Upscored Matches Careers, Candidates and Companies | Summary and Q&A

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May 10, 2016
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TechCrunch
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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.

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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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