Check Your Resume Before You Apply

Most employers use software (an ATS) to read and rank resumes. See your score and fix it. Free, no signup to check.

Sustainment
Data Scientist
Austin, Texas, United States

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How it works

Key Takeaways

  • Automated hiring systems can screen or route resumes before human review; ResumeGeni treats ATS scoring as parser-readiness triage, not a hiring prediction (Harvard Business School & Accenture).
  • The most common ATS-readiness problems are missing keywords, incompatible formatting, incomplete fields, and incorrect file types
  • ResumeGeni scores parseability, structure, contact fields, content completeness, skills, and keyword signals, then explains the evidence behind the score

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 use that data in search, review, and matching workflows. Parsing gaps can make a qualified candidate harder to evaluate.

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 signalsJob-specific terms, skills, certificationsKeyword overlap can affect recruiter search visibility and resume-review workflows
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 extraction means important fields may need manual review

What ResumeGeni Checks Before Keyword Matching

Keyword matching only helps after the resume can be read cleanly. ResumeGeni starts with parser-readiness signals before it evaluates wording, skills, and role fit.

  • Readable text: whether the uploaded file exposes selectable text instead of only a scanned image.
  • Standard resume structure: whether contact, summary, work experience, education, and skills sections are easy to identify.
  • Field extraction: whether names, email addresses, phone numbers, employers, titles, dates, degrees, and skills can be mapped into stable fields.
  • Format risk: whether tables, columns, text boxes, decorative icons, headers, footers, or unusual bullets could interrupt parsing.
  • Evidence quality: whether experience bullets include scope, tools, metrics, and outcomes rather than generic duty lists.
  • Keyword coverage: whether relevant tools, certifications, industry terms, and role-specific phrases appear naturally in the resume.

What Your ATS Score Means

The score is a diagnostic signal, not a hiring guarantee. A high score means ResumeGeni can extract and evaluate the resume with fewer warnings. A low score means the resume likely needs structural fixes before keyword tuning matters.

Score RangeReadBest Next Action
90-100Strong parser readiness with few visible gapsTailor keywords and achievements to the target role
75-89Generally readable, but some sections or evidence may be weakFix warnings, add measurable achievements, and tighten skills
60-74Important content may be missing, vague, or hard to mapRepair structure before rewriting bullets
Below 60Parsing or completeness issues are likely holding the resume backMove to a cleaner format and rebuild core sections first

What To Fix First

Start with problems that prevent a system or recruiter from reading the resume. Save small wording changes for after the structure is clean.

PriorityFixReason
1Use a text-based PDF, DOCX, or plain text resumeImage-only files and corrupted exports cannot be reliably parsed
2Use one column and standard headingsPredictable structure improves section and field detection
3Put contact information in the body, not only the headerSome parsers ignore header and footer regions
4Replace vague duties with quantified achievementsSpecific outcomes help both recruiter review and scoring evidence
5Mirror role language truthfullyRelevant keywords help search and review without keyword stuffing

How To Use the Score Without Overfitting

The best use of an ATS score is triage. Fix problems that make the resume hard to parse or hard to evaluate, then stop when the document is clear. Do not chase a perfect score by adding keywords you cannot defend in an interview or by turning every bullet into a list of tools.

Checker signalGood correctionCorrection to avoid
Low parse confidenceMove to a single-column layout, standard headings, and selectable text.Adding more keywords before the resume can be read cleanly.
Weak evidence bulletsRewrite duties into scope, action, tool, and measurable outcome.Inflating impact numbers or copying sample bullets that do not match your work.
Missing role termsAdd truthful tools, certifications, patient loads, stack details, or workflows from your experience.Keyword stuffing a skills section with technologies you have not used.
Thin company fitCompare the resume with the target role and company application guide before applying.Submitting the same generic version to every employer.

Methodology And Limits

ResumeGeni checks format, extraction, content completeness, and keyword signals from the uploaded resume. It does not certify that every employer ATS will parse the file the same way, and it does not predict whether a recruiter will interview you.

For the scoring rubric, privacy notes, and limitations, read the ATS Resume Checker Methodology. For the broader source map behind ResumeGeni guidance, use the research hub and dated research data dashboard. For application context, use the exact company application guide or role guide that matches the job.

What the Checker Can Diagnose

Treat the ATS resume checker as a document-readiness diagnostic, not a hiring prediction. A useful check should tell you whether the resume text can be extracted, whether the major sections are recognizable, whether contact fields are present, whether bullets contain evidence, and whether role language appears naturally enough for a reviewer to understand the match.

Diagnostic areaWhat ResumeGeni looks forBest correction
Text extractionSelectable text, readable file structure, and parser confidence.Use a text-based PDF, DOCX, or pasted text version before changing wording.
Section recognitionStandard headings for contact, summary, experience, education, skills, projects, and certifications.Rename creative headings to conventional resume sections and keep content in the document body.
Evidence qualityBullets with scope, action, tools, and measurable outcomes rather than generic duties.Rewrite the most recent role first, then work backward through older experience.
Role alignmentTruthful keywords, credentials, systems, technologies, and responsibilities that match the target role.Compare the resume with a role guide and a real posting before adding or removing terms.

Pair the Score With a Role Guide

An ATS score is the starting point. After the resume is readable, compare it with the role you are targeting so your skills, bullets, and keywords match the actual posting without keyword stuffing.

