
Text Mining Software Debugging
Programming Project Management

Technical Skills:

Technical Skills
Python R
SQL Java
JavasSript Matlab
Tableau Scikit-learn
Tensor Flow Spark

Here is a data science resume example to help you see what an ideal skills section should look like in a data science resume:


While it is in the hands of the recruiters to decide on your shortlist you can work on the effectiveness of your resume so make sure to visit our Online Resume Builder to build a job-winning resume.

Curate an impeccable overview of your Entry Level Data Scientist resume

The fact that your data scientist entry level resume may never end up with the recruiters to read through remains.

Unless you make your junior data scientist resume intriguing, the recruiters may not read through it and be able to recognize your potential.

To make sure that your job application makes a statement, including an impeccable resume summary for entry level data scientist or entry level data scientist resume objective is an ideal option.

Providing the recruiters with an overview of your resume is the best way to get their attention and make them recognize you as a suitable candidate for the targeted job profile.

Entry Level Data Scientist Resume Summary

A suitable resume summary for entry level data scientist should include some of the distinct professional experience that you have acquired over the years and also highlight your core skills.

Here is a list of all that you should do to compose your resume summary for entry level data scientist:

  • Write your summary at the end of resume-writing as doing so can save you the unnecessary trouble of editing your summary in the end.
  • the highlights of your career mentioned in your summary should be picked from the work experience section of your resume.
  • Unless you have 10+ years of extensive work experience try not to exceed your resume summary to more than 3-4 lines.
  • Include a resume summary only if you have over 3 years of work record.

Refer to the data scientist resume example given below highlighting an ideal entry level data scientist resume summary from our very own data science resume sample:


Learn more about data science resume summaries by reading our guide on writing the perfect resume summary.

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Entry Level Data Science Resume Objective

Give an overview of your data science entry level resume by composing an entry level data scientist resume objective.

First of all, you should include an entry level data science resume objective if:

  • You do not have any work experience.
  • You have less or limited work experience below 3 years.
  • You are a fresh graduate writing an entry level data scientist resume.

It is not for you to ask what the organization can provide you with but rather you presenting whatever values you can contribute towards the next organization.

The ideal resume objective should be able to communicate your willingness to learn from the roles and responsibilities that would be given to you.

While also communicate your suitability for the targeted job profile by highlighting your skills as a professional data scientist.

Here is an extensive guide on resume objectives to help you learn the art of creating an entry level data scientist resume objective.

Our Online Resume Builder is built to help you create the perfect resume that can get you closer to your dream job.

Entry Level Data Science Projects for Resume

Including your academic projects in the data science resume is a good way to attract the recruiter's attention.

It helps the recruiters to gauge your skills and experience and helps you stand out from the crowd.

Here are the steps to write a perfect data science projects for resume section:

  • Give a short project description
  • Mention the tech stack of the project
  • List your roles and responsibilities along with some of the accomplishments of the projects with figures

Project: Readme Analysis | Tech Stack: Tableau, Scikit-learn, SQL

  • Deployed NLP to understand the programming language used in the repo with 89% accuracy
  • Employed an API to transcode the programming language into a read me file for each repo

This is just an example of how a data science projects for resume can be created.

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  • ATS Compliance
  • Global Compatibility
  • Performance Assessment
  • Resume Formatting

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Entry Level Data Scientist Sample Resume

Before we go ahead with more about resume-writing, here is our complete data science resume template to help you understand what an ideal resume should look like:

