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Senior Data Scientist - Inference, Global Markets

Airbnb

Senior Data Scientist - Inference, Global Markets

Airbnb

Lanzhou, China

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health, dental, and vision coverage

Top Tier compensation with equity

Wellness benefits

Annual team offsites

Remote work flexibility

Required Skills

Python

PyTorch

Airflow

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:

The Global Markets team is focusing on evolving our guest and host experiences for global markets to accelerate international growth. Expanding in under-penetrated global markets is a key pillar of our company’s growth strategy. To achieve this, we want to innovate in every sense of the world and adapt our product for every corner of the globe. We want every user in each of our 220+ countries and regions to feel right at home.

The Difference You Will Make:

In this role, you will partner closely with product managers, designers, engineers and operations across regions to build and optimize products that resonate with Airbnb guests and hosts around the world. Your work will span a variety of impactful projects, touching multiple markets and product surfaces. You will have the opportunity to directly contribute to global markets products by transforming business goals into measurable outcomes, diving deep into customer behavior nuances, delivering statistical insights and data products, and championing the technical solutions that ensure our products are thoughtfully tailored to the needs of our diverse user base.

A Typical Day:

  • Work closely with cross-functional stakeholders to define product scopes, evaluate impact, and set roadmap priorities

  • Architect and implement rigorous measurement plans, using A/B tests and quasi-experimental methods to assess product success and inform strategic bets

  • Interpret unexpected outcomes, identify bias in experiments, and drive solutions to ensure measurement quality

  • Conduct in-depth research into customer behaviors and preferences across markets to unlock opportunities for international business growth

  • Develop scalable frameworks, models and systems that enable product features to be more refined and tailored to the needs of local markets

  • Actively present data findings and ideas to stakeholders at different levels, and turn proposals into actions and tangible results for the business and our customers

Your Expertise:

  • 5+ years of industry experience in a fast-paced tech environment with a BS/Master’s in a technical field related to mathematics, computer science, statistics, economics, machine learning, or 2+ years of relevant experience and a PhD in similar fields.

  • Strong knowledge of causal inference and experimentation

  • Expertise in SQL, Python or R

  • Ability to solve business problems using appropriate methods and models

  • Strong stakeholder communication skills and the ability to translate complex analyses into compelling narratives and business actions

  • Working experience on marketplace at a global scale is a plus

Your Location

  • This position is China
  • Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.

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.

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About Airbnb

Airbnb

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

5,001-10,000

Employees

San Francisco

Headquarters

$75B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

4.2

Compensation

4.0

Culture

4.1

Career

3.0

Management

4.0

78%

Recommend to a Friend

Pros

Flexibility and work-life balance

Good pay and compensation

Great leadership and bosses

Cons

Dealing with difficult guests

Guest-related damages and messes

Stressful situations with complaints

Salary Ranges

16 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Junior/L3 · Data Scientist L3

0 reports

$240,579

total / year

Base

-

Stock

-

Bonus

-

$204,492

$276,666

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 44%

Neutral 34%

Negative 22%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit