# Staff Data Scientist - Long Term Impact

**Company**: Airbnb
**Location**: Remote - USA
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $200,000-$242,000 USD
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q63327

**Apply**: https://job-boards.greenhouse.io/airbnb/jobs/8042680?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b24acd8b-735

## Description

We are seeking a Staff Data Scientist to join the Core Data Science team at Airbnb. The successful candidate will develop and improve frameworks for estimating the long-term impact of platform changes.

The mission of the Core Data Science team is to leverage state-of-the-art science to drive business and community impact. The ideal candidate will have expertise in causal inference, machine learning, and programming.

Key responsibilities:

- Develop causal estimates for 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 the heterogeneous impact of product changes

- Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods

Requirements:

- Advanced degree in a quantitative field (e.g., Operations Research, Economics, Mathematics, Physics)

- Proven ability to design analytical solutions to complex problems with real-world applications

- Familiarity with recent developments in causal inference

- 6+ years (with Ph.D.) or 8+ years (with Master's) of experience in experimentation/causal inference domains

- Strong programming skills in languages such as R, Python, Scala, Java, or C++

- Excellent communication skills for technical and non-technical audiences

This is a remote-eligible position, and the base pay range is $200,000-$242,000 USD per year.

## Skills

### Required
- causal inference
- machine learning
- programming
- data science
- statistics

### Nice to have
- publications in recognized Data Science journals/conferences

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/airbnb/jobs/8042680?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)