Edmund Best
Associate Data Scientist
5+ years experienced data science professional and Cloudera certified associate adept at enhancing advanced analytics and conducting operational research to support the go-to-marketing strategies. Possesses diverse experience in executing projects, validating techniques, and gathering requirements as part of ensuring business growth & development. Proficient in cleaning and transforming data to provide data-driven recommendations and conducting statistical analysis to identify performance patterns.
• Data Cleansing & Transformation • Statistical & Data Analysis • Feature Design & Implementation • Solution Delivery
• Machine Learning • Mathematical Programming • Econometrics • Simulation • Requirement Gathering & Translation
• Analytics Enhancement • Operational Research • Project Execution • Technique Validation • Business Development
  • Software & Website: SAS, Google Cloud Analytics
  • Programming Language: Python, R, C, C++
Feline Corporation Ltd.
Start typing, then use the up and down arrows to select an option from the list
    A multinational professional services company with revenue worth USD 43 billion
    Data Analytics Enhancement
    • Enhancing the advanced data analytics for supporting all go-to-market-strategies as part of a 60 member data science team
    • Leveraging expertise in data-driven science in B2B commerce to increase intelligence in the go-to-market functionality
    Operational Research
    • Employing mathematics, statistics, econometrics, and operations research for developing machine learning solutions
    • Contributing to diverse fundamental science research programs for studying human health problems like cancer & infections
    Project Execution
    • Executing independent data science projects with 20 customers for solving specific business problems
    • Administering data science projects for configuring the solutions to maximize value for the customers
    Technique Validation
    • Exploring and validating new techniques to incorporate into price segmentation
    • Participating in the development, validation, and delivery of reporting tools
    Business Development
    • Converting opportunities into product modules that are valuable across multiple industries
    • Conducting technical research while leading and mentoring a team of 10 senior data analysts for business development
    Ansoft Pvt. Ltd.
    Start typing, then use the up and down arrows to select an option from the list
      The world’s largest pure-play Big Data Analytics and Decision Sciences company with a Unicorn status in the US and an employee base of 5k professionals
      Requirement Gathering & Translation
      • Rendered assistance in translating requirements into technical specifications for data and reporting teams
      • Translated requirements into design solutions for 20 business leaders, stakeholders, product managers, and internal teams
      Data Cleansing & Transformation
      • Leveraged quantitative skills extensively to clean, transform & interpret raw data for providing data-driven recommendations
      • Extracted, processed, and analyzed large data to solve the most pressing analytical issues
      Statistical & Data Analysis
      • Performed statistical analysis to identify internal performance pattern & devised data-driven strategies to optimize the same
      • Improved business by 60% by conducting data analysis and executing projects for driving business recommendations
      Feature Design & Implementation
      • Designed, implemented, analyzed, and tested 4 new features to improve the product suite
      • Developed 7 end-to-end business intelligence solutions to advance Power BI functionality and features like Power BI server
      Dashboard Development
      • Crafted and delivered 6 performance monitoring dashboards to track business performance
      • Conceived, built, launched, and maintained 4 dashboards to improve AV operations
      Brisco Ltd.
      Start typing, then use the up and down arrows to select an option from the list
        An American professional services firm headquartered in New York City, NY and revenue worth USD 3 billion
        Solution Delivery
        • Liaised with 10 colleagues from sales, operations, product and finance teams to deliver solutions for improving operations
        • Built 2 reporting and metrics tracking solutions to optimize cash management
        Framework Development
        • Conceptualized frameworks and quantitative models to seize new business ventures
        • Developed 6 dashboards and frameworks to monitor business performance while creating business cases
        • Drafted monthly reports on sales performance including operations & profitability to identify opportunities for improvement
        • Developed 60 reports on client usage and performance prior to contract renewals to suggest best products for client scenarios
        Business Development
        • Formulated and managed 10 execution plans of business intent to monitor results
        • Built strategies and improved the profitability of the network by 10% while solving complex business problems
        Data Translation
        • Interpreted learnings into data pull and visualization for automation while creating metadata specifications for compliance
        • Construed business requirements into proposed data definitions for creating 10 policies as per industry standards
        • Certified Analytics Professional | Marble Academy | Berkeley, CA | Jul '20 - Dec '20
        • Cloudera Certified Associate: Data Analyst | Cloudera | Jan '18
        Eastview University
        Start typing, then use the up and down arrows to select an option from the list
          A public research university in Sparkill, NY with a student base of 45k+ students
          • 3.8/4.0
          • Languages: English (Native) and Vietnamese (Interactive)

          The given data science resume template has been made on our Online Resume Builder.

          You can download our entry level data scientist resume pdf/entry level data scientist resume template from our Online Resume Builder.

          You can visit Hiration's Online Resume Builder and pick any pre-filled template and customize it with your details and particulars.

          Key Takeaways

          Here are some key takeaways from the blog to help you write a job-winning data science resume:

          • Always make it a point to fabricate your data science internship resume in a suitable resume format.
          • Label your resume with your name and provide your personal information in line with the hiring guidelines.
          • Do not miss out on any traditional resume sections while framing your data science resume.
          • Framed points have a higher chance than paragraphs to be read by the recruiters and comprehend your work experience statements.
          • Bold the main points in your statements to get the attention of the recruiters and make them recognize your potential.
          • Provide achievement figures to give the recruiters an idea of what you are capable of contributing to an organization's higher goals.
          • Give an overview of your resume by including a suitable data science resume summary.

          Now that we have reached the end of this blog, do refer to all the data science resume examples and data science resume samples that we have provided in this blog to write a great resume.

          Go to Hiration resume builder and create a professional resume for yourself. Additionally, reach out to us at and you can get 24/7 professional assistance with all your job & career-related queries.