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 .

Data Science, Music & Audio

Melotech · Berlin

Who we are

Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.

Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.

What you will do

Join us as our first dedicated Data Scientist to bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterize an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:

  • Discovering and exploiting new, untapped data sources through creative scraping techniques

  • Building data processing pipelines from scratch to handle raw, unstructured data

  • Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows

  • Spinning up EC2 instances for real-time data collection and automated scraping operations

  • Prototyping and deploying ML models on AWS for real-time predictions and content analysis

  • Creating custom dashboards and reports to communicate insights to leadership

  • Analyzing trends, audience behavior, and performance metrics to guide business decisions

Who you are

We look for battle-tested data scientists who understand that real impact comes from turning messy, unstructured data into business-critical insights that drive company direction. You're someone who doesn't just build models, you solve complex business problems by finding creative ways to access hard-to-reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:

  • Degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field

  • 3+ years of hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders

  • Expert-level Python proficiency with standard data science and ML frameworks

  • Experience scraping and acquiring raw data from new sources, building creative solutions to access hard-to-reach datasets beyond standard APIs

  • Extensive hands-on experience with agentic coding tools and LLMs for data workflows

  • Production model deployment experience including infrastructure and monitoring

  • Advanced data visualization skills using standard libraries or Tableau

  • Strong collaboration skills across engineering, product, and business teams

  • You thrive in a fast-paced and performance-oriented environment

  • Colleagues would describe you as hard-working, ambitious and persistent

  • You’re obsessed with music, video or social media

What makes this exciting

You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate.

We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together.

What the process will look like

We hire on a rolling basis. Earliest starting date is always ASAP.

Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:

  1. Online assessment: Motivational questionnaire and aptitude test - are you made for the job?

  2. Initial interview: 30-minute introductory call - getting to know you

  3. Take-home case study: Real-world project - showcase your skills and working style

  4. Case interview: 90-minute case discussion - present and debate your results with a team member

  5. Founder interview: 90-minute interview with our CEO - going deep on all topics

  6. Team interview: Individual or group interview with other team members - depending on position

  7. Offer, contract signing and onboarding


Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.