Embed Size (px)
Citation preview
© and confidential 1
predicting talent success, bias-free
© and confidential
Talent Leaders Connect29 June 2016
© and confidential 3
industry challenges the hiring process is inefficient, often
requiring 250 applicants to yield 1 hire
the hiring process is not predictive, 30-50% of hires fail in their 1st year
the hiring process is biased resulting in reduced diversity and increased compliance risk
the hiring process is subjective
© and confidential 4
our solutions pymetrics customizes algorithms by company and role to further improve efficiency
pymetrics uses data science algorithms to maximize prediction of employee success
pymetrics uses only bias-free algorithms to reduce and mitigate bias present in all humans
pymetrics uses objective data
© and confidential
our impact
© and confidential 6
increased efficienciesleaner processes lead to greater cost savings
6ximprovement in
applicant to offer yield
pymetrics was able to help clients go from reviewing 150 resumes to fill one seat to 25 resumes per one seat
3ximprovement in
interview to offer yield
top consulting and financial firms that usually experience 8.5% yields, were able to increase yields to 25%
3xreduction in false
negatives.
using pymetrics helped clients to reduce their false negative rates from 30% to 10%.
© and confidential 7
greater diversitymore diversity is better for the bottom line
increase in the number of female applicants.
a top-tier financial service firm’s typical applicant pool for equity research position was 75% male. using pymetrics, they achieved gender-equal applicant flow for the first time ever
100%
© and confidential 8
stronger culturea better predictor for offer acceptance
2Xculture fit score of candidates who accepted offers.
pymetrics provided culture fit profiles for different firms who hire for the same role. candidates who
accepted an offer had 2x the culture fit score than people who
declined the same firm’s offer.
© and confidential 9
our teamfounders
frida polli, PhD, MBA
julie yoo, PhD
legal
avital garner-samet, JD
data science
matt malter cohen, PhD
evan blumgart, MS
katy ghantous, PhD
melissa louie, PhD
darshana narayanan, PhD
mark ward, MS
enterprise sales marketing + product
jessica almog MA
jessica barrett, MBA
lauren cohen, MBA
andrew arvin MA
joe naso
engineering
fedor garin
naveed jooma, MS
dennis lin
zachary smith, MS
john salvatore
contacts
matthew matter cohen, enterprise product [email protected]
jessica barrett, business development [email protected]
www.pymetrics.com
