The Entry-Level Data Scientist’s Resume Guide for 2022
Here are our most important resume guidelines we recommend all job seekers follow for a significantly better shot at getting invited for an interview.
Here’s what we’re going to cover in this guide:
- How to properly format your resume for success in 2022
- How to talk about your work experience and personal projects
- How to create a competitive skills section
- How to customize your resume for each job you apply to
Formatting a Entry-Level Data Scientist Resume
Reverse chronological structure: Recent experience first
The reverse chronological structure is the most popular which almost all job seekers should be using. This format means listing out the most recent and relevant things first. It starts with the most recent timeline and you work your way backward, e.g. the latest job position comes first in your work experience section, not the oldest. Structuring your resume this way makes your career timeline more established.
Entry-Level Data Scientist Resume Length
Stick to 1 page.
Most IT Specialists have found that their best shot at landing an offer is by having a one or two-page resume. This includes a collection of sections that cover relevant past experiences. Your resume should be no longer than three pages. The risk of going beyond two pages is including irrelevant content that could distract from your qualifications.
Avoid Common Entry-Level Data Scientist Resume Format Mistakes
1) Resumes must include as much content as possible.
2) Uniform and labeled section headers
When it comes to creating an ATS-optimized resume, it’s good to know how it will be read by the software. Like most human readers, the ATS will read from left to right and top to bottom.
3) Minimal white-space
Key Sections for a Entry-Level Data Scientist Resume
A Tailored Resume Summary
In a competitive field like Entry-Level Data Scientist, hiring managers sometimes review hundreds of applications for a single position. Writing a resume that stands out is difficult, so solve that problem by including a compelling introduction for your resume. Begin your resume with a resume objective, which is a 2–3 sentence paragraph about your job-relevant skills and career goals.
Entry-level Data Scientist with 2 years of experience in Python and R for large scale data collection, analysis and reporting. Proven understanding of predictive analytics with existing tools. Applying for a position at Company A to apply knowledge of data analytics to improve business decision making.
Entry-level Data scientist with 2 years of extensive experience in Java, NoSQL, and Apache Spark. Proficient in web scraping and data cleansing. Proven ability to build and deploy scalable data pipelines. Candidates for Data Scientist role at Company A should possess the following qualities: curiosity, passion for building things, and ability to lead cross-functional teams.
Entry-level Data Scientist with 3 years of experience in Data Science and Data Analysis. Proven ability to implement and test algorithms using SQL and Python. Outstanding writing and presentation skills. Seeking to leverage data lineage to drive product innovation and growth at Company A.
Your Relevant Professional Experience
Employers will want to know what you’ve done in your previous job position to get insight into your skills and expertise. Knowing what you’re familiar with will help them make a decision and to see if you’re more of a good fit compared to the other applicants.
However, you should also be including any positive results you’ve accomplished.
Information Technology(IT) Certifications
Emphasize your credentials. Include mention of all Important Skills for Information Technology (IT) Jobs, Certified Analytics Professional(CAP), Cloudera Data Platform Generalist Certification, Data Science Council of America(DASCA) Senior Data Scientist, IBM Data Science Professional Certificate, Microsoft Certified : Azure AI Fundamentals, Open Certified Data Scientist(Open CDS) or other IT/Programming methods or processes.
Skills for a Entry-Level Data Scientist Resume
Either at the beginning (after the resume summary) or at the end of your resume, insert a tech table that lists the software, hardware, and technical processes with which you are conversant. Be sure to include those that are specifically mentioned in the job ad; these are important “keywords” that will help rank your resume highly when it is scanned by an automated applicant tracking system during its first round of review.
Hard skills like software, tools, and the technical knowledge to interact on websites, developing servers, and databases for website functionality, and coding for different platforms. But don’t forget to include soft skills like teamwork and communication skills, which are necessary to coordinate with a developer, Consultant, Business owner and ui/ux designer.
Here are more key hard and soft skills that look great on a Entry-Level Data Scientist resume:
Hard skills to consider
- Engineering programs: Python, C/C++, Java, Perl, SQL, R, SAS, Hive, Spark, Big Data, Statistics, Mathematics, Deep Learning, Machine Learning, Data Visualization, Processing Large Data sets, Data Wrangling
- Industry credentials: Certified Analytics Professional(CAP), Cloudera Data Platform Generalist Certification, Data Science Council of America(DASCA) Senior Data Scientist, IBM Data Science Professional Certificate, Microsoft Certified : Azure AI Fundamentals, Open Certified Data Scientist(Open CDS)
Soft Skills to consider
- Product Understanding
- Critical Thinking
- Logical Reasoning
IT/Programming Resume Content
Using Metrics to Quantify Experiences
Don’t simply fill your resume with lists of your Entry-Level Data Scientist job responsibilities. To impress the hiring manager, put your experience in context with specific examples and hard numbers that prove you’re an accomplished IT Specialist.
For instance, list how you Implement data structure measures. How you design, develop and maintain computer software also build systems that collect, manage, and convert raw data into usable information to interpret. How you design user interactions on websites, develop servers, and databases for website functionality, and coding for mobile platforms.
Optimizing Resume Content with IT/Programming Keywords
Write the best resume possible by carefully reading the job ad and including skills-based keywords from the position requirements. Many hiring managers use applicant tracking systems (ATS) to filter applications based on resume keywords they write in their job ads. The more Entry-Level Data Scientist –related keywords you can use, the higher the chances your resume gets past the ATS and onto the hiring manager’s shortlist of applications.
The ATS keyword research process doesn’t have to be difficult. In fact, it’s a straightforward process if you’re doing it with Rezi. Our AI Keyword Targeting feature allows you to upload a job description and instantly see which keywords should be included in your resume's content.
Instantly Generate Entry-Level Data Scientist Resume Content
Job seekers can now use AI to create the perfect application with minimal effort. Rezi's AI Writer writes tailored content instantly and prevents writer’s block completely. It’s that simple yet highly effective in helping you get more job offers and interviews faster.
All you need to do is enter a few details such as:
- Experience level
Include A Entry-Level Data Scientist Cover Letter
Many job seekers today overlook the importance of a cover letter. The significant impact it can leave on your recruiters will play its part in the decisive moment for whether you’re going to get hired or not.
To put it simply, cover letters can be your gateway to improving your overall job application and a higher chance of getting the job.
Unless your resume is absolutely perfect with no flaws, why settle for less? A cover letter can greatly increase your odds of getting hired for the company you want to work for, even if it’s a competitive job posting.