Airbnb

Senior Data Scientist, Analytics - Trust

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What Airbnb is looking for in applicants

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.

Information is only valuable if it is understood. As a Data Scientist focused on analytics, you’ll have the opportunity to influence the business by creatively exploring the data to inform what we do differently. You’ll define success and measure our progress, and you’ll make sure that your team and the company overall know what is happening. We think of data as the voice of the user at scale. You’ll be that translator. And because Airbnb is a global product with people traveling to each other’s homes, you’ll be responsible for understanding what works differently in those cultural contexts.

About Trust:

We are a group of data scientists working on products and analytics to enhance Trust and Safety on Airbnb’s platform. What’s the best way to know our users are who they say they are? How do we balance fraud prevention and user experience? As a Data Scientist working on Analytics, Trust, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to detect, prevent and mitigate fraud on Airbnb. You will be involved in building highly available and real-time risk detection services to understand ever evolving attack vectors and to keep Airbnb a safe and trusted community.

We have a strong team of data scientists, our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you. 

Responsibilities:

  • Define and evaluate key metrics and understand what moves them and why
  • Ownership of conceptualizing, developing, and maintaining dashboards and visualizations
  • Investigate evolving fraud trends to extract patterns, identify root causes and propose actionable solutions
  • Communicate analyses and recommendations to cross functional stakeholders for decision making
  • Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets

Qualities we value:

  • Advanced degree in a quantitative field. PhD is a plus.
  • 5+ years of professional industry experience in a quantitative analysis role
  • Advanced in SQL and proficient with a programming language, with Python or R a plus
  • Ability to communicate clearly and effectively to cross functional partners of varying technical levels
  • Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
  • Experience or willingness to learn tools to create data pipelines using Airflow
  • Building clear and easy to understand dashboards (Tableau) and presentations

 

Want some tips on how to get an interview at Airbnb?

What is Airbnb looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Senior Data Scientist like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Senior Data Scientist?
A great first step is organizing your path to an offer. Check out Kiter for tools to get started!