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Leading location data company, Factual, turned to Py to assess software engineers & data scientists.

Founded

2008

Company Size

150+

INDUSTRY

Analytics

HQ/LOCATION

Los Angeles, CA

Problem


Factual's interview process was manual and relied heavily on resume review.


Solution


Factual implements Py for live interviewing and asychronous assessments.


Results


Py lets candidates demonstrate their skill in an environment where they feel comfortable.

Founded in 2008, Factual provides a highly technical location data platform that drives smarter digital products, marketing, and business decisions.

One of the top initiatives for Factual is to attract a diverse group of top talent. Using Py to take a skills-based approach to hiring allows Factual's engineering team to focus less on pedigree and more on technical ability of applicants.

Using Py has allowed us to interview a much larger pool of candidates who we likely would not have otherwise considered had we relied solely on resume screens.
Ross Israel
Engineering Manager

Looking for a better way to conduct interviews and assess technical talent, data scientist and engineering manager, Ross Israel, turned to Py to streamline Factual's technical interviewing process.

Before using Py, Factual's engineering team had trouble finding a reliable way to conduct live programming interviews. Seeing an average of 25 resumes per day, and even more during peak university hiring season, Ross' engineering team conducts on average 15-20 interviews per week. Py empowers the team to conduct reliable live interviews while giving Factual engineers the ability to playback and analyze candidate code.

"In addition to live interviewing, Py allows us to create offline assessments that help us identify the most qualified candidates in our pipeline- this saves a huge amount of time for our engineering team, who can then spend more time with the best candidates." Assessing for highly technical data science roles is not easy. That's why Factual combined custom questions along with Py's pre-built questions to create engaging and effective offline assessments.

"In addition to live interviewing, Py allows us to create offline assessments that help us identify the most qualified candidates in our pipeline- this saves a huge amount of time for our engineering team, who can then spend more time with the best candidates." Assessing for highly technical data science roles is not easy. That's why Factual combined custom questions along with Py's pre-built questions to create engaging and effective offline assessments.

We're a small recruiting and people ops team, and at a brand name company like Factual, we see a ton of in-bound candidates. The fact that Py integrates directly with our ATS allows us to integrate technical assessment easily into our existing workflow.
Sarah Katz
Recruiter

At Py making sure our customers are implementing best practices and are receiving a high level of customer support is our top priority. "We have a direct line to the Py team, they're there to answer any questions we have about the platform and are always eager hear our feedback and share what features are on their product roadmap."

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