Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 6
Scala @ 6
R @ 6
Java @ 6
Data Science @ 3
Mathematics @ 3
Experimentation @ 6
- 1-2 ā basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 ā daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 ā you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 ā exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Airbnb's Core Data Science team builds reusable tools and models and tackles the most technically challenging, high-impact data science problems across the company. The team's mission is to ensure Airbnb leverages state-of-the-art science for maximal business and community impact. In this role you will focus on estimating long-term impact of platform and product changes by connecting short-term experimental outcomes to long-term value.
Responsibilities
- Develop causal estimates for the long-term impact of short-term metric movements.
- Build frameworks for estimating how the impact of product changes evolves over time.
- Create frameworks and tooling to evaluate heterogeneous impacts of product changes.
- Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide range of platform/product impacts.
Requirements
- Advanced degree in a quantitative field (e.g., Operations Research, Economics, Mathematics, Physics).
- 6+ years (with Ph.D.) or 8+ years (with Master's) of experience working or doing research in experimentation / causal inference domains.
- Proven ability to design analytical solutions to complex problems with real-world applications.
- Familiarity with recent developments in causal inference and strong experience with experimentation and causal estimation.
- Strong programming skills: R, Python, Scala, Java, C++ or equivalent.
- Ability to communicate clearly with both technical and non-technical audiences.
- Publications or presentations in recognized Data Science journals/conferences is a plus.
Location
- This position is US - Remote Eligible. You must live in a state where Airbnb, Inc. has a registered entity; some states are excluded (see: https://careers.airbnb.com/). The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager.
Our Commitment to Inclusion & Belonging
Airbnb encourages applicants from a broad and diverse talent pool. They provide a disability-inclusive application and interview process; reasonable accommodation requests can be sent to [email protected] with your full name, role, and accommodation needs.
Compensation & Benefits
- Base pay range: $200,000ā$242,000 USD.
- The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. The actual base pay depends on factors such as training, transferable skills, work experience, business needs and market demands.