7 Entry Level Data Scientist/Analyst/Engineer Resume Templates with Example
This guide shows you how to create an Entry Level Data Scientist/Analyst/Engineer resume that is clear, focused, and easy to review. You will see how to organize evidence, choose strong sections, and compare professional resume formats.
A strong resume for this role should connect technical learning to practical proof. Useful evidence can include statistics, machine learning, data analysis, computer vision, NLP, time series work, software projects, testing, documentation, and clear technical communication.
The same resume is presented in 7 ATS-friendly resume layouts so you can compare reading order, section balance, photo options, and space for projects, education, skills, credentials, and experience.
What Makes a Great Entry Level Data Scientist/Analyst/Engineer Resume in 2026
Strong resumes are easy to scan, evidence-based, and focused on relevant projects, skills, education, and results.
Use clear sections and accurate keywords such as Python, statistics, machine learning, SAS, Tableau, NLP, time series analysis, Java, REST API, Docker, Jenkins, and software development life cycle.
The examples shown below are intentionally detailed to demonstrate a range of experiences, skills, accomplishments and relevant keywords. We prefer detailed resumes as they provide more context to the hiring managers and also help the ATS systems identify relevant qualifications and score your resume better for a match. But the length of a resume is an individual choice. If you want a one page resume, just keep the most relevant experience and information for the job. Note: Resume examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organizations do not imply affiliation or endorsement.
#1 Simple One Column Format Resume Example
A single reading path helps recruiters move from summary through experience, projects, education, and skills without side-to-side scanning.
Why This Format Works
- Linear reading keeps experience, projects, education, and skills in a clear sequence.
- Full-width sections give project evidence and achievement bullets room to stay readable.
- Simple section breaks make credentials and technical strengths easy to locate.
Best For
- Simple recruiter scanning
- Project-heavy early career resumes
- Clear education-to-project progression
- Longer technical bullet points
- Straightforward ATS text order
Resume Keywords
- Python
- Statistics
- Machine learning
- Data science
- Data analytics
- Computer vision
- NLP
- Text mining
- Tableau
- Time series analysis
- Java
- Spring Boot
- Docker
- Jenkins
- REST API
#2 Plain One Column with Shaded Labels Resume Example
Shaded section labels create quick visual stops while the one-column body keeps every resume section in one simple reading order.
Why This Format Works
- Shaded labels separate experience, projects, education, skills, and credentials at a glance.
- One continuous body keeps career and academic evidence easy to follow.
- Strong section cues help reviewers return quickly to key resume categories.
Best For
- Fast section-by-section review
- Resumes with many named sections
- Readers who prefer strong labels
- Balanced project and education content
- Simple content with clearer visual breaks
#3 One Column Format with Photo Right Resume Example
A right-side photo sits in the header while the one-column body preserves a direct path through the main resume sections.
Why This Format Works
- Single-column content keeps experience, projects, education, and skills in order.
- The header photo stays separate from achievement and credential sections below.
- Full-width body space supports readable project summaries and technical evidence.
Best For
- Markets where resume photos are standard
- Direct one-column reading
- Project detail needing full width
- Clear separation between header and content
- Applications requiring visible personal identification
#4 Clean Two Column Sidebar Format Resume Example
A clean sidebar separates supporting details from the main two-column resume body so recruiters can scan core evidence and secondary information efficiently.
Why This Format Works
- A sidebar can group skills and credentials beside the main experience narrative.
- The wider column preserves space for projects, achievements, and career evidence.
- Two-column separation helps reviewers distinguish core history from supporting qualifications.
Best For
- Dense skill and credential sections
- Compact two-column organization
- Main experience with supporting details
- Quick access to secondary qualifications
- Resumes balancing projects and technical skills
#5 Two Column Format Resume Example
Two balanced columns divide resume content into parallel areas, helping recruiters compare primary experience with supporting education, skills, and credentials.
Why This Format Works
- Parallel columns reduce vertical length while keeping major resume categories distinct.
- Balanced space supports both experience detail and compact supporting qualification sections.
- Clear column boundaries help reviewers compare career evidence with education and skills.
