- Страна
- США
- Зарплата
- 194 000 $ – 240 000 $
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Staff Data Scientist - AI-enabled Product Understanding (Inference)
Исключительная вакансия в топовой технологической компании с конкурентной зарплатой и возможностью удаленной работы. Роль предлагает высокий уровень влияния на продукт и работу с передовыми технологиями ИИ и Data Science.
Сложность вакансии
Высокая сложность обусловлена требованием к глубокой экспертизе в области причинно-следственного вывода (causal inference) и более чем 9-летнему опыту работы. Позиция уровня Staff предполагает не только техническое лидерство, но и тесное взаимодействие с руководством для формирования стратегии продукта.
Анализ зарплаты
Предложенный диапазон $194k–$240k является конкурентоспособным для уровня Staff в США, хотя в некоторых Tier-1 компаниях (FAANG) общая компенсация с учетом акций может быть выше. Тем не менее, базовая зарплата полностью соответствует рыночным ожиданиям для удаленной позиции такого уровня.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Data Scientist position within the AI-enabled Product Understanding team at Airbnb. With over 9 years of experience in quantitative analysis and a deep specialization in causal inference within marketplace environments, I have consistently demonstrated the ability to translate complex data patterns into actionable product strategies. My background in building observational causal models to understand user intent aligns perfectly with Airbnb's mission to create a seamless, personalized discovery experience for guests worldwide.
Throughout my career, I have led cross-functional initiatives that bridge the gap between advanced machine learning and product growth. I am particularly drawn to this role because of Airbnb's commitment to using AI to scale experimentation and its focus on the end-to-end guest journey. I am eager to bring my expertise in SQL, Python, and experimental design to help optimize your merchandising and recommendation systems, ensuring that every guest finds their ideal stay with ease.
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Откликнитесь в airbnb уже сейчас
Присоединяйтесь к команде Airbnb и определяйте будущее персонализированного поиска с помощью передовых методов причинно-следственного вывода!
Описание вакансии
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:
Millions of users navigate Airbnb’s app daily in their end-to-end journey from Homepage and Search through Booking and On-Trip. These usage patterns are directly connected to our Search and Discovery experience, including the placements, formats and content of information surfaced to users through our app. To help our guests, Merchandising and Recommendations systems are continuously being optimized, powered by hundreds of online experiments and data products designed to mine user preferences and deliver a compelling and holistic end-to-end personalized user experience designed to delight and make finding travel accommodations easy.
The Difference You Will Make:
- Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features
- Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding
- Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs
- Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders
The Difference You Will Make:
The ideal candidate will be curious, optimistic, and relentless at leading innovation in using AI tools to scale experimentation and data-driven decisions, development of domain-relevant input metrics, and continuous understanding of tradeoffs and end-to-end guest product journeys. You will hold a high bar for customer experience and a strong desire to accurately understand user behavior and drive business growth over both Homes and non-Homes verticals.
Your Expertise:
- Causal inference expertise with marketplace product experience
- Preferred domain in search and discovery, recommendations, UX, personalized evidence systems
- Advanced degree in Statistics, Economics, Computer Science or related field.
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
- Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience and customer mindset
- Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner’s attitude
- Expert in SQL and at least one of Python or R
- Proven ability to be driven and succeed in both collaborative and independent work environments
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.
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.
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 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
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Навыки
- SQL
- Python
- R
- Causal Inference
- Statistics
- Economics
- Machine Learning
- A/B Testing
- Product Analytics
Возможные вопросы на собеседовании
Роль требует глубоких знаний в области причинно-следственного вывода для оценки влияния фич без проведения классических A/B тестов.
Расскажите о самом сложном случае использования методов причинно-следственного вывода (например, инструментальные переменные или matching) в вашей практике. С какими ограничениями данных вы столкнулись?
Вакансия ориентирована на поиск и рекомендации в условиях маркетплейса.
Как бы вы подошли к измерению долгосрочного влияния изменений в алгоритме ранжирования на удержание пользователей, учитывая сетевые эффекты маркетплейса?
Позиция Staff подразумевает лидерство и влияние на стратегию.
Опишите ситуацию, когда ваши данные противоречили интуиции менеджера по продукту. Как вы убедили команду изменить направление развития?
Упоминается использование ИИ для масштабирования экспериментов.
Как, по вашему мнению, LLM или генеративный ИИ могут быть интегрированы в процесс анализа продуктовых метрик или автоматизацию дизайна экспериментов?
Работа с XFN (кросс-функциональными) партнерами является ключевой.
Как вы обеспечиваете баланс между технической точностью моделей и необходимостью объяснять их результаты нетехническим стейкхолдерам?
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- Страна
- США
- Зарплата
- 194 000 $ – 240 000 $