Join Airbnb as a Senior Data Scientist to lead impactful research in People Analytics and drive data-driven decisions.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
What you'll build
Must have
Nice to have
AI in the day-to-day
Use AI fluently, including the team's AirPanda platform and LLM-based agents.
Requirements
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Data Scientist in People Analytics & Research at Airbnb focuses on addressing complex workforce-related questions through rigorous data analysis and causal inference methods. Proficiency in R or Python, SQL, and experience with observational data are essential for success. This position is ideal for someone with over five years of experience in data science, particularly in areas like compensation and recruiting, who can effectively communicate insights across various teams. The role involves collaboration with multiple stakeholders, emphasizing the importance of data-driven decision-making in shaping Airbnb's workforce strategies.
Joblaze insights
Quick facts
From the original posting
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
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.
A Typical Day:
Your Expertise:
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Equal Employment Opportunity:
Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.
How We'll Take Care of You:
Standard company text repeated across Airbnb's postings is omitted here.