Data Scientist, Algorithms, AirCover

The Community You Will Join:

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. Travel is rewarding, but sometimes things don’t go as expected. AirCover aims to provide peace of mind for your whole trip from booking until you’re back home. As a Data Scientist working on AirCover, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operation specialists to build scalable and robust systems to detect, mediate, and solve issues across a wide spectrum and optimize personalized presentation of our product. 

The Difference You Will Make:

As a Data Scientist for the team's machine learning work, you will work closely with the tech lead for this area on significant components of larger projects. The keys to success in this role are the effective execution of high-impact applications and the successful application of new technologies and innovations to Airbnb problems.

The role requires partnering with engineers, product managers, and other data scientists across the organization. A successful candidate can collaborate with these technical and non-technical partners to achieve the best outcome for Airbnb and its customers.

A Typical Day: 

• Develop accurate, agile, and explainable fraud detection systems to guard platform quality
• Detect various intents across various entry points with large scale unstructured data using NLP methods
• Collect evidence from images and receipts to gauge monetary value of the request leveraging computer vision
• Utilize Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences,
• Integrate causal modeling with ML models in order to improve performance of model-derived interventions.

Your Expertise:

• 2+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
• Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse
• Deep understanding of Machine Learning lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation)
• Proven ability to communicate clearly and effectively to audiences of varying technical levels, observation causal inference skill is a plus
• Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus

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.

Offices: United States