Resume pathUse this guide when the checker flagsBest next page
ClinicalMissing license, certification, patient-load, unit, EHR, or care-outcome evidenceRN resume guide
TechnicalThin stack detail, unclear shipped features, missing testing, deployment, or performance evidenceFull-stack developer resume guide or Android developer resume guide
PortfolioCase studies, client scope, shipped work, project outcomes, or collaboration signals are too vagueProduct designer resume guide or Freelancer resume guide
People operationsHRIS, compliance, hiring, retention, employee-relations, or policy examples are missingHuman resources manager resume guide

Where This Checker Fits in the Application Path

Use the checker as a diagnostic gate between drafting and applying. It is strongest when the next action is specific: fix parsing risks, rewrite vague bullets, add missing role evidence, or compare the resume against a real posting. It is weaker when treated as a hiring predictor or a substitute for role judgment.

Signal from the checkerBest next pageReason
Formatting or parsing warningsATS compatibility methodologyReview the scoring categories and limits before changing the file structure.
Weak or generic experience bulletsResume guides by job titleFind role-specific examples and replace duties with evidence, scope, and outcomes.
Missing tools, systems, or certificationsSkills guides by job titleCheck which skills belong in the resume and which should appear only when truthful.
Company-specific application concernsCompany application guidesCompare employer context, ATS signals, and open-role language before final tailoring.

Sources Used For This Checker

ResumeGeni's checker combines product analysis with public resume-writing, occupational, and structured-data references. These sources inform parser-readiness guidance; they do not certify that any employer or ATS vendor will score a resume the same way.

Frequently Asked Questions

Is ResumeGeni free?
Yes. 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 parsed into structured fields such as contact information, experience, education, and skills. The score reflects how cleanly ResumeGeni can extract those fields plus format, content, and keyword signals.
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.

Preferred ATS Checker Resource Spine

Built by ResumeGeni. Methodology, sources, and limitations are documented above. Last updated .

Data Scientist

Sustainment · Austin, Texas, United States

Company Overview: Sustainment is an AI-native software platform that helps US-based manufacturers easily find and work with the critical suppliers they need to build and manage their supply chains. Our vision is to reimagine American manufacturing as a hyperconnected, secure, and resilient ecosystem of local and regional suppliers who can more easily connect, interact, and do business with the industry and government customers that rely on them. We are a dual-use technology platform that supports both DoD and commercial customers in pursuit of our vision.

CLEARANCE REQUIREMENT: Candidates must be eligible to obtain and maintain a U.S. Secret or Top Secret security clearance. This is a non-negotiable, hard requirement driven by our Department of War contractor obligations. Candidates who are not eligible will not be considered for this role.

Job Overview: 

Sustainment is scaling fast. Our engineering team has grown significantly and our delivery surface spans commercial SaaS product development and government-funded R&D programs -  including work supporting the U.S. Department of War.

We are looking for a Data Scientist who operates at the frontier of that data: collecting it, making sense of it when it’s messy and unstructured, building models that drive product and business decisions, and owning high-impact analytics end-to-end. This role lives at the intersection of data science and data strategy. You’re equally comfortable wrangling real-world data as you are designing experiments, building predictive models, and working with others to deploy data driven Machine Learning systems.

The ideal candidate gets excited by ambiguous, real-world data problems, wants to learn the business context behind them, and can zoom out from a dataset to ask: “what should we be collecting, modeling, and why?” You’ll work across Product, Engineering, and Operations to expand what Sustainment knows about the U.S. industrial base and translate that knowledge into outcomes.

What you’ll own: 

  • Lead end-to-end data heavy projects through product, growth, operations, and customer experience; from problem framing through deployment and measurement
  • Identify, evaluate, and connect to new sources of unstructured and semi-structured data relevant to U.S. manufacturing
  • Build and maintain reporting pipelines and dashboards that translate raw data into clear analytics for stakeholders
  • Design and analyze experiments including A/B testing, causal inference, and uplift analysis
  • Develop scalable datasets, metrics, and analytical frameworks
  • Develop and document data collection strategies and thinking systematically about coverage, quality, and freshness across Sustainment’s data assets
  • Apply AI-assisted workflows to enrich, normalize, and classify unstructured data
  • Partner with Product and Engineering to operationalize models, software, and insights
  • Collaborate with product and engineering to tie data quality directly to product outcomes: match rates, recommendation precision, and profile completeness
  • Maintain and improve Sustainment’s data quality standards by identifying gaps and driving enrichment initiatives
  • Mentor junior and mid-level data practitioners and help shape data quality, governance, and experimentation best practices
  • Present findings and recommendations to cross-functional stakeholders and produce strategy documents that inform quarterly prioritization

What we’re looking for: 

  • [REQUIRED] Must be eligible to obtain and maintain a U.S. Secret or Top Secret security clearance
  • 4+ years of experience in Data Science, Applied ML, Analytics, or a related data-focused role
  • Strong proficiency in Python and SQL
  • Demonstrated experience working with unstructured or semi-structured data 
  • Experience with experimentation, statistical analysis, and predictive modeling
  • Comfortable building dashboards and reporting layers 
  • Active user of AI tools (Claude, ChatGPT, or similar) for data workflows
  • Familiarity with production ML systems and modern data tooling
  • Business intuition with the ability to connect analysis to outcomes and ask strategic questions about data coverage, quality, and collection
  • Experience working cross-functionally with Product and Engineering teams

Nice to have: 

  • Background in or adjacent to manufacturing, defense, aerospace, or industrial sectors (strong preference)
  • Experience with NLP, entity resolution, or AI-assisted classification pipelines
  • Exposure to vector databases or semantic search concepts
  • Experience with LLMs or Generative AI applications
  • Familiarity with modern cloud and data platforms (Snowflake, Databricks, AWS, GCP)
  • Experience building self-serve analytics or experimentation platforms
  • Experience working in a Series A/B startup environment

Sustainment offers a competitive benefits package for full time employees including medical, dental, vision, paid time off, company holidays, and 401K matching.

Sustainment is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Sustainment participates in E-Verify.