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 .

Senior Data Scientist

nordic · US - National

Make a difference. Be happy. Grow your career.

The Role

​​Nordic, repeat Best in KLAS IT Services Firm and solely serving the healthcare industry, strives to empower healthcare providers to leverage technology and to realize digital transformation. All Nordic staff embrace Nordic’s maxims and mission to serve our customers who care so well for us.

Key Responsibilities

The Senior Data Scientist applies strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The Senior Data scientist should also have some awareness about Gen AI & Agentic AI concepts, and have a point of view on how the traditional data science workflows can evolve harnessing power of Generative AI & Agentic AI. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test and develops efficient and accurate analytical models that mimic business decisions and incorporates them into analytical data products or tools with the support of a cross-functional team.
                                                                                                                                                                                                                             
Essential Job Functions

  • Collaborates with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools.
  • Effectively communicates the analytics approach and how it will meet and address objectives to business partners.
  • Advocates and educates on the process and reasoning for solving problems with data-driven decision making.
  • Leads analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts and developers.
  • Creates repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products.
  • Engineers features by using business acumen to find new ways to combine disparate internal and external data sources.
  • Identifies and develops long-term processes, frameworks, tools, methods and standards.
  • Collaborates and learns with a growing team of experienced data scientists.
  • Stays connected with external sources of ideas through conferences and community engagements.


Skills and Experience

  • Generally, requires a Bachelor's degree and 12 years of related experience or a Master's degree and 8 years of related experience.
  • Masters, Data Science, Computer Science, Engineering, or Statistics (preferred)
    Doctorate, Data Science, Computer Science, Engineering, or Statistics (preferred)
     

Minimum Years of Experience

  • 8+ years' experience in a data science role (required)
  • 8+ years' experience in a data engineering, analyst, or architecture role (required)
  • 8+ years' experience in a data science role (preferred)

Other Knowledge, Skills and Abilities Required

  • Python
  • SQL, Databricks
  • Machine Learning concepts and engineering tools
  • Good grasp of Generative AI and Agentic AI concepts
  • Model deployment and maintenance
  • BI tools (e.g., Tableau, PowerBI)
  • Attention to detail
  • Critical thinking
  • Relationship building
  • Ability to work with technical and non-technical stakeholders
  • Requirements translation
  • Agile work process
  • Continuous learner

#LI-JD1

Nordic is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital or veteran status, or any other protected status under applicable federal, state, or local laws. We encourage individuals of all backgrounds to apply, including women, minorities, individuals with disabilities, and veterans.