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 Scientist

Ntconcepts · Chantilly, VA

We are seeking a Data Scientist to support disruptive Artificial Intelligence and Advanced Analytics, Mission Advantages, and Digital Modernization in meaningful, creative, visible, and challenging manners to enhance national security. Develop cutting-edge software, leverage Cloud and hybrid infrastructures for AI workloads, and integrate with our Defense and Intelligence clients to understand where our solutions enhance their mission critical functions.  

Mission Focus:  

Data Scientists at NT Concepts help our clients explore new ideas, adopt new technology, develop modern defense approaches, and create solutions to novel problems for our clients with national defense missions.  

Our Data Scientists advance each of NTC’s mission domains by integrating with engineers and national security experts. You will develop and mature advanced techniques, fuse multiple data sources, construct AI workload pipelines, and assess opportunities to leverage domain dominance in contested environments. You will work to enhance the efficacy of computer vision assets in scalable and secure manners to produce mission advantages and adversarial disadvantages for our clients while complying with CMMI and ISSO standards. 

Clearance: Active Top-Secret clearance with ability to obtain TS/SCI preferred.

Location/Flexibility: Primary work location is Chantilly, VA, with additional work in Vienna, VA. Position offers 10–15% hybrid flexibility, though the majority of work will be performed in Chantilly, VA. 

 Responsibilities:  

  • Lead, coach, and mentor teams of Data Scientists and Researchers to adapt to a production-focused mindset and approach 
  • Implement best practices, policies, and procedures to develop a production-focused data science lifecycle 
  • Research, transform, organize, and optimize data for use by machine learning algorithms 
  • Generate representative synthetic data sets for systems development and data science initiatives 
  • Build and secure data pipelines to enable teammates, engineers, and client stakeholders 
  • Collaborate with mission engineers and client stakeholders to define data and modeling requirements 
  • Implement and optimize coding products provided by Software Development and DevOps teams 
  • Advise, design, and deploy data engineering practices and methods on high-performance Cloud and Hybrid architectures 
  • Prepare clear and concise requirements documentation, mission reports, and other deliverables as required by the Program Managers and client stakeholders 
  • Abide be all components of operational security, information security, and client risk management frameworks 

 Qualifications:  

  • 4+ years of applied data research, modeling, evaluation, and deployment to production 
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