Get roles like this, scored and matched, in your inbox.
Sign up free →Job Opening
Senior Data Scientist, People Analytics & Research
Airbnb · Remote - USA · Posted 17 days ago
Lead Airbnb's compensation analytics and quality-of-hire metric, turning causal research on recruiting, pay equity, and promotion into decisions leaders act on.
The Community You Will Join:
People Analytics & Research is a strong team of Data Scientists, Data Engineers, and Analysts. Our work is highly sought-after, and impacts stakeholders in our People function, and across the business. In this role, you'll take on some of the hardest questions about Airbnb's workforce - how we recruit, pay, develop, and retain our people - partnering with leaders across Recruiting, Compensation, Talent, and the wider business to turn rigorous analysis into decisions they act on.
The Difference You Will Make:
The People Analytics & Research team is looking for an experienced Data Scientist to lead and/or contribute to our most important research - applying causal inference and quasi-experimental methods to high-stakes people questions: how we recruit, hire, promote, and retain a best-in-class workforce; how we keep key company processes fair; and how work itself is changing. Employee listening and survey analysis are part of the mix, but the heart of the role is rigorous inferential research on observational people data. The role is highly cross-functional, and you will partner with Recruiting, Talent Leaders, Compensation, Legal, and Diversity & Belonging. We need a Data Scientist with a proven track record of translating data into insight and action.
If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
…
This posting is sourced from Airbnb's own career site — applying takes you there directly.
Get roles like this, scored and matched, in your inbox.
Sign up free →Related roles
There are 227 open roles at Airbnb right now. This role is one of 58 Data Scientist openings in Remote and centers on Causal Inference, Quasi-experimental Design, R, and Python.
Want roles like this found for you?
Set your Focus once. Career Engine screens every new opening every week.
A scored, explained shortlist — not a keyword match — delivered weekly. Free for one profile.