Best For
- Balanced primary and secondary content
- Compact resumes with several sections
- Side-by-side category scanning
- Mixed project, education, and skills evidence
- Readers comfortable with parallel structure
#6 Photo Header Two Column Format Resume Example
A photo header adds identity at the top while the two-column body divides core experience from supporting resume details for faster review.
Why This Format Works
- Two body columns separate experience and projects from supporting resume categories.
- The photo remains in the header without replacing space for evidence below.
- Parallel sections let reviewers scan achievements, education, skills, and credentials efficiently.
Best For
- Regions where resume photos are expected
- Two-column resumes with visible identity
- Compact project and skills organization
- Separate core and supporting sections
- Applications with several qualification categories
#7 Simple Two Column Format Resume Example
A simple two-column structure keeps the page compact while giving recruiters separate areas for core evidence and supporting resume sections.
Why This Format Works
- Straightforward columns separate detailed experience from shorter supporting resume sections.
- Compact organization helps reviewers scan projects, education, skills, and credentials quickly.
- Simple section treatment keeps achievements readable without adding heavy visual distractions.
Best For
- Clean two-column resumes
- Compact technical project content
- Distinct primary and supporting sections
- Readers who prefer restrained styling
- Resumes with many short qualification blocks
Why Build Your Entry Level Data Scientist/Analyst/Engineer Resume with ResumeInMinutes
ResumeInMinutes helps you turn coursework, projects, research, technical skills, certifications, and activities into a resume that is easy to scan and simple to adjust.
- ATS-friendly section structure
- Keyword-focused resume content
- Project and research organization
- Technical skills and tools sections
- Free PDF resume previews
- Resume customization support
You can use these formats to present data science, analytics, machine learning, software, research, and academic evidence while keeping the resume focused on the exact target role.
See Also
- 33 Entry Level Data Scientist/Engineer Resume Templates with Example 2026 (ATS-Optimized)
- 33 Entry Level Machine Learning Engineer/Data Scientist Resume Templates with Example 2026 (ATS-Optimized)
- 33 Data Analyst/Engineer - Entry Level Resume Templates with Example 2026 (ATS-Optimized)
- 33 Early-Career Water Resources Engineer / Scientist Resume Templates with Example 2026 (ATS-Optimized)
- 33 Electrical Engineer/Scientist (Ph.D.) Resume Templates with Example 2026 (ATS-Optimized)
- 33 Electrical Engineer/Scientist Resume Templates with Example 2026 (ATS-Optimized)
- 33 Entry-level Environmental Engineer or Scientist Resume Templates with Example 2026 (ATS-Optimized)
- 33 Entry-Level Geologist/Environmental Scientist/Environmental Engineer Resume Templates with Example 2026 (ATS-Optimized)
- 30+ Entry Level Machine Learning Engineer/Data Scientist Cover Letter Templates with Example 2026
- 30+ Data Analyst/Engineer - Entry Level Cover Letter Templates with Example 2026
Frequently Asked Questions
Are these Entry Level Data Scientist/Analyst/Engineer resume templates ATS-friendly?
They use clear sections and readable headings that support ATS scanning. Your results still depend on accurate keywords, clean content, and the employer's ATS.
Are these 7 different resumes?
No. This guide shows one Entry Level Data Scientist/Analyst/Engineer resume in different layouts and design styles.
What should an Entry Level Data Scientist/Analyst/Engineer resume include?
Include a focused summary, education, relevant experience, projects, technical skills, tools, certifications, and measurable or verifiable project evidence when available.
Which keywords are useful for this resume?
Useful keywords may include Python, statistics, machine learning, SAS, computer vision, NLP, text mining, Tableau, time series analysis, Java, Docker, Jenkins, REST API, and software development life cycle.
Can I download the resume templates as PDFs?
Yes. Each resume style provides a PDF preview so you can compare the format before choosing one for your application.
Which layout works best for project-heavy entry-level resumes?
Choose a layout that gives enough space to projects, education, skills, and technical evidence. One-column formats favor simple reading order, while two-column formats can group secondary details more compactly.
Should I include a photo on a U.S. resume?
For most U.S. applications, a no-photo resume is generally the safer choice. Use a photo only when local or industry practice clearly supports it.
Can I customize these resume templates?
Yes. You can adjust the resume text, section order, design style, and PDF format while keeping the content aligned with the Entry Level Data Scientist/Analyst/Engineer role.
