Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Data and analytics

Ericsson Poland · United States

Data and analytics

In order to make our game-changing technology and services excel and evolve, we rely heavily on our world-class Data and analytics talents. In this team, you will work in an innovative environment where you’re challenged to develop analytical methods that constantly improve our business, as well as contributing to technology that truly impacts and improves people’s lives. And it reaches far — from making connectivity more accessible to improving energy efficiency across entire industries and everything in between.

Big data, even bigger responsibilities

Our Data scientists are constantly moving the communications industry forward. Compared to other industries, our teams have the opportunity to work with a vast amount of different data sets, connected to everything from optimizing our network capacity, to improving the way our customers do business.

And if you think you know big data, we’re quite certain it has nothing on what you will see here at Ericsson. In order to optimize our networks around the globe, we need to handle petabytes and petabytes of data under uncertainty, using domain knowledge expertise, along with passion for problem solving to zero-in on what really makes a difference. By working here, you will essentially be fueling insights that lead our entire industry forward.

On the job

As a part of our team, you will be providing thought leadership, performing advanced statistical analytics, and providing actionable business insights, identifying trends and measuring performance that addresses business problems. you will be doing this in collaboration with business and process owners around the world, as well as partnering with engineers to implement and deploy scalable solutions where needed.

Our people

Mayar Hefny, Data scientist

I work on solutions to help make networks smarter and more efficient using data analytics and AI. Ericsson has a great culture, there’s space to innovate and grow and I get to make an impact using the latest technology.

Katarzyna Łuszczak, Data scientist

Since the very beginning, Ericsson has given me several training opportunities, both online and in-class, thanks to which I’ve mastered my existing skills and gained new ones necessary for working in my current projects.

Emmanuel There Fapi, Data Scientist

“Ericsson's footprint reaches everywhere around the world, every single city, every single area. You’ll be impacting the world with your technology.”

Ready to apply?

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