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Scaling Data Science
Structure + tooling at Airbnb
Elena Grewal / April 9, 2016 / @elenatej
I started at Airbnb ~4 years ago
● Ph.D. in Education
● Team grown from 5 to 70
○ Fun fact for this conference:
■ 54% mostly use R, 29% mostly use Python
■ 80% very comfortable with R, 50% with Python
● Company grown from 200 to 2,500
Scaling
● Team growth
● Interview process
● Why diversity
● Using data
○ Top of funnel changes
○ Conversion changes
● Scaling diversity data science
Rapid Data Team Growth
Diversity was important to us, but it wasn’t happening
Women :(
TeamSize
Interview process focused on practical data skills
‘Data challenges’ - Airbnb data + real question
Multi-stage
- Recruiter screen- Take home data challenge- Onsite challenge- 1:1s with hiring manager, business partner, CV
We felt good about the data challenges and process
● Popular Quora post
● Process starts being used by other companies (!)
Why act now
● Harder to hire women as ratio declines
● Women could feel excluded on team
● Homogeneity -> narrower range of ideas
We believe in a world where people belong, anywhere.
We started by looking at the data.-
● Manual audit of past apps● EEOC data on inbound
applicants
FUNNEL IMAGE
30% women
No drop off
Drop off
Drop off
We then thought about everything we could possibly do to make a difference
And we did those things.
FUNNEL IMAGE
Lightning talks
Support community
Diversity on multiple dimensions
Encourage applicants
Blog Posts & Interviews
Highlight Women @ Airbnb
Inspire women in data more broadly
Women in data dinners
Create community of senior women in field
Circulates to multiple companies (not just Airbnb)
● Create standard rubric● Binary scoring system● Removed names for a bit● Trained graders● Two graders for each test
to ensure consistency
● “Buddy” coffee chat & support
● 50% women at presentation ● Clearer success criteria
Increase in Female HiresHigh employee satisfaction scores + 100% women belong
Our work is not complete.
Next steps
● Focus on multiple aspects of diversity
○ Apply similar process to thinking about racial diversity
○ Other dimensions as well
○ Continue to improve interview process for all - stay vigilant
● Continue to monitor team culture and belonging of current employees
● Help the rest of the company and scale the efforts
Scaling our effortsWhat about the rest of Airbnb?
● Full time data scientist + data engineer to work with our “People and culture team”
● AWS account held separate from main Airbnb data
● Built tool to request and collect diversity data from referrals and passively sourced candidates
● Dashboards with diversity data for every team
Thank you!