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 .

Director of Data

Nabis · Remote

About Nabis

Nabis is the #1 Licensed Cannabis Wholesale Platform in the world with the largest portfolio of cannabis brands, supplying hundreds of brands to retailers across California, New York, and Nevada. Our mission is to empower the world to discover cannabis by providing choice, access, and innovation.

 

We’re building a cutting-edge, technology-first platform to scale the cannabis industry. Backed by Y Combinator and visionary investors like Doordash co-founder Stanley Tang and Twitch co-founder Justin Kan, we’re redefining cannabis distribution through innovation and efficiency.

 

About the Role

We are seeking a highly motivated and experienced Director of Data to lead and grow our nascent Data Team. This is a critical hybrid role, requiring a deep technical expert who can not only  Individual Contributor but also set the strategic vision for the department's data capabilities and lead the team's growth. 

Candidates will report directly to the Director of Engineering and will be instrumental in transforming raw data into actionable insights that drive business strategy and product development.

Responsibilities

Individual Contributor & Technical Execution

Advanced Analytics: Directly execute complex end-to-end data science projects, including statistical modeling, machine learning, and predictive analysis.

Data Infrastructure: Partner with Engineering/IT to define requirements for and, where necessary, personally build and maintain robust data pipelines, data marts, and analytics tools to support the team's work.

Quality Assurance: Establish and enforce technical best practices, code review standards, and documentation guidelines to ensure the reliability and reproducibility of all data products.

 

Leadership & Team Development

  • Team Leadership: Lead and mentor our existing Data Analyst, providing regular coaching, setting performance goals, and facilitating career development.
  • Hiring & Growth: Play a primary role in recruiting, interviewing, and onboarding new talent as the data team scales.
  • Knowledge Transfer: Promote a culture of data literacy and continuous learning within the Data Team and across the organization.

 

Strategy & Project Management

  • Strategic Vision: Define and articulate a compelling data strategy and roadmap for the department over the next 1-3 years, aligning data initiatives directly with company OKRs and business needs.
  • Project Management: Act as the technical Product Owner for the Data Team's backlog. Manage the end-to-end lifecycle of all data projects, ensuring timely delivery, managing scope, and communicating progress to stakeholders.
  • Stakeholder Alignment: Collaborate with executive leadership and cross-functional teams (Product, Marketing, Operations) to identify high-impact analytical opportunities and translate ambiguous business questions into testable data hypotheses and clear deliverables.
  • Data Governance: Establish foundational principles for data governance, integrity, privacy, and security within the department.

 

Qualifications

Required Technical Skills

  • 5+ years of progressive experience in Data Science, Data Analysis, or a related quantitative field.
  • Expert proficiency in SQL and a programming language commonly used in data science (e.g., Python or R).
  • Demonstrated experience designing and implementing statistical models, machine learning models, and large-scale data analyses.
  • Familiarity with modern data warehousing and ETL concepts (e.g., Snowflake, BigQuery, DBT).
  • Strong experience with visualization tools (e.g., Tableau, Power BI, Looker).

Required Leadership & Business Skills

  • 2+ years of formal or informal experience leading projects, mentoring junior analysts/scientists, or functioning as a technical lead.
  • Exceptional communication and presentation skills, with the ability to articulate complex analytical findings to both highly technical and executive audiences.
  • Proven ability to take ownership of an ambiguous problem space, define a clear strategy, and manage the execution of that strategy independently.

Why You’ll Love Working with Nabis

  • Compensation starting at $150k along with medical, dental, vision and 401k
  • Be part of the fastest-growing cannabis startup in the U.S.
  • Lead the foundational technology layer that powers a multi-state business
  • Fully remote role with flexibility and autonomy to design and implement infrastructure strategy
  • Join a diverse, inclusive team passionate about technology and cannabis