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 .

More details

Scienaptic Ai · United States

Full Time

Forward Deployed Engineer

United States

As a Forward Deployed Engineer in Scienaptic AI, you'll play a crucial role in collaborating directly with clients, understanding their needs, and actively participating in the design, implementation and support of customized solutions on Scienaptic’s platform. This immersive experience offers you the chance to be at the heart of financial technology, contributing to projects that enhance access to credit. In this highly visible position, you'll provide essential technical support, tackle various challenges, and maintain vital documentation. Additionally, by keeping pace with evolving financial technology trends, you'll contribute innovative ideas and solutions

Responsibilities

  • Participate in the implementation process, aiding in the integration of our solutions into client settings

  • Provide technical assistance and contribute to problem-solving during deployment and integration phases

  • Solve technical challenges and client issues with hands-on investigation and client calls

  • Identify and address technical challenges encountered during product implementation

  • Collaborate with product implementation, data science and engineering teams to build tailored solutions

  • Assist in creating and updating technical documentation to streamline client onboarding and system maintenance

  • Pick up and understand unfamiliar financial processes at breakneck speed

  • Be willing to travel up to 25% of the time to client site

  • Flexible with working time to accommodate clients and team members across timezones

Skills & Competencies

  • Bachelor’s degree in Computer Science, Engineering, or a related field 3+ years of relevant, post-college work experience

  • Strong proficiency in programming languages such as Python, Java, TypeScript/JavaScript, or similar and NoSQL data analysis

  • Good knowledge of AWS

  • Eagerness to collaborate and ability to engage confidently with clients

  • High obsession for Quality and Performance

  • Excellent communication and interpersonal skills; ability to work independently and as part of a team

  • Experience of working with banks and credit unions is a positive

Scienaptic is the world's leading AI powered Credit Underwriting platform company. Designed by seasoned Chief Risk Officers, its platform is creating industry leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%) with all the regulatory explain ability. Last year alone, we have helped financial institutions evaluate 45 Million consumers and offer credit to over 15 Million. Scienaptic clients include Fortune 100 banks, community banks and FinTech’s.