Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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 is a strong team of Data Scientists and Researchers. Our work is highly sought-after, and we prioritize work that impacts employees and the business. If you have a background in this field and are excited to help build Airbnb’s community, we want to hear from you.
The Difference You Will Make:
The People Analytics team is looking for an experienced Data Scientist to contribute to some of our key projects, such as survey analysis (employee listening); how to hire a best-in-a-generation workforce; and how to maintain fairness in key company processes. The role is highly cross-functional, and you will work with Talent Leaders, Legal, Diversity and Belonging, and other core people-oriented teams. We need a Data Scientist with a strong track record in translating data to insights and action.
A Typical Day:
- Collaborate with other Data Scientists to help stakeholders understand people-related business problems
- Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as hiring, attrition, employee engagement, and workplace diversity, among others
- Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with stakeholders across the business
- Align research priorities with business priorities and take a customer-focused mindset
- Leverage academic expertise and knowledge of people analytics trends to address practical business challenges
- Exercise traits of adaptability and good judgment to support organizational agility
- Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb
Your Expertise:
- 1-3 years in industry experience and/or a Master's degree/PhD in a quantitative field
- Experience in research design and advanced statistical analysis (experimentation and quasi-experimental methods)
- Ability to conduct statistical analysis using R or Python
- Ability to access databases via SQL
- Knowledge of and experience in survey design and analysis
- Experience interpreting survey data and using it to drive decisions
- Ability to communicate clearly and effectively to cross functional partners of varying technical levels
- Experience working with large practical datasets
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.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual hourly rate is dependent upon many factors, such as: education, experience, and skills. The hourly rate is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$75—$95 USD