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Upscored Matches Careers, Candidates and Companies

May 10, 2016
by
TechCrunch
YouTube video player
Upscored Matches Careers, Candidates and Companies

TL;DR

Upscored is a personalized career matching platform that uses data science and algorithms to match job seekers with the best job opportunities in seconds.

Transcript

and next up we have up scored so come on out up scored presenting for up scored we have Elise runde boss Dan Elbaz and Robert Britt welcome guys and you have six minutes personalization touches every part of our lives Netflix knows that my co-founder dan loves archer spotify knows that my co-founder robert wants to hear hip hop we have amazon we ha... Read More

Key Insights

  • 👨‍🔬 Upscored aims to personalize the job search experience, which has often been left behind when it comes to personalization.
  • 😒 The platform uses data science, natural language processing, and machine learning to match candidates with job opportunities that align with their skills and preferences.
  • 👤 Upscored's algorithm learns from user feedback and continuously improves job recommendations over time.
  • ☠️ The platform has seen early success, with high job match rates and interview requests for candidates.
  • 🐕‍🦺 Upscored plans to expand its services and potentially offer consulting to help companies improve their job descriptions.
  • 🥶 The platform is free for candidates, while companies pay to find candidates who are the best fit for their roles.
  • 🤑 Upscored has grown its user base through word-of-mouth referrals and has started partnering with tech companies and Fortune 100 companies.

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Questions & Answers

Q: How does Upscored determine a candidate's score?

Upscored uses data science and natural language processing to analyze a candidate's resume and match it against tens of thousands of job descriptions. The score reflects the candidate's suitability for a particular role based on their skills, work experience, and education.

Q: How does Upscored provide personalized job recommendations?

Upscored uses algorithms that learn from a candidate's preferences and job interests. By giving thumbs up or down to job recommendations, Upscored tailors future recommendations to align with the candidate's career goals.

Q: How does Upscored acquire customers?

Upscored has found success through word-of-mouth referrals due to its unique platform. They have also targeted a niche market of data and analytics roles, attracting both candidates and employers in this field.

Q: Are companies able to provide feedback on job descriptions to improve matching?

Yes, Upscored allows companies to receive feedback from candidates through their thumbs up or down feature. This feedback helps the algorithm understand what employers truly want and can be used to fine-tune job descriptions.

Summary & Key Takeaways

  • Traditional career sites only provide lists of job openings, causing a disconnect between job seekers and potential employers.

  • Upscored uses data science and machine learning to create a score that reflects the fit of a person's skills, work experience, and education against a company's job description.

  • Job seekers can easily upload their resume and answer intuitive questions to receive personalized job recommendations within minutes.


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