- Страна
- США
- Зарплата
- 194 000 $ – 240 000 $
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Staff Data Scientist, Pricing
Высокий балл обусловлен сильным брендом компании, конкурентной заработной платой и возможностью работать удаленно. Роль предлагает высокий уровень автономии и влияние на ключевые бизнес-показатели глобального продукта.
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний в области эконометрики и машинного обучения, но и способности вести проекты 'с нуля' в условиях высокой неопределенности. Ожидается наличие ученой степени и значительного опыта работы с маркетплейсами.
Анализ зарплаты
Предлагаемый диапазон $194k–$240k соответствует рыночным стандартам для позиций уровня Staff Data Scientist в крупных технологических компаниях США (Tier-1). С учетом бонусов и акций (RSU), совокупный доход может значительно превышать верхнюю границу базового оклада.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Data Scientist position within the Pricing team at Airbnb. With over 9 years of experience in developing complex marketplace models and a deep background in econometrics, I have consistently delivered data-driven solutions that balance supply and demand while enhancing user experience. My expertise in causal inference and experimental design aligns perfectly with Airbnb's mission to provide sophisticated pricing guidance for hosts.
In my previous roles, I have successfully led 0-to-1 projects, translating ambiguous business problems into rigorous scientific frameworks. I am particularly drawn to this opportunity because of Airbnb's unique position at the intersection of community and technology. I am confident that my proficiency in Python and SQL, combined with my ability to communicate complex insights to cross-functional partners, will allow me to make a significant impact on your pricing ecosystem and help hosts navigate the marketplace more effectively.
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Откликнитесь в airbnb уже сейчас
Присоединяйтесь к команде Airbnb и создавайте инновационные алгоритмы ценообразования для миллионов пользователей по всему миру!
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:
You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build pricing products for Airbnb hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, foundational tools, and insights to improve the Airbnb marketplace and product for guests and hosts.
The Difference You Will Make:
You will contribute to the development of a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches. In addition, you will drive innovative pricing science through strategic initiatives, including early-stage and ambiguous 0-to-1 projects that require scientific rigor and creative business insight.
Your most impactful work will involve:
- Collaborating with product and cross-functional teams to pioneer pricing strategies and guidance for hosts, translating advanced modeling into actionable recommendations.
- Developing foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact.
- Crafting compelling data narratives to surface actionable insights, empower data-driven decision making, and influence the future direction of Airbnb’s pricing ecosystem.
A Typical Day:
- Developing a deep understanding of how hosts think about pricing and navigate and re-engage with our app via analysis and research.
- Growing a strong relationship with cross-functional partners in Product, Engineering and Analytics.
- Writing software (Python, SQL, R) to model, simulate and measure the impact of new pricing features.
- Creatively diving into data to understand the differential effects of pricing feature launches and turning that understanding into clear insights.
- Communicating learnings and insights to leaders and partners in a simple and lucid way
Your Expertise:
- Advanced degree in Computer Science, Statistics, Econometrics or related field.
- 9+ years of industry experience with Masters and 6+ years with a PhD.
- Experience with experimentation, causal observational analysis, and pricing systems/marketplaces.
- Strong coding skills in SQL and either Python or R. Comfort with developing proof-of-concept prototypes.
- Proven ability to succeed in both collaborative and independent work environments, autonomously set a roadmap for business impact.
- Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience.
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.
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
- Python
- SQL
- R
- Statistics
- Econometrics
- Causal Inference
- Experimentation
- Machine Learning
- Data Modeling
Возможные вопросы на собеседовании
Позиция Staff уровня предполагает лидерство в сложных проектах. Важно понять, как кандидат справляется с неопределенностью.
Расскажите о проекте '0-to-1', который вы вели. С какими основными трудностями вы столкнулись при определении метрик успеха?
Ценообразование в Airbnb напрямую зависит от баланса спроса и предложения.
Как бы вы подошли к моделированию эластичности спроса для уникальных объектов жилья, которые не имеют прямых аналогов?
Вакансия требует опыта в причинно-следственном анализе.
Какие методы (кроме A/B тестирования) вы использовали для оценки влияния новых функций, когда рандомизация была невозможна?
Работа в Airbnb требует тесного взаимодействия с продуктовыми командами.
Опишите случай, когда ваши аналитические выводы противоречили интуиции менеджера по продукту. Как вы убедили команду изменить стратегию?
Технический стек включает Python/R и SQL для симуляций.
Как вы обеспечиваете масштабируемость и воспроизводимость ваших моделей при работе с огромными массивами данных маркетплейса?
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- Страна
- США
- Зарплата
- 194 000 $ – 240 000 $