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Senior Data Scientist, Pricing

职能数据科学
级别资深
地点Gunnison, Colombia, United States
方式现场办公
类型全职
发布3个月前
立即申请

福利待遇

Remote Work

Learning Budget

无限假期

股权

医疗保险

育儿假

必备技能

Python

SQL

TensorFlow

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Airbnb

Senior Data Scientist, Pricing

1 week ago• Gunnison, CO
Viewed on February 1, 2026
Apply on company site

About Us

Airbnb is a community marketplace for unique spaces, connecting people who have space to spare with those looking for a place to stay.

  • Size: 5001-10000 employees
  • Industry: Travel & Hospitality

View Company Profile:

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. Your most impactful work will involve (1) measuring the impact of new pricing features, (2) foundational modeling for pricing recommendations that balance supply and demand in the marketplace, and (3) successfully surfacing insights with a strong and coherent data narrative to cross-functional partners, thus driving decision making for future pricing innovation.

A Typical Day:

  • Developing 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:

  • 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
  • Experience with experimentation and causal observational analysis.
  • Strong coding skills in SQL and either Python or R.
  • Ability to autonomously set a roadmap for business impact.
  • Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience.
  • Work authorization (if applicable)
  • Travel requirements (if applicable) Preferred unique skill-sets (eg: experience with certain technologies, systems or platforms, specific cross-functional expertise)

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.

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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**$177,000—$208,000 USD**Client-provided location(s): Gunnison, COJob ID: 7555483Employment Type: OTHERPosted: 2026-01-21T23:31:17Apply on company site

Perks and Benefits

Health and Wellness

Parental Benefits

Work Flexibility

Office Life and Perks

Vacation and Time Off

Financial and Retirement

Professional Development

Diversity and Inclusion

Apply on company site

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关于Airbnb

Airbnb

Airbnb

Public

An online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet.

5,001-10,000

员工数

San Francisco

总部位置

$75B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

4.1

职业发展

3.0

管理层

2.8

68%

推荐率

优点

Great team culture and colleagues

Flexible work arrangements and remote options

Good benefits and perks

缺点

Work-life balance challenges

Communication issues and lack of direction

Fast-paced and stressful environment

薪资范围

37个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

L3

L4

L5

Junior/L3 · Data Scientist L3

0份报告

$240,579

年薪总额

基本工资

-

股票

-

奖金

-

$204,492

$276,666

面试评价

2条评价

难度

3.5

/ 5

时长

14-28周

录用率

50%

体验

正面 50%

中性 50%

负面 0%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Behavioral Interview

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit