Airbnb Logo

Airbnb

Staff Data Scientist, Algorithms, AirCover

Posted 5 Days Ago
Remote
Hiring Remotely in United States
194K-240K Annually
Expert/Leader
Remote
Hiring Remotely in United States
194K-240K Annually
Expert/Leader
The Staff Data Scientist will develop fraud detection systems, optimize product presentation, and lead data science initiatives using machine learning techniques and collaboration with cross-functional teams.
The summary above was generated by AI

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:

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 a 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:

For this role, we’re seeking an AI expert to join the AirCover Data Science team, and have a direct opportunity to contribute, influence, and lead by designing scalable scientific solutions for problems like: 

  • Develop accurate, agile, and explainable fraud detection systems to guard platform quality and protect guests and hosts
  • Detect 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
  • Optimize presentation of AirCover products through designing thoughtful user segmentation and personalization 
  • Route high-complexity issues to agents with personalized strategy, incorporating user history and agent performance
  • Summarize customer journey and conversations with foundational or fine tuned large language models (LLM) to assist operation agents

A Typical Day: 

  • Identify high impact business opportunities through data exploration and model prototype, translate business problem into scientific formulations  
  • Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for machine learning models, drive scientific decisions, and quantify impact
  • Hands-on develop, productionize, and operate machine learning models on paved path, including both batch and real-time use cases, structured and unstructured data
  • Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
  • Publish externally and engage with the scientific community to advance Airbnb’s standing

Your Expertise:

  • 9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields and 6+ yrs of relevant industry experience.
  • 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, anomaly detection)
  • Proficiency with LLMs and/or related AI, NLP, CV, UGC/content understanding topics including deep learning, information retrieval, or knowledge extraction. For example, BERT, GPT, LLaMA, Mistral
  • Comfort to collaborate with software engineers to understand complex systems and abstracted logs, proven ability to communicate clearly and effectively to audiences of varying technical levels
  • 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: [email protected]. 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 base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range 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

$194,000$240,000 USD

Top Skills

Airflow
Python
PyTorch
SQL
TensorFlow

Similar Jobs

15 Days Ago
Remote
U.S.
188K-225K
Senior level
188K-225K
Senior level
Fintech • Payments • Real Estate • Software • Financial Services
As a Senior Staff Data Scientist, you will develop machine learning models, lead projects, analyze data, and collaborate with teams to drive business growth.
Top Skills: AWSGCPPythonPyTorchRScikit-LearnTensorFlow
An Hour Ago
Easy Apply
Remote
Hybrid
United States
Easy Apply
114K-172K
Mid level
114K-172K
Mid level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
The Data Analyst will provide insights and analysis for fulfillment and operations, optimizing supply chain processes through data collaboration across teams.
Top Skills: PythonSnowflakeSQLWarehouse Management Systems
3 Hours Ago
Remote
Hybrid
7 Locations
84K-202K Annually
Mid level
84K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Analyze complex problems, develop strategic analyses, mentor juniors, and build client relationships to enhance service delivery and insights.
Top Skills: AlteryxMicrosoft Office SuitePower BIPythonSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account