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 .

Consumer Insights, Senior Researcher, RoAPAC

Netflix · Singapore, Singapore

Singapore,Singapore

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

At Netflix, we are shaping the future of entertainment because we believe there is a better way to watch. Like our customers, we love movies and TV shows and we want the world to experience the joy of entertainment wherever and whenever they want.  

To succeed at promoting our exclusive, original content, we need an unparalleled level of consumer insight to understand what motivates these ‘must watch’ entertainment moments and to create a desire to join Netflix.

In this role, you will lead projects that guide the direction of the business and execution of tactics within South East Asia, Australia/New Zealand, and Taiwan/Hong Kong. A deep understanding and proven track record of working across these markets is critical for success in this role.

A background in entertainment research (TV, film, advertising) is strongly preferred as it provides the unique perspective this lead researcher will need.
 

We seek an individual who:

  • Can flourish in our unique company culture

  • Has spent time living and working in APAC (preferably covering SEA, ANZ, and TW/HK), whilst in a senior researcher role (ideally 10-15 years of experience)

  • Has a depth of experience in developing strategic insights to inform content, product, marketing & brand decisions

  • Has worked with and has the ability to interface and maintain work and relationships with different departments - Content, Product, Design, PR, social, creative - and managing different levels and types of interactions with these stakeholders.

  • Thrives on wanting to know why consumers act and feel the way they do and can transform their findings into recommendations that will drive and support strategic decision making that drive the business forward

  • Has a strong voice in setting strategy and identifying new directions

  • Has significant experience in designing research projects to proactively answer business critical questions

  • A master of primary research (experience in secondary and foundational data/metics knowledge is also helpful)

  • Is keen to roll up sleeves and be hands-on

  • Is as confident in qualitative research techniques as in quantitative, and understands the different applications of each to select the right methodology for the right questions

  • Great eyes for prioritization - knows when to pursue a research project and when to push back

  • Enjoys autonomy, yet hates working in silos

  • Ability to build strong relationships with cross functional stakeholders

  • Deep business acumen and ability to adapt and adjust to an ever changing and complex environment

  • Fluent English speaker, and a regional language preferred - Thai, Bahasa Indonesia or Tagalog
     

Essential qualifications:

  • Significant consumer insights experience, preferably within the entertainment or tech industries 

  • Have worked in a fast paced environment, and as part of a globally distributed team

  • Experience in both qualitative and quantitative types of research - comfortable with the both equally, and with deep collaboration with analytics and data science

  • Be ready for an all-embracing thrill ride in a unique space where what we say really matters

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.