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

Flexe · Seattle, Hybrid

Flexe is a team of technology entrepreneurs and logistics experts who are transforming the $1.5T logistics industry. We deliver technology-powered flexible warehousing infrastructure to the world’s largest Enterprise companies, creating unprecedented agility and flexibility in their supply chains. Our cloud-based software platform connects to 1300+ warehouse operators across North America, making the process of sourcing, operating and scaling logistics services fast and efficient. Flexe.com 

The Senior Data Scientist is responsible for working with the product manager and stakeholders to define and scope opportunities, using data to build novel products supporting the Flexe business model. They will identify and harvest data to power machine learning and/or optimization models for Flexe within the logistics and distribution industry. This role impacts organizational level goals. This job reports to the Data Products engineering manager. Additionally, this role is responsible for working with software engineers, data engineers, and analytics to deliver solutions.

Job Responsibilities

[50%] Experiment, prototype, and implement solutions to Flexe’s complex problems

  • Research and define problems. Design experiments to prove theoretical models. Prototype implementations of new learning algorithms and/or prediction techniques.
  • Driven by deep curiosity, use exploration and discovery techniques to build knowledge and technology which will inform decisions and solve problems.
  • Obtain, evaluate, and interpret large amounts of data from various internal and external sources. 
  • Design, build, test and release scientifically sound models to provide clients with insights and recommendations to improve their supply chains.

[25%] Technical leadership

  • Lead the design, implementation and delivery of large feature releases.  Can work in parallel with other Data Scientists, BIEs, and analysts to deliver a product or solution.
  • Proactively simplifies data modeling and code and resolves team architecture deficiencies.
  • Influences or drives architecture decisions.  Can devise and assemble multiple components into a larger solution.

[25%] Teamwork - driving team processes and cross-functional collaboration

  • Develop or evolve team processes to improve quality and delivery.
  • Communicating verbally and in writing to business customers with various levels of technical knowledge, and sharing insights and recommendations.
  • Collaborating with analysts, engineers, product managers, and stakeholders to design and implement software solutions for science problems.

Qualifications

Required Qualifications

  • Requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
  • Proficient in using scripting code (Python, R, etc.) to scrutinize data and build statistical and/or machine learning models.
  • 5+ years of hands-on experience in predictive modeling, analysis, and machine learning.
  • 5+ years of relevant working experience in an analytical role involving data extraction, statistical modeling, and communication.
  • 3+ years of experience with data querying languages (SQL)
  • Proven ability to work independently and communicate status clearly.  Workload is self-directed and organized.
  • Proficiency in model development, model validation and model implementation for large-scale applications.
  • Ability to convey mathematical results to non-science stakeholders.
  • Strength in clarifying and formalizing complex problems.
  • Natural curiosity and desire to learn, a passion for solving real world problems.

Preferred Qualifications

  • Successful candidates will have a background in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, or Economics or 5+ years relevant experience.
  • Supply chain experience within transportation, logistics, or warehousing.

 

The salary range for this role is $144,500 to $202,900 depending, in part, on candidate location. Recruiting will confirm the specific range for the candidate location in the initial phone screen. All employees receive company equity as part of their compensation package.

#AS-LI

Benefits:

Our benefits package at Flexe is thoughtfully designed to help our employees lead healthy lives inside and outside of work. 

  • Medical, dental, and vision insurance
  • 401k with employer match
  • Flexible Time Off Policy, with 10 company paid holidays 
  • 2 days of volunteer time off
  • 12–15 weeks of paid parental leave, with eligibility based on tenure and in alignment with FMLA guidelines
  • Fully remote, in-office, or hybrid work environment 
  • Monthly home internet stipend
  • Employee support groups, social groups, and mentorship program
  • Employee-driven programs for volunteering

Flexe participates in E-Verify, an employment authorization program through the U.S. Department of Homeland Security and the Social Security Administration.

Flexe is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Founded in 2013 and headquartered in Seattle, Flexe provides tech-enabled warehouse services with access to North America’s largest network of warehouse operators. Integrating technology, open logistics networks, and elastic economic models allow Flexe customers to move fast, at scale, and with precision.

 

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