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1028: Transforming The Technical Recruiting Process

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Manage episode 246617747 series 80936
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Founded in 2015, CodeSignal is the first company to develop an objective automated skills-based assessment platform that can be used as a standard for technical recruiters and employers. The company is now helping big organizations like P&G, Robinhood, Lenovo, and Uber make smarter hiring decisions for their technical hires.

The CodeSignal's Machine Learning algorithm has analyzed terabytes of skill assessment data to develop the Coding Score, which is a predictor of a developer's coding and problem-solving ability, and technical interview performance.

"Amazing things happen when a group of incredibly smart people work in unison to change the world. As a leader, your job is to create that environment." Tigran Sloyan Chief Executive Officer

Here in 2019, more than 50% of software engineers are self-taught. So if a top programmer didn't attend an elite university, how can they prove their chops to potential employers? In the current state, technical hiring and testing during the interview process has been called a "bloodbath," and often leads to mis-hires or missed hires because what is being tested isn't actually realistic or relevant to the job at hand. I invited Tigran Sloyan back on to my daily tech podcast to learn more about the Certify solution. We discuss how it allows recruiters to make data-driven hiring decisions based on the skills that candidates show through real-world coding assessments.

We also discuss how it streamlines the technical recruitment pipeline to help HR professionals move away from a reliance on traditional resumes. But also how tech can reduce subconscious gender, racial, educational, and socioeconomic bias in hiring.

  continue reading

2030 episodes

Artwork
iconShare
 
Manage episode 246617747 series 80936
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Founded in 2015, CodeSignal is the first company to develop an objective automated skills-based assessment platform that can be used as a standard for technical recruiters and employers. The company is now helping big organizations like P&G, Robinhood, Lenovo, and Uber make smarter hiring decisions for their technical hires.

The CodeSignal's Machine Learning algorithm has analyzed terabytes of skill assessment data to develop the Coding Score, which is a predictor of a developer's coding and problem-solving ability, and technical interview performance.

"Amazing things happen when a group of incredibly smart people work in unison to change the world. As a leader, your job is to create that environment." Tigran Sloyan Chief Executive Officer

Here in 2019, more than 50% of software engineers are self-taught. So if a top programmer didn't attend an elite university, how can they prove their chops to potential employers? In the current state, technical hiring and testing during the interview process has been called a "bloodbath," and often leads to mis-hires or missed hires because what is being tested isn't actually realistic or relevant to the job at hand. I invited Tigran Sloyan back on to my daily tech podcast to learn more about the Certify solution. We discuss how it allows recruiters to make data-driven hiring decisions based on the skills that candidates show through real-world coding assessments.

We also discuss how it streamlines the technical recruitment pipeline to help HR professionals move away from a reliance on traditional resumes. But also how tech can reduce subconscious gender, racial, educational, and socioeconomic bias in hiring.

  continue reading

2030 episodes

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